(84 registered posters)
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Theme: |
1. Surface Radiation |
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Title: |
Validation analysis of MODIS surface reflectance using ASRVN |
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Author: |
A. Lyapustin, Y. Wang, A. Huete, E. Vermote, C, Schaaf |
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Email: |
Alexei. I.Lyapustin |
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Inst: |
UMBC/NASA GSFC |
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Abstract: |
AERONET-based Surface Reflectance Validation Network (ASRVN) is a new operational system which produces surface bidirectional reflectance (BRF) and albedo for 50 km areas centered at the AERONET sites from MODIS TERRA and AQUA. The AERONET aerosol and water vapor data are used for atmospheric correction of MODIS data. The ASRVN uses a sliding window algorithm and up to 16 days of gridded MODIS measurements to derive parameters of LSRT BRF model by fitting the top of atmosphere radiance. The high quality of |
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Theme: |
1. Surface Radiation |
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Title: |
Site Level Evaluation of MODIS Albedo and Reflectance Anisotropy Products |
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Author: |
M. Román, X. Yang, Z. Wang, Y. Shuai, C. Schaaf, C. Woodcock, A. Strahler |
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Email: |
schaaf@bu.edu |
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Inst: |
Boston University |
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Abstract: |
The global land surface MODIS BRDF/Albedo products are operationally produced at a 500m resolution every 8 days. They rely on multi-day, cloud-free, atmospherically-corrected surface reflectances from both Terra and Aqua and a reflectance anisotropy model to reconstruct the bidirectional reflectance distribution function of each location. These in turn can be integrated to provide periodic measures of intrinsic surface albedo: the isotropic bihemispherical reflectance or white-sky albedo, the directional h |
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Theme: |
2. Land cover / change |
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Title: |
Global Gross Forest Cover Loss and Carbon Release 2000-2005 |
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Author: |
M. Hansen, P. Potapov, S. Stehman, K. Pittman |
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Email: |
peter.potapov@sdstate.edu |
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Inst: |
Geographic Information Science Center of Excellence, South Dakota State University |
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Abstract: |
A global assessment of gross forest cover loss and estimated carbon release is presented. We employed a consistent methodology and data source to quantify forest clearing from 2000 to 2005 and related the area change to reference above-ground carbon data. Our remote sensing gross forest cover loss monitoring algorithm combines the strengths of global forest change mapping to produce a spatially explicit depiction of change at moderate resolution and statistical sampling to provide precise areal estimates o |
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Theme: |
2. Land cover / change |
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Title: |
Bias in biomass burning emissions estimates caused by outdated land cover information |
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Author: |
Hyer, E.J., J.S. Reid |
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Email: |
edward.hyer.ctr@nrlmry.navy.mil |
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Inst: |
UCAR / Naval Research Laboratory |
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Abstract: |
Global models of biomass burning emissions are dependent on global products describing relevant vegetation properties. These global databases are time-consuming and labor-intensive to produce and especially to validate. At present, there is no systematically produced and validated global land cover product. We used a 30-meter land cover dataset and a simple correction for the spatial uncertainty in MODIS and GOES fire detections to estimate a baseline fraction of fire activity related to forest clearing in |
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Theme: |
2. Land cover / change |
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Title: |
MODIS Global Disturbance Index |
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Author: |
David Mildrexler, Maosheng Zhao, Steve Running |
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Email: |
drexler@ntsg.umt.edu |
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Inst: |
University of Montana |
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Abstract: |
The MODIS Global Disturbance Index (MGDI) algorithm is designed for large-scale, regular, disturbance mapping using Aqua/MODIS Land Surface Temperature (LST) and Aqua/MODIS Enhanced Vegetation Index (EVI) data. The MGDI uses annual maximum composite LST data to detect fundamental changes in land-surface energy partitioning, while avoiding the high natural variability associated with tracking LST at daily, weekly, or seasonal time frames. We applied the full Aqua/MODIS dataset through 2006 to the MGDI algo |
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Theme: |
2. Land cover / change |
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Title: |
Monitoring Evergreen Forests in the Tropical Zone Using Time-Series MODIS images in 2000-2008 |
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Author: |
Chandrashekhar M. Biradar, Xiangming Xiao and Audrey Wang |
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Email: |
chandra.biradar@ou.edu |
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Inst: |
University of Oklahoma |
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Abstract: |
Large scale mapping and continuous monitoring of evergreen forests in the tropical zone is critical for the study of climate, carbon cycle and biodiversity. We have recently developed a simple and novel mapping algorithm that is based on the temporal profile analysis of Land Surface Water Index (LSWI), which is calculated as a normalized ratio between near infrared and shortwave infrared spectral bands. The LSWI-based mapping algorithm was first applied to map evergreen forests in tropical Africa, America |
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Theme: |
2. Land cover / change |
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Title: |
Monitoring Agricultural Intensification (cropping intensity and inundation) in the Tropical Zone Using Time-Series of MODIS images in 2000-2008 |
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Author: |
Xiangming Xiao, Chandrashekhar M. Biradar, and Audrey Wang |
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Email: |
xiangming.xiao@ou.edu; chandra.biradar@ou.edu; audrey.wang@ou.edu |
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Inst: |
University of Oklahoma |
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Abstract: |
Agriculture expansion and intensification (e.g., multiple crops in a year per unit cropland area, irrigation) in the tropical zone plays important role in food security, water resources, carbon cycle and climate as well as animal health and human health. We have recently developed a mapping algorithm that is based on the temporal profile analysis (TPA) of vegetation indices (Normalized Differenced Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), and Land Surface Water Index (LSWI)) for individual p |
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Theme: |
2. Land cover / change |
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Title: |
The development and evaluation of Phenological Change Indices |
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Author: |
Keith R. McCloy |
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Email: |
keith.mccloy@agrsci.dk |
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Inst: |
University of Aarhus |
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Abstract: |
The evidence of increasing levels of greenhouse gases in the atmosphere is well accepted in the scientific community. Changes in climate are one of the major implications that are currently being documented by various scientists around the globe. Some of the possible implications of climate change are changes in plant distribution, adaptations of the activities of man and plant evolution. If these implications are starting to take effect, then they will be affecting the plant phenology in an area. Vegeta |
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Theme: |
2. Land cover / change |
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Title: |
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Author: |
Toshihiro Sakamoto and Brian D. Wardlow |
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Email: |
sakamt@affrc.go.jp |
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Inst: |
National Drought Mitigation Center |
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Abstract: |
In this study, we developed a simple algorithm based on the 250-m resolution MODIS imagery for detecting the spatial pattern of corn and soybean fields in Nebraska. With the aim of the rapid data collection about crop production area, the proposed algorithm was designed to use the limited number of MODIS images, which were acquired only in vegetative stages. The algorithm classifies the land use pattern into three categories including corn, soybean and other. As the result of accuracy assessment using the |
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Theme: |
2. Land cover / change |
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Title: |
Monitoring annual changes of agricultural land use and flood dynamics in Mekong Delta, Vietnam with MODIS time-series imagery |
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Author: |
Toshihiro SAKAMOTO, P.A, CAO, A, KOTERA, K.D, NGUYEN, M, Yokozawa |
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Email: |
sakamt@affrc.go.jp |
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Inst: |
National Institute for Agro-Environmental Sciences, Japan |
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Abstract: |
In this presentation, we introduced the systematic algorithm using MODIS time-series imagery to classify the farming system in Mekong Delta, Vietnam. The results revealed that the spatial pattern of major farming system is closely related with the seasonal water regime caused by Asian monsoon. The double rice-cropping system (cultivated mainly in dry season) is distributed in the upper region, where is submerged for several month every year by Mekong flood. The double rice-cropping system (cultivated mainly |
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Theme: |
2. Land cover / change |
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Title: |
Estimating Biomass Burning Fire Radiative Energy using MODIS |
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Author: |
Evan Ellicott, Eric Vermote, Louis Giglio, Gareth Roberts |
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Email: |
ellicott@umd.edu |
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Inst: |
University of Maryland |
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Abstract: |
Application of satellite based measures of fire radiative energy (FRE) has been shown to be effective for estimating biomass consumed, which can then be used to estimate gas and aerosol emissions. However, application of FRE has been limited in both temporal and spatial scale. We present an approach to estimate instantaneous FRE, or fire radiative power (FRP), from the Moderate Resolution Imaging Spectrometer (MODIS) 8-day, 0.5 degree climate modeling grid (CMG) FRP observations. Integrating FRP over t |
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Theme: |
2. Land cover / change |
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Title: |
Bias in biomass burning emissions estimates caused by outdated land cover information |
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Author: |
Edward Hyer and Jeff Reid |
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Email: |
edward.hyer.ctr@nrlmry.navy.mil |
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Inst: |
UCAR / Naval Research Laboratory |
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Abstract: |
Global models of biomass burning emissions are dependent on global products describing relevant vegetation properties. These global databases are time-consuming and labor-intensive to produce and especially to validate. At present, there is no global land cover product that is updated and validated on a regular schedule. We used a 60-meter land cover dataset and a simple correction for the spatial uncertainty in MODIS and GOES fire detections to estimate a baseline fraction of fire activity related to fores |
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Theme: |
2. Land cover / change |
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Title: |
Estimating Biomass Consumed, Fuel Loads, and Carbon Emissions from African Fires using MODIS FRE |
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Author: |
Evan Ellicott, Eric Vermote, Louis Giglio, Gareth Roberts |
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Email: |
ellicott@umd.edu |
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Inst: |
University of Maryland |
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Abstract: |
Biomass burning is an important global phenomenon impacting vegetation, hydrology, and atmospheric composition. Quantifying biomass consumed by fire is a key component to understanding the dynamics of fire severity, spatial and temporal patterns, and emissions of aerosols and trace gases. Application of satellite based measures of fire radiative energy (FRE) has been shown to be effective for estimating biomass consumed, which can then be used to estimate gas and aerosol emissions. In this research w |
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Theme: |
2. Land cover / change |
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Title: |
The MODIS Fire and Thermal Anomalies Product: Stage III Validation |
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Author: |
Wilfrid Schroeder; Louis Giglio; Ivan Csiszar; Christopher Justice; Jeffrey Morisette |
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Email: |
wilfrid.schroeder@noaa.gov |
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Inst: |
University of Maryland |
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Abstract: |
The Fire and Thermal Anomalies data product derived from the MODIS instrument onboard Terra and Aqua (MOD14 and MYD14, respectively) was the first global active fire detection product at 1km spatial resolution. As such, it quickly captivated the scientific community and fire data users in general becoming the single most downloaded data set of the MODIS land product suite. The Fire and Thermal Anomalies fire detection algorithm has been improved since the launch of the Terra satellite in late 1999, based on |
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Theme: |
2. Land cover / change |
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Title: |
Land Cover of Northern Eurasia: Comparison and Assessment of Coarse Resolution Maps |
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Author: |
Dirk Pflugmacher, Olga Krankina*, Warren Cohen, Peder Nelson, Robert Kennedy, Tatiana Loboda, Tobias Kuemmerle, Vladimir Elsakov, Egor Dyukarev, Slava Kharuk |
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Email: |
olga.krankina@oregonstate.edu |
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Inst: |
Oregon State University |
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Abstract: |
Multiple moderate and coarse-resolution land-cover products based on different sensors have been developed in recent years to meet the diverse science and application needs. To compare publicly available datasets (GLC-2000 for Northern Eurasia v. 4.0, MODIS-IGBP Global Land Cover Collection v4 and v5 for 2001/2005, and Globcover 2005) in boreal and temperate Northern Eurasia their legends were converted into coarse plant functional type categories (trees, shrubs, herbaceous vegetation) and non- or sparsely |
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Theme: |
2. Land cover / change |
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Title: |
The National Agricultural Statistics Service Cropland Data Layer |
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Author: |
David M. Johnson |
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Email: |
dave_johnson@nass.usda.gov |
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Inst: |
USDA / National Agricultural Statistics Service |
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Abstract: |
Three years (‘06, ‘07, and ‘08) of summer circa land cover classifications focused on agriculturally intensive regions of the United States are presented. Categories mapped include all row-crop type commodities and general non-agricultural classes. Resourcesat-1 AWiFS imagery is utilized in conjunction with in situ data from the USDA Farm Service Agency and the USGS National Land Cover Dataset to derive the information. The products are gridded at 56 meter resolution, georeferenced for use within a GIS, and |
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Theme: |
2. Land cover / change |
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Title: |
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Author: |
Eric Vermote, Evan Ellicott, Oleg Dubovik, Tatyana Lapyonok, Mian Chin, Louis Giglio and Gareth J. Roberts |
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Email: |
eric@ltdri.org |
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Inst: |
University of Maryland |
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Abstract: |
Biomass burning is the main global source of fine primary carbonaceous aerosols in the form of organic carbon (OC) and black carbon (BC). We present an approach to estimate biomass burning aerosol emissions based on the measurement of radiative energy released during combustion. We make use of both Aqua and Terra MODIS observations to estimate the fire radiative energy using a simple model to parameterize the fire diurnal cycle based on the long term ratio between Terra and Aqua MODIS FRP. The parameteriz |
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Theme: |
2. Land cover / change |
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Title: |
Daily Vegetation Monitoring with the MODIS Reflectance Anisotropy Products |
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Author: |
Yanmin Shuai, Crystal L.B. Schaaf, Zhuosen Wang, Miguel O. Román, Xiaoyang Zhang, Xiaowen Li, Yonghua Qu, Jeffrey Morisette, Robert Wolfe, and David Roy |
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Email: |
schaaf@bu.edu |
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Inst: |
Boston University |
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Abstract: |
The MODIS reflectance anisotropy and albedo products have been providing Bidirectional Reflectance Distribution Function (BRDF) models, albedo measures, and nadir view-angle-corrected surface reflectances (Nadir BRDF-Adjusted Reflectance or NBAR) for nearly a decade now. The products have been widely used to initialize and evaluate surface radiation schemes and vegetation dynamics in climate and biogeochemical models, and also serve as key inputs to the MODIS operational land cover and phenology products. |
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Theme: |
2. Land cover / change |
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Title: |
Development of an Improved 5km Continuous Field of Forest Cover Product |
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Author: |
Xiaopeng Song, Min Feng, Chengquan Huang, John R. G. Townshend |
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Email: |
xpsong@umd.edu |
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Inst: |
Department of Geography, University of Maryland |
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Abstract: |
Modeling of Earth system processes requires accurate representation of forest cover within model grids. While the forest cover within each grid can be calculated using existing global land cover products, these products typically have substantial uncertainties. In this study we develop an approach for developing improved estimates of forest cover using 5-km grid cells by integrating existing global land cover products, including the GLCC (Global Land Cover Characterization), GLC2000 (Global Land Cover 2000) |
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Theme: |
2. Land cover / change |
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Title: |
Towards Developing Earth Science Data Records of Global Forest Cover Change |
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Author: |
John R.G. Townshend, Chengquan Huang, Jeffrey Masek, Matthew Hansen, Saurabh Channan, Min Feng, Paul Davis, Raghuram Narasimhan, Xiaopeng Song |
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Email: |
mfeng@umiacs.umd.edu |
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Inst: |
The Global Land Cover Facility, University of Maryland |
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Abstract: |
There is long-standing recognition of the need for global forest change detection at Landsat-class resolutions. In the next few years, we will produce the following Earth Science Data Records (ESDR) at fine and moderate spatial resolutions: • Global fine resolution (< 100 m) surface reflectance ESDR for four epochs centered around 1990, 2000, and 2005; • Fine resolution (< 100 m) forest cover change (FCC) ESDR between the four epochs; • Fragmentation products derived from the fine resolution FCC prod |
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Theme: |
2. Land cover / change |
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Title: |
Using MODIS imagery for clear-cut detection in Quebec |
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Author: |
L. Guindon, J. Beaubien, S. Côté, A. Beaudoin, G. Simard, P. Villemaire, R. Latifovic and D. Pouliot. |
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Email: |
lguindon@cfl.forestry.ca |
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Inst: |
Canadian Forest Service |
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Abstract: |
In the province of Québec, Canada, the updating of forest stand maps, after logging activities, is a tedious process. It is done at a fine scale and two to three years might be required to complete it. Despite the fact that this product is accurate, it does not allow to get a current annual global coverage needed for many studies at the provincial and national scale (ie. carbon modelling). A change detection product at large scale, even coarse, would be timelier to acquire and would meet different project n |
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Theme: |
2. Land cover / change |
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Title: |
Deliver and Visualize Geospatial Data through OGC Standards-based WebGIS System |
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Author: |
Suresh-Kumar Santhana-Vannan, Yaxing Wei,Robert B. Cook |
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Email: |
santhanavans@ornl.gov |
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Inst: |
OakRidge National Laboratory(ORNL) |
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Abstract: |
Traditional methods of geospatial data delivery and visualization lack the capabilities of automation and resource sharing across systems or organizational boundaries. They require users to download, process, and visualize the data “as-is” in their original format, projection and extent. Also, discovering such data requires prior knowledge of data location, and processing requires specialized expertise. These drawbacks of traditional methods add additional burden to users and often reduce the potentia |
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Theme: |
2. Land cover / change |
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Title: |
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Author: |
John W. Jones and Danielle Aiello |
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Email: |
jwjones@usgs.gov |
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Inst: |
U.S. Geological Survey |
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Abstract: |
The goal of this study is to test whether climate-induced changes in forests in the Eastern United States can be detected and characterized using satellite imagery. The forests of the Shenandoah National Park in the Blue Ridge province of Virginia provide an excellent “laboratory” in which to conduct a pilot study. Using records from the park and other types of satellite and airborne data analyses, we are identifying places recently impacted by fire, disease, insects, and other disturbances. This will allow |
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Theme: |
2. Land cover / change |
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Title: |
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Author: |
Carroll, M., Townshend, J., DiMiceli, C., Noojipady, P., and Sohlberg, R. |
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Email: |
sohlberg@umd.edu |
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Inst: |
University of Maryland |
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Abstract: |
A new 250 m mask delineating the earth's surface water is introduced. The mask is derived from SRTM and MODIS data. Funded by the NASA Terrestrial Ecology Program. |
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Theme: |
2. Land cover / change |
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Title: |
the MODIS global burned area product: initial global validation results |
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Author: |
Luigi Boschetti, David Roy, Christopher Justice |
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Email: |
luigi@hermes.geog.umd.edu |
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Inst: |
University of Maryland |
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Abstract: |
ABSTRACT: Earth-observing satellite systems provide the potential for an accurate and timely mapping of burned areas. Remote sensing algorithms developed to map burned areas are difficult to implement reliably over large areas, and globally, however, because of variations in both the surface state and those imposed by the re-mote sensing. The availability of robustly calibrated, atmospherically corrected, cloud-screened, geolocated global data provided by the Moderate Resolution Imaging Spectroradiometer |
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Theme: |
2. Land cover / change |
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Title: |
Global 500-m Estimates of Land Surface Phenology for 2001-2008 from MODIS |
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Author: |
Sangram Ganguly, Mark. A. Friedl, Bin Tan and Manish Verma |
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Email: |
sangramganguly@gmail.com |
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Inst: |
Boston University |
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Abstract: |
Information related to vegetation phenology is important for understanding seasonal and interannual variability in ecosystems, carbon exchange, and vegetation-climate interactions. MODIS, the Moderate Resolution Imaging Spectroradiometer, provides an excellent source of data for large scale repeatable monitoring of phenology at global scales. This work presented here describes recent results from the Collection 5 (C5) MODIS Global Land Cover Dynamics product (MOD12Q2), which provides global data sets relate |
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Theme: |
2. Land cover / change |
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Title: |
Ground-based vicarious calibration of Aqua and Terra MODIS |
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Author: |
Jeff Czapla-Myers |
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Email: |
j.czapla-myers@optics.arizona.edu |
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Inst: |
University of Arizona |
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Abstract: |
The Remote Sensing Group at the University of Arizona has been active in the radiometric calibration of Earth-observing sensors through the use of ground-based test sites. This poster describes the reflectance-based approach to vicarious calibration. It also describes an automated approach to vicarious calibration using an instrumented test site in central Nevada. Results for Terra and Aqua MODIS are presented. Future work to characterize the uncertainty in the NASA MEaSUREs vegetation phenology project is |
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Theme: |
2. Time series of vegetation data |
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Title: |
Biogeography and Dynamics of Global Savannas: A Geo-Spatial View |
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Author: |
Michael J. Hill and Miguel O. Roman |
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Email: |
hillmj@aero.und.edu |
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Inst: |
University of North Dakota |
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Abstract: |
The global savanna biome is huge and diverse and subject to major natural and anthropogenic disturbance. There is a need to build a synthesis across scales, measurement and modeling methods and natural and human processes, including information on measurement of carbon and water exchange in savannas, remote sensing of surface properties, and spatio-temporal measurement and modeling of tree-grass systems and impacts of disturbance from grazing, fire and other human actions. The MODIS sensor provides highly c |
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Theme: |
2. Time series of vegetation data |
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Title: |
Long-term Earth System Data Records of Vegetation Leaf Area Index from Multiple Satellite-borne Sensors: Evaluation and Validation |
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Author: |
Sangram Ganguly, Arindam Samanta, Mitchell A. Schull, Cristina Milesi, Ramakrishna R. Nemani, Yuri Knyazikhin, Ranga B. Myneni |
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Email: |
sangramganguly@gmail.com |
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Inst: |
Boston University |
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Abstract: |
The evaluation of a new global monthly leaf area index (LAI) data set for the period July 1981 to December 2006 derived from AVHRR Normalized Difference Vegetation Index (NDVI) data is described. The theoretical principle in retrieving LAI from NDVI is based on a physical algorithm rooted on the radiative transfer theory of canopy spectral invariants. Establishing the consistency and validity of the long-term coarse resolution LAI product is a challenging task. Here, the implementation, production and evalu |
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Theme: |
3. Vegetation Indices |
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Title: |
Robust Estimation of Vegetation Phenology from Polar Orbiting Imagers |
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Author: |
Richard Fernandes, Darren Pouliot, Shahid Khurshid, Rasim Latifovic |
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Email: |
richard.fernandes@nrcan.gc.ca |
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Inst: |
Canada Centre for Remote Sensing |
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Abstract: |
Time series from polar orbiting imagers has been long used for monitoring vegetation phenology over large regions. Often, time series of n-day NDIV composities are processed to extract either specific phenological dates or metrics related to vegetation status. However, artifacts related to sensor or atmosphere can often result in substantial noise in local estimates of phenology. Physically based approaches to correcting for these noise sources have known limitations due to uncertainties in the state of |
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Theme: |
3. Vegetation Indices |
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Title: |
MODIS Subsetting and Visualization tool – An online tool to subset and visualize time series of MODIS land products. |
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Author: |
Suresh K. Santhana Vannan, Robert B. Cook, Bruce E. Wilson, Lisa M. Olsen |
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Email: |
santhanavans@ornl.gov |
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Inst: |
Oak Ridge National Laboratory(ORNL) |
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Abstract: |
The Moderate Resolution Imaging Spectroradiometer (MODIS) sensor has provided valuable information on various aspects of the Earth System since March 2000. The spectral, spatial and temporal characteristics of MODIS products have made them an important data source for analyzing key land, atmosphere and ocean science questions relating to Earth System processes at regional, continental, and global scales. However, the size of the MODIS data files and the HDF-EOS format in which they are distributed can make |
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Theme: |
3. Vegetation Indices |
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Title: |
NOAA¡¯s AVHRR-based Green Vegetation Fraction Product: Current Status and Continuity |
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Author: |
Wei Guo, Ivan Csiszar, Le Jiang, Felix Kogan, Hanjun Ding |
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Email: |
Ivan.Csiszar@noaa.gov |
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Inst: |
NOAA/NESDIS/STAR |
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Abstract: |
The AVHRR-based Global Vegetation Processing System (GVPS) developed and operationally maintained by NOAA/NESDIS is generating real time weekly Green Vegetation Fraction (GVF) products using observations from the operational POES satellites (historically NOAA-7, 9, 11, 14, 16, 17, and -18). GVF is based on a linear scaling from NDVI values statistically adjusted to a benchmark global NDVI climatology using a cumulative distribution function (CDF) approach. With the recent launch of NOAA-N¡¯ (or NOAA-19), t |
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Theme: |
3. Vegetation Indices |
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Title: |
Analyzing the Effect of Burn Severity on Vegetation Recovery in Interior Alaska Using Remotely Sensed Indices |
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Author: |
Jared Oyler; Erica Smithwick |
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Email: |
JaredWO@gmail.com |
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Inst: |
Penn State University |
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Abstract: |
Wildfire is the dominant disturbance in the interior boreal region of Alaska and is predicted to increase with climate change. However, due to limited plot/stand scale studies, it is not known how increased burn severity alters post-fire recovery of vegetation productivity and biomass across heterogeneous boreal landscapes. Using remotely sensed data, this study analyzed the effect of burn severity (differenced Normalized Burn Ratio; dNBR) and related variables (pre-fire land cover, elevation, slope, solar |
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Theme: |
3. Vegetation Indices |
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Title: |
Using proximal sensing measurements to monitor grassland biophysical parameters and carbon fluxes of mountane grasslands |
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Author: |
Loris Vescovo, Damiano Gianelle |
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Email: |
vescovo@cealp.it; gianelle@cealp.it |
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Inst: |
CRI, Fondazione Mach |
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Abstract: |
The linkage of ecosystem fluxes measured with the eddy covariance technique and remotely sensed information is foreseen as the most promising method for scaling up surface fluxes and to overcome the modest spatial coverage of the eddy covariance sites. In this study, proximal sensing measurements were used to calculate different vegetation indexes which were applied as predictors of grassland carbon fluxes and Leaf Area Index. Reflectance and carbon fluxes data were collected at the Viote del Monte Bondon |
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Theme: |
3. Vegetation Indices |
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Title: |
Characteristics of NDVI from a New Generation Geostationary Satellite |
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Author: |
Hui Xu, Peter Romanov, Dan Tarpley, Kevin Gallo and Yunyue Yu |
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Email: |
Hui.Xu@noaa.gov |
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Inst: |
IMSG/STAR/NESDIS/NOAA |
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Abstract: |
GOES-R ABI will be the first GOES imaging instrument providing observations in both the visible and the near infrared spectral bands and therefore can be used to generate normalized difference vegetation index (NDVI) values for monitoring the state of the vegetation cover as well as identifying vegetation stress and drought. In addition to its improved spectral capability, the advantage of GOES-R ABI can be demonstrated through the enhanced spatial (c. 2 km) and temporal (every 5 min.) resolutions. Thi |
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Theme: |
3. Vegetation Indices |
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Title: |
The role of satellite data continuity in operational monitoring of vegetation drought stress |
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Author: |
Yingxin Gu, Jesslyn F. Brown, Tomoaki Miura, Willem van Leeuwen, and Bradley C. Reed |
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Email: |
ygu@usgs.gov |
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Inst: |
ASRC, contractor to USGS EROS |
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Abstract: |
Time-series satellite vegetation index data have been widely used to monitor a variety of dynamic land surface processes. Characterizing multi-sensor long-term time-series vegetation index data and cross-sensor continuity is important for monitoring climate impacts on vegetation response (e.g., vegetation drought monitoring), which relies on establishing seasonal and interannual baselines and variability. In this study, a phenological classification for the conterminous United States reflected expected land |
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Theme: |
3. Vegetation Indices |
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Title: |
Comparison of AVHRR NDVI Time Series and Trends from the GVI-x, GIMMS and LTDR Datasets (1982-1999) |
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Author: |
Marco Vargas, Felix Kogan, Wei Guo, Ivan Csiszar |
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Email: |
marco.vargas@noaa.gov |
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Inst: |
NOAA/NESDIS |
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Abstract: |
The AVHRR dataset is the longest daily synoptic coverage dataset available for climate studies. The NDVI derived from AVHRR is a proxy for plant photosynthesis and has been extensively used for climate studies. The satellite NDVI record begins in July 1981 and extends to the present time. In this work we compare the NDVI time series and trends extracted from three different publicly available datasets: Global Vegetation Index x-version (GVI-x), Global Inventory Modeling and Mapping Studies (GIMMS) and Land |
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Theme: |
3. Vegetation Indices |
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Title: |
Evaluation of MAIAC atmospheric correction using photochemical reflectance index |
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Author: |
A. Lyapustin, T. Hilker, F. Hall., Y. Wang, N. Coops, G. Drolet, T. A. Black |
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Email: |
Alexei.I.Lyapustin@nasa.gov |
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Inst: |
UMBC/NASA GSFC |
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Abstract: |
Multi-Angle Implementation of Atmospheric Correction (MAIAC) is a new algorithm developed for MODIS which uses a time series processing and an image-based rather than pixel-level analysis to simultaneously retrieve surface bidirectional reflectance and aerosol information. MAIAC solves a generic inversion problem without assumptions typical of current MODIS atmospheric correction algorithm, such as spectral regression or Lambertian assumptions. MAIAC has been extensively evaluated over different world regio |
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Theme: |
3. Vegetation Indices |
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Title: |
||
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Author: |
David M. Johnson |
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Email: |
dave_johnson@nass.usda.gov |
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Inst: |
USDA / National Agricultural Statistics Service |
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Abstract: |
Time-series charts describing crop phenology in terms of satellite observed NDVI across 15 intensively cultivated states of interior United States are presented for years 2006, 2007, and 2008. The profiles were derived by intersecting known field location and crop type information from the USDA Farm Service Agency against remotely sensed imagery from the MODIS sensor aboard the NASA Terra satellite. Specifically analyzed was the derived 16-day composited, 250 meter resolution, NDVI layer from “MOD13Q1” scie |
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Theme: |
3. Vegetation Indices |
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Title: |
Detection and estimation of mixed paddy rice cropping patterns with MODIS data |
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Author: |
Dailiang Peng, Alfredo.R. Huete, Jingfeng Huang, Fuming Wang, Huasheng Sun |
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Email: |
pdlzju@yahoo.com.cn |
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Inst: |
Agricultural Remote Sensing and Information Application, Zhejiang University; Terrestrial Biophysics & Remote Sensing Laboratory at Univertisy of Arizona |
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Abstract: |
We developed a more sophisticated method for detection and estimation of mixed paddy rice agriculture from Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data. Previous research demonstrated that MODIS data can be used to map paddy rice fields and to distinguish rice from other crops at large, continental scales with combined enhanced vegetation index (EVI) and land surface water index (LSWI) analysis during the flooding and rice transplanting stage. Our approach improves upon this methodol |
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Theme: |
3. Vegetation Indices |
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Title: |
||
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Author: |
Zhangyan Jiang 1, Alfredo, Huete 1, Yujie Wang 2, Alexei Lyapustin 2 |
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Email: |
zjiang@email.arizona.edu, ahuete@email.arizona.edu |
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Inst: |
1. Department of soil, water and environmental science, University of Arizona. 2 GEST center, University of Maryland Baltimore county, Catonsville, MD 21228 |
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Abstract: |
The MODIS vegetation index (VI) products (MOD13) have been widely used in many terrestrial science applications that aim to monitor ad characterize the Earth’s vegetation dynamic from space. The quality and reliability of the MODIS VI products are vital to these studies. There is a need to assess the quality of the MODIS VI products. In this study, the AERONET-based Surface Reflectance Validation Network (ASRVN) dataset, which is designed as a validation tool for the moderate resolution (~1 km) global surf |
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Theme: |
3. Vegetation Indices |
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Title: |
A Data Access and Comparison Tool for Vegetation Data from Diverse Sources |
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Author: |
Jerry Y. Pan, Robert B. Cook, Suresh K. Santhana Vannan, Bruce E. Wilson, Steve Ansari, and Jeff Privette |
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Email: |
cookrb@ornl.gov |
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Inst: |
Oak Ridge National Laboratory |
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Abstract: |
Satellite remote sensing data products, along with surface field measurements can enhance our understanding of land surface biogeochemical processes. In addition, field-based information can serve to validate remote sensing products. Traditionally access to diverse field measurements and remote sensing data in a seamlessly automatic fashion is difficult, due to factors in data storage formats and distribution methods. Data centers such as ORNL DAAC and NOAA NCDC are in a unique position to address this p |
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Theme: |
3. Vegetation Indices |
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Title: |
Interchangeability of Aqua/Terra MODIS Vegetation Index Data |
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Author: |
Enrique L. Montano |
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Email: |
tresmont@umd.edu |
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Inst: |
University of Maryland |
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|
Abstract: |
Temporally contemporary observation data have been available from the MODerate Resolution Imaging Spectroradiometer (MODIS) sensors aboard the Aqua and Terra satellites since mid-2002. The primary difference between these observations is the time of day it is made (a.m. observation for Terra and p.m. for Aqua). Composite vegetation index data are processed in 16-day discrete periods to achieve maximum quality of observation, which are then set eight days apart with the series 1, 16, 32, … for Terra and 8, |
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Theme: |
3. Vegetation Indices |
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|
Title: |
Amazon response to drought in MODIS vegetation index (EVI) and land surface temperature (LST) space |
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Author: |
Ramon Solano and Alfredo Huete |
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Email: |
rsolanob@email.arizona.edu |
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Inst: |
University of Arizona |
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|
Abstract: |
We looked at the 2005 drought in LST- VI space to investigate their slope relationships and sensitivities in Amazon Forests and savanna areas. We investigated both seasonal variations in VI- LST relationships as well as spatial variations across a climate gradient, and inter-annual variations, particularly across the 2005 drought. We show positive VI- LST relationships in light-limited Amazon forests that green-up and negative VI- LST relationships in drier Amazon forests, savanna, and forest converted ar |
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Theme: |
3. Vegetation Indices |
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Title: |
Vegetation Phenology and Vegetation Index Products from Multiple Long Term Satellite Data Records |
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Author: |
Kamel Didan, Van Leeuwen Willem, Miura Tomoaki, Friedl Mark , Xioyang Zhang, Czapla-Myers Jeff, Jenkerson Calli, David Meyer |
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Email: |
didan@email.arizona.edu |
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|
Inst: |
Univ. of Arizona |
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|
Abstract: |
In this NASA Making Earth System data records for Use in Research Environments (NASA-MEaSUREs) project our multi-institution team of investigators plans to generate a seamless and consistent sensor independent Earth System Data Record and Climate Data Record (ESDR/CDR) quality measures of landscape phenology and vegetation index (VI), by fusing measurements from different satellite missions and sensors. We’re using the AVHRR, MODIS and VIIRS daily surface reflectance products and the concept of homogeneous |
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Theme: |
4. Biophysical Variables |
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Title: |
Forest monitoring using an inverted geometric-optical model and up-scaling |
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Author: |
Yuan Zeng, Bingfang Wu, Michael E. Schaepman |
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|
Email: |
yuanz@irsa.ac.cn |
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Inst: |
Institute of Remote Sensing Applications, Chinese Academy of Sciences |
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Abstract: |
The physical based Li-Strahler geometric-optical model can be inverted to retrieve forest canopy structural variables. One of the main inputs of the inverted model is the fractional component of sunlit background, which can be calculated by using pure reflectance spectra (endmembers) of the viewed surface components. In this study, we use the Li-Strahler model combined with a scaling-based approach to map and detect the change of forest canopy structure. We firstly extract the endmembers from the low spatia |
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Theme: |
4. Biophysical Variables |
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|
Title: |
Satellite Based Modeling of Net CO2 Exchange and Uncertainty Analysis using MODIS and AMSR-E: Developing Future Carbon Algorithms for SMAP |
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|
Author: |
Lucas A. Jones, John S. Kimball, Ke Zhang, Kyle C. McDonald |
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Email: |
lucas@ntsg.umt.edu |
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Inst: |
University of Montana |
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|
Abstract: |
Uncertainty in model parameters, structure, and driving data constrain our ability to characterize the terrestrial carbon cycle using satellite remote sensing and ecosystem process modeling. We developed a satellite remote sensing based carbon model to derive daily net ecosystem exchange of CO2 (NEE) using MODIS GPP inputs and surface soil moisture and temperature retrievals from AMSR-E. Model initialization assumes dynamic steady state conditions between NPP and surface soil organic carbon stocks (SOC) un |
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Theme: |
4. Biophysical Variables |
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Title: |
||
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Author: |
Y. Kim, J. S. Kimball, K.C. McDonald, K. Zhang, and J. Lucotch |
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Email: |
youngwook.kim@ntsg.umt.edu |
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Inst: |
University of Montana |
|
|
Abstract: |
Approximately 50 million km2 of the terrestrial Northern Hemisphere undergoes seasonal freeze-thaw (F/T) transitions each year. The timing and duration of landscape F/T processes are closely linked to surface energy budget and hydrological activity, vegetation phenology, terrestrial carbon budgets and land-atmosphere trace gas exchange. Satellite microwave remote sensing is relatively insensitive to signal degradation by atmospheric contamination and solar illumination effects and is uniquely capable of det |
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Theme: |
4. Biophysical Variables |
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Title: |
||
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Author: |
T. Yao, X. Yang, F. Zhao, A. Strahler, C. Woodcock,C. Schaaf, D. Jupp, D. Culvenor, G. Newnham, W. Ni-Meister |
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|
Email: |
schaaf@bu.edu |
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|
Inst: |
Boston University |
|
|
Abstract: |
A ground-based, upward-scanning, full-waveform lidar instrument is used to retrieve forest canopy structural information, including stand height, mean tree diameter, basal area, stem count density, woody biomass, leaf area index, and foliage profile, This terrestrial lidar instrument, Echidna®, developed by CSIRO Australia, allows rapid acquisition of vegetation structure data that can be readily integrated with downward-looking airborne and spaceborne lidars (such as the Laser Vegetation Imaging Sensor - |
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Theme: |
4. Biophysical Variables |
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|
Title: |
Regional Vegetation Responses to Drought in the Southwest USA using MODIS, AVHRR and TRMM Satellite Data |
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|
Author: |
Guillermo Ponce, Alfredo Huete |
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|
Email: |
geponce@email.arizona.edu |
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|
Inst: |
University of Arizona |
|
|
Abstract: |
According to sources that have performed studies at regional scales over the Western United States like Cook et al. (2004), an unprecedented multiyear drought is occurring in this region and its vulnerability to changes in precipitation represents a critical issue that requires a better understanding. Therefore, it is critical trying to recognize long-term drought variability and its causes over this region to identify how climate variability is affecting this type of regions. In this work, we addressed |
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Theme: |
4. Biophysical Variables |
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|
Title: |
Estimating fractional cover of photosynthetic vegetation, non-photosynthetic vegetation and bare soil in the Australian tropical savanna region upscaling the EO-1 Hyperion and MODIS sensors |
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|
Author: |
Juan Pablo Guerschman, Michael J. Hill, Luigi J. Renzullo, Damian J. Barrett, Alan S. Marks and Elizabeth Botha |
|
|
Email: |
Juan.Guerschman@csiro.au |
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|
Inst: |
CSIRO |
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|
Abstract: |
Quantitative estimation of fractional cover of photosynthetic vegetation (fPV), non-photosynthetic vegetation (fNPV) and bare soil (fBS) is critical for natural resource management and for modeling carbon dynamics. Accurate estimation of fractional cover is especially important for monitoring and modeling savanna systems, subject to highly seasonal rainfall and drought, grazing by domestic and native animals, and frequent burning. This paper describes a method for resolving fPV, fNPV and fBS across the ~2 m |
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Theme: |
4. Biophysical Variables |
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|
Title: |
THE USE OF ECOLOGICAL MODELS TO GENERATE CONTINUOUS CANOPY HEIGHT MAPS FROM LiDAR |
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|
Author: |
Naiara Pinto, Marc Simard |
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|
Email: |
Naiara.Pinto@jpl.nasa.gov |
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|
Inst: |
Jet Propulsion Laboratory |
|
|
Abstract: |
Remote sensing is a critical tool for quantifying carbon stocks in forest ecosystems. One approach involves measuring canopy height using LiDAR and deriving biomass estimates using allometric equations. Although LiDAR-derived waveforms can produce height measurements with high (<5m) vertical accuracy, LiDAR shots are in general spatially sparse. Here, we present a method for combining LiDAR data and ecological models to produce continuous canopy height maps. We have applied the regression tree Random For |
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Theme: |
4. Biophysical Variables |
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|
Title: |
Upscaling Leaf Area Index and Biomass from FORMOSAT-2 images |
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|
Author: |
Demarez V.,Claverie M., Fieuzal R., Duchemin B., Hagolle O., Keravec P., Dejoux J.F., Ceschia E. , Dedieu G. |
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|
Email: |
valerie.demarez@cesbio.cnes.fr |
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|
Inst: |
CESBIO |
|
|
Abstract: |
The recent availability of high spatial resolution sensors (IKONOS, SPOT5, …) associated to high temporal resolution like FORMOSAT and, in the future, Venµs with high spatial, temporal and spectral resolutions (~10 m/~1 day, Venµs, Sentinelle-2 and GMES-Continental programmes) offers new perspectives for terrestrial applications (agriculture, risks). The aim of this work is to develop a methodology for deriving biophysical variables (Leaf Area Index - LAI, Biomass) from multi-temporal observations at high s |
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Theme: |
4. Biophysical Variables |
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|
Title: |
Evaluation of MODIS vegetation products in a sahelian environment (Gourma, Mali) |
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|
Author: |
Mougin Eric, Demarez Valérie, Hiernaux Pierre, Larouzière Laurent, Lion Christine, Diawara Mamadou, Soumaguel Nogmana |
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|
Email: |
eric.mougin@cesbio.cnes.fr |
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|
Inst: |
CESBIO |
|
|
Abstract: |
Field estimates of LAI, FCover, FAPAR and Net Primary Productivity of sahelian savannas located in northern Mali are performed at 1 km scale aiming at evaluating MODIS products. Field measurements focus on the estimation of the LAI temporal variation of the different components of the savanna, including the grass layer and the tree cover. LAI estimations at the considered scale combine plot-derived LAI using hemispherical photographs with a sampling methodology. Relationships between LAI, FCover, FAPAR are |
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Theme: |
4. Biophysical Variables |
|
|
Title: |
Can vegetation structure and biochemistry be independently retrieved from canopy scattering measurements? |
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|
Author: |
Richard Fernandes |
|
|
Email: |
richard.fernandes@ccrs.nrcan.gc.ca |
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|
Inst: |
Canada Centre for Remote Sensing |
|
|
Abstract: |
(YOUNGEE - I know this is late but these are very new and I feel interesting results - I dont mind sharing space with my other poster - Richard) Both vegetation structure and biochemistry play an important role in defining ecosystem status and fluxes. Many studies suggest that the relatonship between these vegetation parameters and canopy scattering of shortwave radiation is coupled in a manner that makes if difficult to estimate one quantity without constraining the other. Here it is shown that, to a |
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Theme: |
4. Biophysical Variables |
|
|
Title: |
VAlidation of Land European Remote sensing Instruments (10 years of activities) |
|
|
Author: |
Philippe Rossello |
|
|
Email: |
philippe.rossello@avignon.inra.fr |
|
|
Inst: |
INRA-UAPV EMMAH |
|
|
Abstract: |
The activities within the framework of the VALERI project have made it possible to provide high spatial resolution maps of biophysical variables (LAI, fAPAR, fCover) estimated from ground measurements to validate products derived from satellite observations for ten years. A synthesis of the results is proposed to the participants. |
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Theme: |
4. Biophysical Variables |
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|
Title: |
EO-1: Satellite Products as Precursor for HyspIRI |
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|
Author: |
Elizabeth M. Middleton, Petya K. E. Campbell, Qingyuan Zhang, K. Fred Huemmrich, Stephen G. Ungar and Lawrence Ong |
|
|
Email: |
petya.campbell@gsfc.nasa.gov |
|
|
Inst: |
UMBC |
|
|
Abstract: |
Background The Earth Observing One (EO-1) Mission, launched in November, 2000 as part of NASA’s New Millennium Program, is in it’s seventh year of operation. From the start it was recognized that a key criteria for evaluating the EO-1 technology and outlining future Earth science mission needs is the ability of the technology/strategy to characterize terrestrial surface state and processes. The EO-1 Science Validation Team conducted a range of investigations to ascertain how well the employed technology an |
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Theme: |
4. Biophysical Variables |
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|
Title: |
Test the Newly Improved Global MOD16 ET Algorithm at AmeriFlux Tower Sites |
|
|
Author: |
Qiaozhen Mu, Maosheng Zhao, Steven W. Running |
|
|
Email: |
qiaozhen@ntsg.umt.edu |
|
|
Inst: |
University of Montana |
|
|
Abstract: |
We have further improved the MOD16 ET algorithm by adding canopy evaporation and wet ground evaporation. The improved MOD16 ET algorithm was validated at 40 AmeriFlux tower sites using the level 3 data. Both the tower observed meteorology data and GMAO data were used to drive the previous and improved algorithm. MODIS version 5 EVI, LAI/FPAR were used as inputs to both algorithms. The daily root mean square error (RMSE) dropped from 810.10 W m-2 to 30.38 W m-2 driven by tower meteorology data, and from 45.4 |
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|
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Theme: |
4. Biophysical Variables |
|
|
Title: |
Development of a national biodiversity monitoring system for Canada using Earth Observation data |
|
|
Author: |
Nicholas C Coops and Michael A Wulder |
|
|
Email: |
nicholas.coops@ubc.ca |
|
|
Inst: |
Univ. British Columbia |
|
|
Abstract: |
With the worlds second largest landmass, Canada contains a wide variety of plant and animal species diversity. Out of 177 terrestrial regions, 14 have been classified as high risk for biodiversity loss. Traditional approaches to measuring species richness provide useful, yet spatially constrained information. Remote sensing offers the opportunity for large area characterizations of biodiversity in a systematic, repeatable, and spatially exhaustive manner. The BIOSPACE project is developing the capacity for |
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|
|
Theme: |
4. Biophysical Variables |
|
|
Title: |
Variations and Trends of the MODIS Terrestrial Primary Production from 2000 to 2008 |
|
|
Author: |
Maosheng Zhao, Steven Running |
|
|
Email: |
zhao@ntsg.umt.edu |
|
|
Inst: |
University of Montana |
|
|
Abstract: |
With the Collection5 MODIS FPAR/LAI, we generated the improved Collection5.1 (C5.1) MODIS GPP and NPP. Due to the limitation of the availability of consistent daily meteorological data driver, GMAO/NASA, we now have C5.1 MODIS GPP and NPP (GPP/NPP-GMAO) from 2000 to 2006. To cover the entire period from 2000 to 2008, we used NCEP/DOE reanalysis II (NCEP-II) to drive our MODIS GPP/NPP algorithm. Both global NPP by GMAO and NCEP-II have significantly negative correlation with annual CO2 growth rate observe |
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|
|
|
|
Theme: |
4. Biophysical Variables |
|
|
Title: |
Earth System Data Records of Vegetation Leaf Area Index from Multiple Satellite-borne Sensors: Evaluation and Validation |
|
|
Author: |
Sangram Ganguly, Arindam Samanta, Mitchell A. Schull, Cristina Milesi2, Ramakrishna R. Nemani2, Nikolay V. Shabanov, Yuri Knyazikhin and Ranga B. Myneni |
|
|
Email: |
sangramganguly@gmail.com |
|
|
Inst: |
Boston University |
|
|
Abstract: |
The evaluation of a new global monthly leaf area index (LAI) data set for the period July 1981 to December 2006 derived from AVHRR Normalized Difference Vegetation Index (NDVI) data is described. The theoretical principle in retrieving LAI from NDVI is based on a physical algorithm rooted on the radiative transfer theory of canopy spectral invariants. Establishing the consistency and validity of the long-term coarse resolution LAI product is a challenging task. Here, the implementation, production and evalu |
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|
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|
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Theme: |
4. Biophysical Variables |
|
|
Title: |
||
|
Author: |
Arindam Samanta, Sangram Ganguly, Mitchel Schull, Nikolay Shabanov, Yuri Knyazikhin, Ranga Myneni |
|
|
Email: |
arindam@bu.edu |
|
|
Inst: |
Boston University |
|
|
Abstract: |
MODIS LAI algorithm was substantially refined for the Collection 5 reprocessing to optimally use suite of MODIS observations from Terra and Aqua sensors. Refinements are based on advancements in RT theory, analysis of former versions of global time series of LAI product and product validation with field measurements. The Look-up-tables were regenerated for all vegetation types based on a new Stochastic RT model. The Collection 5 suite of LAI/FPAR products possesses higher quality retrievals than previous ve |
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|
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|
|
Theme: |
4. Biophysical Variables |
|
|
Title: |
Mapping Canopy Structure in the Western United States using MISR and MODIS |
|
|
Author: |
Mark Chopping, Crystal Schaaf, Feng Zhao, Zhuosen Wang, Anne Nolin, et al. |
|
|
Email: |
chopping@pegasus.montclair.edu |
|
|
Inst: |
Montclair State University |
|
|
Abstract: |
Retrievals of woody plant canopy cover and height were obtained through adjustment of a simple geometric-optical (GO) model against red band surface bidirectional reflectance estimates at ~250 m spatial resolution from MISR and MODIS. Mapped forest heights over Colorado from MISR had RMSE and R2 distributions centered between 2.5–3.7 m and 0.4–0.7, respectively. MODIS cover, height, and aboveground woody biomass maps were produced over the western US, providing mean absolute errors of 0.09, 8.4 m, and ~10 M |
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|
|
|
|
Theme: |
4. Biophysical Variables |
|
|
Title: |
Similarity of seasonal patterns in climatic and biophysical variables from AmeriFlux data and MODIS subsets. |
|
|
Author: |
Hirofumi Hashimoto |
|
|
Email: |
hirofumi.hashimoto@gmail.com |
|
|
Inst: |
California State Univ. - Monterey Bay |
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Abstract: |
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Theme: |
4. Biophysical Variables |
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Title: |
Similarity of seasonal patterns in climatic and biophysical variables from AmeriFlux data and MODIS subsets. |
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Author: |
Hirofumi Hashimoto |
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Email: |
hirofumi.hashimoto@gmail.com |
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Inst: |
California State Univ. - Monterey Bay |
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Abstract: |
Global estimation of surface carbon and water flux is crucial for climate change study. However, the climatic and biophysics variables needed for modeling those fluxes is still difficult to retrieve in global scale. In this study, our objectives are to estimate some of the key variables using satellite data. Our method is simply compare the climatology of each variables at 56 flux measurement sites. We demonstrated the possibility of the estimation of climatic and biophysical variables (Tmin, VPD, fPAR, |
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Theme: |
4. The application of global vegetation monitoring to societal benefit areas |
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Title: |
Automation of evapotranspiration calculation for MODIS data |
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Author: |
Junming Wang and Ted W. Sammis |
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Email: |
jwang@nmsu.edu |
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Inst: |
New Mexico State University |
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Abstract: |
Traditional evapotranspiration (ET) calculation from satellite data and meteorological data are not automated. But these data are downloaded and processed manually limiting their use and not make the results available in real time. A VI-Ts method of calculating ET is the only method that has been automated because this method does not require any surface meteorological data. However, this method underestimates the ET compared to ground truth point measurements. This research developed an automated Interne |
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Theme: |
5. Integration |
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Title: |
Future Monitoring of Freeze/Thaw and Soil Moisture Controls to Northern Carbon Cycle Dynamics from SMAP |
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Author: |
John Kimball, Rolf Reichle, Kyle McDonald, Peggy O'Neill |
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Email: |
johnk@ntsg.umt.edu |
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Inst: |
University of Montana |
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Abstract: |
A major goal of the Soil Moisture Active Passive (SMAP) mission as directed by the recent NRC Decadal Survey is to reduce uncertainty regarding the boreal carbon sink for atmospheric CO2. The planned freeze/thaw (F/T) state measurement from SMAP will provide a surrogate measure of seasonal frozen and non-frozen conditions that define the potential growing season for northern ecosystems. The F/T variable also provides a measure of cold temperature constraints to plant growth and sequestration of atmospheric |
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Theme: |
5. Integration |
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Title: |
Scope of India’s Biodiversity Database in Global Monitoring of Vegetation Variables |
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Author: |
MD Behera1 and PS Roy2 |
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Email: |
mdbehera@coral.iitkgp.ernet.in |
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Inst: |
1Indian Institute of Technology, Kharagpur; 2National Remote Sensing Centre (ISRO), Hyderabad, India |
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Abstract: |
Inventory and assessment of existing level and spatial pattern of biodiversity are essential for long and short-term monitoring of vegetation variables. Indian initiative on ‘Biodiversity Characterization at Landscape Level (BCLL) using satellite remote sensing and GIS’ is an important step to develop baseline data of the country, which is nearing completion in 2010. Biological Richness, considered to be cumulative property of ecological habitat and its surrounding environment, is being assessed using six a |
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Theme: |
5. Integration |
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Title: |
Scope of India’s Biodiversity Database in Global Monitoring of Vegetation Variables |
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Author: |
MD Behera1 and PS Roy2 |
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Email: |
mdbehera@coral.iitkgp.ernet.in |
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Inst: |
1Indian Institute of Technology, Kharagpur; 2National Remote Sensing Centre (ISRO), Hyderabad, India |
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Abstract: |
Inventory and assessment of existing level and spatial pattern of biodiversity are essential for long and short-term monitoring of vegetation variables. Indian initiative on ‘Biodiversity Characterization at Landscape Level (BCLL) using satellite remote sensing and GIS’ is an important step to develop baseline data of the country, which is nearing completion in 2010. Biological Richness, considered to be cumulative property of ecological habitat and its surrounding environment, is being assessed using six a |
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Theme: |
5. Integration |
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Title: |
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Author: |
Qiuhong Tang and Dennis P. Lettenmaier |
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Email: |
qiuhong@hydro.washington.edu |
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Inst: |
University of Washington |
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Abstract: |
Water availability is a key issue in most river basins of the western United States. Problems of drought, population growth, and environmental concerns, accentuated by climate change, are leading to increasing challenges in future water management within the region. Irrigation is by far the largest consumptive water use (withdrawal minus return flow) throughout the western U.S. However, direct measurement of consumptive use of agricultural water is difficult– while irrigation water withdrawals are relativel |
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Theme: |
5. Integration |
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Title: |
Equatorward transport of nitrogen in the tropics by biomass burning |
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Author: |
Yang Chen, James T. Randerson |
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Email: |
yang.chen@uci.edu |
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Inst: |
University of California, Irvine |
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Abstract: |
Tropical ecosystems store nearly half of global net primary production (NPP) and may contribute substantially to contemporary and future land carbon sinks. Here we present the net nitrogen (N) flux change over tropical ecosystems due to savanna and deforestation fires. We find the Hadley circulation carries fire emissions toward the Intertropical Convergence Zone (ITCZ), and a large portion of fire-emitted reactive N (Nr) is returned to terrestrial ecosystems via dry and wet deposition. The composite effect |
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Theme: |
5. Integration |
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Title: |
Regional assessment of MODIS and AMSR-E derived vegetation phenology. |
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Author: |
Matthew O. Jones, J.S. Kimball, L.A. Jones, and K.C. McDonald |
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Email: |
matt.jones@ntsg.umt.edu |
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Inst: |
University of Montana |
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Abstract: |
Satellite optical-infrared remote sensing has long been used to monitor vegetation phenology at continental to global scales. Numerous models incorporating optical-IR vegetation indices (LAI, NDVI) have been applied to measure the timing of major phenological events including the start, peak, end and duration of the growing season, but these indices are sensitive to signal degradation from reduced solar illumination, clouds, smoke and other atmospheric effects, which can reduce temporal fidelity and accurac |
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Theme: |
5. Integration |
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Title: |
Combining ground and remote sensing methods to scale riparian and agricultural water use over the Lower Colorado River |
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Author: |
Pamela L. Nagler, Kiyomi Morino, Scott Murray, John Osterberg, Edward P. Glenn |
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Email: |
pnagler@usgs.gov, pnagler@ag.arizona.edu |
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Inst: |
U.S. Geological Survey, BRD |
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Abstract: |
Accurate wide-area estimates of agricultural and riparian evapotranspiration (ET) are needed to apportion water for human and ecosystem needs on arid zone rivers. We used the Enhanced Vegetation Index (EVI) from the MODIS sensor on the Terra satellite to scale ET over agricultural and riparian areas along the Lower Colorado River in the southwestern U.S. Ground measurements of ET by alfalfa, saltcedar, cottonwood and arrowweed were expressed as fraction of reference crop ETo (ET-F) calculated from meteoro |
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Theme: |
5. Integration |
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Title: |
Saltcedar (Tamarix Spp.) Water Use and Ecohydrological Niches on the Lower Colorado River |
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Author: |
Kiyomi Morino, Pamela Nagler, Kamel Didan, Joseph Erker, John Osterberg, Kevin Hultine, Edward Glenn |
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Email: |
pnagler@usgs.gov, pnagler@ag.arizona.edu |
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Inst: |
University of Arizona |
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Abstract: |
In many places along the lower Colorado River, saltcedar (Tamarix spp) has replaced the native shrubs and trees, including arrowweed, mesquite, cottonwood and willows. Some have advocated that by removing saltcedar, we could save water and create environments more favorable to these native species. We questioned these assumptions, and hypothesized that saltcedar has invaded areas that were previously flooded annually, which allowed native species to flourish in a low-salt environment. Moreover, we believ |
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Theme: |
5. Integration |
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Title: |
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Author: |
Weile Wang, Jennifer Dungan, Andrew Michaelis, Hirofumi Hashimoto, Rama Nemani |
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Email: |
weile.wang@gmail.com |
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Inst: |
NASA Ames Research Center; University Corporation at Monterey Bay |
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Abstract: |
Numerous efforts have begun to characterize a variety of sources of uncertainty in carbon flux estimates from both forward modeling and inverse modeling approaches. One source of uncertainty is structural, created by the variety of approaches taken to select and characterize the most important biogeochemical processes. To begin to explore this structural uncertainty, we have used an ensemble of well-known models including CASA, LPJ, and Biome-BGC with a consistent set of inputs for the period 1982-2006 fo |
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Theme: |
5. Integration |
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Title: |
Extending TOPS: A Prototype Anomaly Detection Architecture |
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Author: |
Petr Votava, Ramakrishna Nemani, Andrew Michaelis, Ashok Srivastava |
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Email: |
Petr.Votava-1@nasa.gov |
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Inst: |
NASA Ames/CSUMB |
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Abstract: |
The management and processing of Earth science data has been gaining importance over the last decade due to higher data volumes generated by a larger number of instruments, and due to the increase in complexity of Earth science models that use this data. The volume of data itself is often a limiting factor in obtaining the information needed by the scientists; without more sophisticated data volume reduction technologies, possible key information may not be discovered. We are especially interested in automa |
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Theme: |
5. Integration |
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Title: |
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Author: |
Enrique L. Montano |
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Email: |
tresmont@umd.edu |
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Inst: |
University of Maryland |
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Abstract: |
Temporally concurrent observation data have been available from the MODIS sensors aboard the Aqua and Terra satellites since mid-2002. The primary difference between these observations is the time of day it is made (a.m. observation for Terra and p.m. for Aqua). Composite vegetation index data are processed in 16-day discrete periods to achieve maximum quality of observation, which are then set eight days apart with the series 1, 16, 32, … for Terra and 8, 24, 40, … for Aqua. The assumption has been thes |
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Theme: |
5. Integration |
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Title: |
Carbon Fluxes in Ecosystems of the Greater Yellowstone Area Predicted from Remote Sensing Data and Simulation Modeling |
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Author: |
S. Klooster, C. Potter, S. Huang, R. Crabtree, V. Genovese, P. Gross |
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Email: |
sklooster@gaia.arc.nasa.gov |
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Inst: |
NASA Ames Research Center, California State Univ. - Monterey Bay, Yellowstone Ecological Research Center |
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Abstract: |
Abstract A simulation model based on remote sensing data for spatial vegetation properties is being used to estimate ecosystem carbon and water fluxes across the GYA. The model called CASA (Carnegie Ames Stanford Approach) applied at a regional level can estimate seasonal and annual carbon fluxes as net primary production (NPP) and soil respiration components. Predicted net ecosystem production (NEP) flux of CO2 is estimated from the model for carbon sinks and sources over multi-year periods that vary in |
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Theme: |
5. Integration |
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Title: |
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Author: |
Tsegaye Tadesse and Brian D. Wardlow |
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Email: |
ttadesse2@unl.edu |
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Inst: |
National Drought Mitigation Center, University of Nebraska-Lincoln |
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Abstract: |
Large-area outlooks of future vegetation conditions are important for a wide range of applications that include agricultural crop estimates and drought monitoring. Such predictions are very challenging given the complexity of climate-vegetation interactions and diversity of land use practices across large geographic areas. However, potential advancements in this area are becoming possible with the availability of longer historical records of remote sensing observations and high quality environmental data |
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Theme: |
5. Integration |
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Title: |
The Riverscape Analysis Project: A Typology of North Pacific Salmon Rivers. |
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Author: |
Niels Maumenee, Samantha Chilcote, Jack Stanford, John Kimball, Diane Whited, John Lucotch, and Daniel Goodman |
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Email: |
niels.maumenee@umontana.edu |
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Inst: |
The University of Montana |
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Abstract: |
To assist salmon conservation efforts around the North Pacific Rim, we developed and analyzed a geospatial database of riverine landscape features in the North Pacific. The system architecture and database design optimize parameter extraction, streamline data maintenance, standardize processing workflow and provides users with access via the Internet. We quantified and classified physical complexity by watershed for all rivers draining into the Pacific Ocean in the contiguous United States, British Columb |
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Theme: |
5. Integration |
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Title: |
The Land Measurements Portal |
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Author: |
Enrique L. Montano |
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Email: |
tresmont@umd.edu |
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Inst: |
University of Maryland |
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Abstract: |
The last 10 years have seen great advances in the acquisition and processing of remotely sensed observations from an ever-growing array of sensors at multiple scales. That time has also seen an exponential growth of products derived from these data allowing researchers to better understand environmental mechanisms of our planet. While numerous products are developed and distributed through a primary source such as a space agency, many are also developed by research institutions for specific projects or wi |
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Theme: |
5. Integration |
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Title: |
Synoptic Global Remote Sensing of Land Surface Variables: Challenges and Opportunities |
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Author: |
Barreto Armando, Kamel Didan |
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Email: |
abarreto@email.arizona.edu |
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Inst: |
VIP Lab., Univ. of Arizona |
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Abstract: |
Continuous collection of global satellite imagery through the years, have contributed to the creation of a long satellite imagery archive from AVHRR, MODIS and others. These records account now for 30+years. As the archive grows it becomes an invaluable source of data for many environmental related studies, dealing with trends and changes at local and global scale. For atmospheric research this is perfect, however for studies dealing with phenomena's at the surface of the earth, the presence of clouds, |
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Theme: |
5. Integration |
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Title: |
Satellite-Derived Global Long-Term Terrestrial Evapotranspiration Estimates |
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Author: |
Ke Zhang; John S. Kimball; Qiaozhen Mu; Steven W Running |
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Email: |
zhang@ntsg.umt.edu |
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Inst: |
NTSG, University of Montana |
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Abstract: |
We applied a satellite remote sensing based evapotranspiration (ET) algorithm to assess global terrestrial ET from 1983 to 2006. The algorithm quantifies canopy transpiration and soil evaporation using a modified Penman-Monteith approach with biome-specific canopy conductance determined from NDVI, and quantifies water body evaporation with a Priestley-Taylor approach. These algorithms were applied globally using AVHRR GIMMS NDVI with NCEP/NCAR reanalysis daily surface meteorology and NASA/GEWEX solar radia |
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Theme: |
5. Integration |
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Title: |
Stream Flow/Temperature changes of Pacific Northwest Basins under Projected Climate Change |
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Author: |
Huan Wu, Fengge Su, John S. Kimball |
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Email: |
Huan.Wu@ntsg.umt.edu |
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Inst: |
NTSG |
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Abstract: |
Hydrologic model is a very important tool for assessing historic and future conditions of river ecosystems under projected climate change by quantifying dynamic environmental constraints (stream flow and temperature) to habitat quantity and distribution. To study the current patterns of terrestrial salmon habitat and associated productivity in North Pacific Rim basins response to projected climate change, a regional scale hydrologic simulation scheme was developed to predict the stream flow and temperature |
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