Ecosystem Performance, Productivity and Sustainability Active
Remotely-sensed data forms the backbone of the large-scale maps, models and assessments created at EROS to advance the understanding of Ecosystem Performance, Productivity and Sustainability.
![](https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/styles/side_image/public/thumbnails/image/ak_current.jpg?itok=mNfZDDF4)
Detailed data from cooperators with site-specific flux towers are integrated to create models of a land cover type - grassland, for example – which can be simulated across a region. Tasks describe exchanges of Gross Primary Productivity (GPP) and Net Ecosystem Exchange (NEE) in the Northern Great Plains and other regions.
Cooperation with the Bureau of Land Management (BLM), universities, and others provides the ground data to develop and validate pixel-specific models of ecosystem performance based on the remote sensing archive, climate, and site potential.
This modeling, EROS’ rich archival resources and the research team’s special ability to combine near real-time, remotely-sensed data with other large spatial data sets, also allows for the evaluation, mapping, and dynamic monitoring of ecosystem performance.
The work is funded through the USGS Land Change Science (LCS) Program, which strives to understand the nation's most pressing environmental, natural resource, and economic challenges by providing the information and tools necessary and identifying possible solutions.
Additional funding comes from USGS National Land Imaging program, BLM, and the U.S. Fish and Wildlife Service (FWS).
EROS’ remote sensing ecology projects include permafrost and biomass mapping in Alaska, the study of invasive grass in the Great Basin, and the identification of lands with the potential for biofuels feedstock. Follow these links for more detailed information on those projects:
- Monitoring Arctic and boreal ecosystems through the assimilation of field-based studies, remote sensing, and modelling
- Cheatgrass Dieoff Time-series Dynamics, 2000-2010
- Identifying Lands Suitable for Biofuel Feedstock Crops by Dynamic Modeling of Ecosystem Performance
- Carbon Flux Quantification in the Great Plains
Below are other science projects associated with this project.
Near-Real-Time Cheatgrass Monitoring
Monitoring Arctic and boreal ecosystems through the assimilation of field-based studies, remote sensing, and modelling
Identifying Lands Suitable for Biofuel Feedstock Crops by Dynamic Modeling of Ecosystem Performance
Cheatgrass Dieoff Time-series Dynamics (2000 – 2010)
Carbon Flux Quantification in the Great Plains
Inland Lakes, Rivers and Streams
Evapotranspiration and Water Use Mapping
Below are publications associated with this project.
Distribution of near-surface permafrost in Alaska: estimates of present and future conditions
Spatiotemporal remote sensing of ecosystem change and causation across Alaska
Using remote sensing to quantify ecosystem site potential community structure and deviation in the Great Basin, United States
Geospatial data mining for digital raster mapping
Assessing historical and projected carbon balance of Alaska: A synthesis of results and policy/management implications
Rapid crop cover mapping for the conterminous United States
Mapping cropland waterway buffers for switchgrass development in the eastern Great Plains, USA
Spatiotemporal analysis of Landsat-8 and Sentinel-2 data to support monitoring of dryland ecosystems
Fusing MODIS with Landsat 8 data to downscale weekly normalized difference vegetation index estimates for central Great Basin rangelands, USA
Integrating future scenario‐based crop expansion and crop conditions to map switchgrass biofuel potential in eastern Nebraska, USA
The role of driving factors in historical and projected carbon dynamics of upland ecosystems in Alaska
Productivity and CO2 exchange of Great Plains ecoregions. I. Shortgrass steppe: Flux tower estimates
Estimating carbon and showing impacts of drought using satellite data in regression-tree models
Remotely-sensed data forms the backbone of the large-scale maps, models and assessments created at EROS to advance the understanding of Ecosystem Performance, Productivity and Sustainability.
![](https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/styles/side_image/public/thumbnails/image/ak_current.jpg?itok=mNfZDDF4)
Detailed data from cooperators with site-specific flux towers are integrated to create models of a land cover type - grassland, for example – which can be simulated across a region. Tasks describe exchanges of Gross Primary Productivity (GPP) and Net Ecosystem Exchange (NEE) in the Northern Great Plains and other regions.
Cooperation with the Bureau of Land Management (BLM), universities, and others provides the ground data to develop and validate pixel-specific models of ecosystem performance based on the remote sensing archive, climate, and site potential.
This modeling, EROS’ rich archival resources and the research team’s special ability to combine near real-time, remotely-sensed data with other large spatial data sets, also allows for the evaluation, mapping, and dynamic monitoring of ecosystem performance.
The work is funded through the USGS Land Change Science (LCS) Program, which strives to understand the nation's most pressing environmental, natural resource, and economic challenges by providing the information and tools necessary and identifying possible solutions.
Additional funding comes from USGS National Land Imaging program, BLM, and the U.S. Fish and Wildlife Service (FWS).
EROS’ remote sensing ecology projects include permafrost and biomass mapping in Alaska, the study of invasive grass in the Great Basin, and the identification of lands with the potential for biofuels feedstock. Follow these links for more detailed information on those projects:
- Monitoring Arctic and boreal ecosystems through the assimilation of field-based studies, remote sensing, and modelling
- Cheatgrass Dieoff Time-series Dynamics, 2000-2010
- Identifying Lands Suitable for Biofuel Feedstock Crops by Dynamic Modeling of Ecosystem Performance
- Carbon Flux Quantification in the Great Plains
Below are other science projects associated with this project.
Near-Real-Time Cheatgrass Monitoring
Monitoring Arctic and boreal ecosystems through the assimilation of field-based studies, remote sensing, and modelling
Identifying Lands Suitable for Biofuel Feedstock Crops by Dynamic Modeling of Ecosystem Performance
Cheatgrass Dieoff Time-series Dynamics (2000 – 2010)
Carbon Flux Quantification in the Great Plains
Inland Lakes, Rivers and Streams
Evapotranspiration and Water Use Mapping
Below are publications associated with this project.