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.
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.
Below are publications associated with this project.
Distribution of near-surface permafrost in Alaska: estimates of present and future conditions
An analysis of relationships among climate forcing and time-integrated NDVI of grasslands over the U.S. northern and central Great Plains
NDVI, C3 and C4 production, and distributions in Great Plains grassland land cover classes
Grassland canopy parameters and their relationships to remotely sensed vegetation indices in the Nebraska Sand Hills
- Overview
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.
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
- Science
Below are other science projects associated with this project.
- Publications
Below are publications associated with this project.
Distribution of near-surface permafrost in Alaska: estimates of present and future conditions
High-latitude regions are experiencing rapid and extensive changes in ecosystem composition and function as the result of increases in average air temperature. Increasing air temperatures have led to widespread thawing and degradation of permafrost, which in turn has affected ecosystems, socioeconomics, and the carbon cycle of high latitudes. Here we overcome complex interactions among surface andAuthorsNeal J. Pastick, M. Torre Jorgenson, Bruce K. Wylie, Shawn J. Nield, Kristofer D. Johnson, Andrew O. FinleyFilter Total Items: 87An analysis of relationships among climate forcing and time-integrated NDVI of grasslands over the U.S. northern and central Great Plains
Time-integrated normalized difference vegetation index (TI NDVI) derived from the multitemporal satellite imagery (1989–1993) was used as a surrogate for primary production to investigate climate impacts on grassland performance for central and northern Great Plains grasslands. Results suggest that spatial and temporal variability in growing season precipitation, potential evapotranspiration, andAuthorsLimin Yang, Bruce K. Wylie, Larry L. Tieszen, Bradley C. ReedNDVI, C3 and C4 production, and distributions in Great Plains grassland land cover classes
The distributions of C3 and C4 grasses were used to interpret the distribution, seasonal performance, and potential production of grasslands in the Great Plains of North America. Thirteen major grassland seasonal land cover classes were studied with data from three distinct sources. Normalized Difference Vegetation Index (NDVI) data derived from the National Oceanic and Atmospheric AdministrationAuthorsL.L. Tieszen, Bradley C. Reed, Norman B. Bliss, Bruce K. Wylie, Benjamin D. DeJongGrassland canopy parameters and their relationships to remotely sensed vegetation indices in the Nebraska Sand Hills
Relationships among spectral vegetation indices and grassland biophysical parameters including the effects of varying levels of standing dead vegetation, range sites, and range plant communities were examined. Range plant communities consisting of northern mixed grass prairie and a smooth brome field as well as range sites and management in a Sand Hills bluestem prairie were sampled with a groundAuthorsBruce K. Wylie, Donovan D. DeJong, Larry L. Tieszen, Mario E. Biondini