Thomas Loveland (Former Employee)
Science and Products
Filter Total Items: 142
Toward the use of remote sensing and other data to delineate functional types in terrestrial and aquatic systems
This chapter discusses the role that remotely sensed data play in improving the ability to document the distribution of global land cover types. If the relationships between the cover types and trace gas fluxes can be determined, then the dynamics of these fluxes can be established. The chapter discusses important aquatic systems—such as wetlands—and the land–water interface. Researchers have a wi
Authors
J. E. Estes, Thomas R. Loveland
Land cover characterization and land surface parameterization research
The understanding of land surface processes and their parameterization in atmospheric, hydrologic, and ecosystem models has been a dominant research theme over the past decade. For example, many studies have demonstrated the key role of land cover characteristics as controlling factors in determining land surface processes, such as the exchange of water, energy, carbon, and trace gases between the
Authors
Louis T. Steyaert, Thomas R. Loveland, William J. Parton
The IGBP-DIS global 1km land cover data set, DISCover: First results
The International Geosphere-Biosphere Programme Data and Information System (IGBP-DIS) is co-ordinating the development of global land data sets from Advanced Very High Resolution Radiometer (AVHRR) data. The first is a 1 km spatial resolution land cover product 'DISCover', based on monthly Normalized Difference Vegetation Index composites from 1992 and 1993. DISCover is a 17 class land cover data
Authors
Thomas R. Loveland, A.S. Belward
The International Geosphere Biosphere Programme Data and Information System global land cover data set (DISCover)
The International Geosphere Biosphere Programme Data and Information System (IGBP-DIS), through the mapping expertise of the U.S. Geological Survey and the European Commission's Joint Research Centre, recently guided the completion of a 1-km resolution global land cover data set from advanced very high resolution radiometer (AVHRR) data. The 1-km resolution land cover product, “DISCover,” was base
Authors
Thomas R. Loveland, A.S. Belward
The IGBP-DIS global 1 km land cover data set, DISCover: First results
The International Geosphere-Biosphere Programme Data and Information System (IGBP-DIS) is co-ordinating the development of global land data sets from Advanced Very High Resolution Radiometer (AVHRR) data. The first is a 1 km spatial resolution land cover product 'DISCover', based on monthly Normalized Difference Vegetation Index composites from 1992 and 1993. DISCover is a 17 class land cover data
Authors
Thomas R. Loveland, A.S. Belward
Land cover mapping, fire regeneration, and scaling studies in the Canadian boreal forest with 1 km AVHRR and Landsat TM data
A multitemporal 1 km advanced very high resolution radiometer (AVHRR) land cover analysis approach was used as the basis for regional land cover mapping, fire disturbance-regeneration, and multiresolution land cover scaling studies in the boreal forest ecosystem of central Canada. The land cover classification was developed by using regional field observations from ground and low-level aircraft tr
Authors
L. T. Steyaert, F.G. Hall, Thomas R. Loveland
Spatial partitioning of environmental correlates of avian biodiversity in the conterminous United States
Classification and regression tree (CART) analysis was used to create hierarchically organized models of the distribution of bird species richness across the conterminous United States. Species richness data were taken from the Breeding Bird Survey and were related to climatic and land use data. We used a systematic spatial grid of approximately 12,500 hexagons, each approximately 640 square kilom
Authors
R.J. O'Connor, M.T. Jones, D. White, C. Hunsaker, Tom Loveland, Bruce Jones, E. Preston
An approach for using AVHRR data to monitor U.S. great plains grasslands
Environmental monitoring requires regular observations regarding the status of the landscape- The concept behind most monitoring efforts using satellite data involve deriving normalized difference vegetation index (NDVI) values or accumulating the NDVI over a specified time period. These efforts attempt to estimate the continuous growth of green biomass by using continuous additions of NDVI as a s
Authors
B. C. Reed, Thomas R. Loveland, L.L. Tieszen
Seasonal land-cover regions of the United States
Global-change investigations have been hindered by deficiencies in the availability and quality of land-cover data. The U.S. Geological Survey and the University of Nebraska-Lincoln have collaborated on the development of a new approach to land-cover characterization that attempts to address requirements of the global-change research community and others interested in regional patterns of land cov
Authors
Thomas R. Loveland, James W. Merchant, Jesslyn F. Brown, Donald O. Ohlen, Bradley C. Reed, Paul Olson, John Hutchinson
Monitoring seasonal dynamics of North America grasslands using VEGETATION
No abstract available.
Authors
D. J. Meyer, B. C. Reed, Thomas R. Loveland, J.C. Eidenshink, L.L. Tieszen, S. Schiller, J. Merchant, J. Lewis
A remote sensing based vegetation classification logic for global land cover analysis
This article proposes a simple new logic for classifying global vegetation. The critical features of this classification are that 1) it is based on simple, observable, unambiguous characteristics of vegetation structure that are important to ecosystem biogeochemistry and can be measured in the field for validation, 2) the structural characteristics are remotely sensible so that repeatable and effi
Authors
Steven W. Running, Thomas R. Loveland, Lars L. Pierce, R.R. Nemani, E. Raymond Hunt
Seasonal land-cover regions of the United States
Global-change investigations have been hindered by deficiencies in the availability and quality of land-cover data. The U.S. Geological Survey and the University of Nebraska-Lincoln have collaborated on the development of a new approach to land-cover characterization that attempts to address requirements of the global-change research community and others interested in regional patterns of land cov
Science and Products
Filter Total Items: 142
Toward the use of remote sensing and other data to delineate functional types in terrestrial and aquatic systems
This chapter discusses the role that remotely sensed data play in improving the ability to document the distribution of global land cover types. If the relationships between the cover types and trace gas fluxes can be determined, then the dynamics of these fluxes can be established. The chapter discusses important aquatic systems—such as wetlands—and the land–water interface. Researchers have a wi
Authors
J. E. Estes, Thomas R. Loveland
Land cover characterization and land surface parameterization research
The understanding of land surface processes and their parameterization in atmospheric, hydrologic, and ecosystem models has been a dominant research theme over the past decade. For example, many studies have demonstrated the key role of land cover characteristics as controlling factors in determining land surface processes, such as the exchange of water, energy, carbon, and trace gases between the
Authors
Louis T. Steyaert, Thomas R. Loveland, William J. Parton
The IGBP-DIS global 1km land cover data set, DISCover: First results
The International Geosphere-Biosphere Programme Data and Information System (IGBP-DIS) is co-ordinating the development of global land data sets from Advanced Very High Resolution Radiometer (AVHRR) data. The first is a 1 km spatial resolution land cover product 'DISCover', based on monthly Normalized Difference Vegetation Index composites from 1992 and 1993. DISCover is a 17 class land cover data
Authors
Thomas R. Loveland, A.S. Belward
The International Geosphere Biosphere Programme Data and Information System global land cover data set (DISCover)
The International Geosphere Biosphere Programme Data and Information System (IGBP-DIS), through the mapping expertise of the U.S. Geological Survey and the European Commission's Joint Research Centre, recently guided the completion of a 1-km resolution global land cover data set from advanced very high resolution radiometer (AVHRR) data. The 1-km resolution land cover product, “DISCover,” was base
Authors
Thomas R. Loveland, A.S. Belward
The IGBP-DIS global 1 km land cover data set, DISCover: First results
The International Geosphere-Biosphere Programme Data and Information System (IGBP-DIS) is co-ordinating the development of global land data sets from Advanced Very High Resolution Radiometer (AVHRR) data. The first is a 1 km spatial resolution land cover product 'DISCover', based on monthly Normalized Difference Vegetation Index composites from 1992 and 1993. DISCover is a 17 class land cover data
Authors
Thomas R. Loveland, A.S. Belward
Land cover mapping, fire regeneration, and scaling studies in the Canadian boreal forest with 1 km AVHRR and Landsat TM data
A multitemporal 1 km advanced very high resolution radiometer (AVHRR) land cover analysis approach was used as the basis for regional land cover mapping, fire disturbance-regeneration, and multiresolution land cover scaling studies in the boreal forest ecosystem of central Canada. The land cover classification was developed by using regional field observations from ground and low-level aircraft tr
Authors
L. T. Steyaert, F.G. Hall, Thomas R. Loveland
Spatial partitioning of environmental correlates of avian biodiversity in the conterminous United States
Classification and regression tree (CART) analysis was used to create hierarchically organized models of the distribution of bird species richness across the conterminous United States. Species richness data were taken from the Breeding Bird Survey and were related to climatic and land use data. We used a systematic spatial grid of approximately 12,500 hexagons, each approximately 640 square kilom
Authors
R.J. O'Connor, M.T. Jones, D. White, C. Hunsaker, Tom Loveland, Bruce Jones, E. Preston
An approach for using AVHRR data to monitor U.S. great plains grasslands
Environmental monitoring requires regular observations regarding the status of the landscape- The concept behind most monitoring efforts using satellite data involve deriving normalized difference vegetation index (NDVI) values or accumulating the NDVI over a specified time period. These efforts attempt to estimate the continuous growth of green biomass by using continuous additions of NDVI as a s
Authors
B. C. Reed, Thomas R. Loveland, L.L. Tieszen
Seasonal land-cover regions of the United States
Global-change investigations have been hindered by deficiencies in the availability and quality of land-cover data. The U.S. Geological Survey and the University of Nebraska-Lincoln have collaborated on the development of a new approach to land-cover characterization that attempts to address requirements of the global-change research community and others interested in regional patterns of land cov
Authors
Thomas R. Loveland, James W. Merchant, Jesslyn F. Brown, Donald O. Ohlen, Bradley C. Reed, Paul Olson, John Hutchinson
Monitoring seasonal dynamics of North America grasslands using VEGETATION
No abstract available.
Authors
D. J. Meyer, B. C. Reed, Thomas R. Loveland, J.C. Eidenshink, L.L. Tieszen, S. Schiller, J. Merchant, J. Lewis
A remote sensing based vegetation classification logic for global land cover analysis
This article proposes a simple new logic for classifying global vegetation. The critical features of this classification are that 1) it is based on simple, observable, unambiguous characteristics of vegetation structure that are important to ecosystem biogeochemistry and can be measured in the field for validation, 2) the structural characteristics are remotely sensible so that repeatable and effi
Authors
Steven W. Running, Thomas R. Loveland, Lars L. Pierce, R.R. Nemani, E. Raymond Hunt
Seasonal land-cover regions of the United States
Global-change investigations have been hindered by deficiencies in the availability and quality of land-cover data. The U.S. Geological Survey and the University of Nebraska-Lincoln have collaborated on the development of a new approach to land-cover characterization that attempts to address requirements of the global-change research community and others interested in regional patterns of land cov