Thomas Loveland (Former Employee)
Science and Products
Filter Total Items: 140
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
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
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
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
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
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
A vegetation classification logic-based on remote-sensing for use in global biogeochemical models
A simple new classification logic for global vegetation is proposed. The critical features of this classification are that: it is based on simple, observable, unambiguous character- istics of vegetation structure that are important to ecosystem biogeochemistry and can be measured in the field for validation; the structural characteristics can be determined by remote sensing, so that repeatable an
Authors
Steven W. Running, Thomas R. Loveland, L.L. Pierce
Measuring phenological variability from satellite imagery
Vegetation phenological phenomena are closely related to seasonal dynamics of the lower atmosphere and are therefore important elements in global models and vegetation monitoring. Normalized difference vegetation index (NDVI) data derived from the National Oceanic and Atmospheric Administration's Advanced Very High Resolution Radiometer (AVHRR) satellite sensor offer a means of efficiently and obj
Authors
Bradley C. Reed, Jesslyn F. Brown, D. Vanderzee, Thomas R. Loveland, James W. Merchant, Donald O. Ohlen
Science and Products
Filter Total Items: 140
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
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
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
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
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
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
A vegetation classification logic-based on remote-sensing for use in global biogeochemical models
A simple new classification logic for global vegetation is proposed. The critical features of this classification are that: it is based on simple, observable, unambiguous character- istics of vegetation structure that are important to ecosystem biogeochemistry and can be measured in the field for validation; the structural characteristics can be determined by remote sensing, so that repeatable an
Authors
Steven W. Running, Thomas R. Loveland, L.L. Pierce
Measuring phenological variability from satellite imagery
Vegetation phenological phenomena are closely related to seasonal dynamics of the lower atmosphere and are therefore important elements in global models and vegetation monitoring. Normalized difference vegetation index (NDVI) data derived from the National Oceanic and Atmospheric Administration's Advanced Very High Resolution Radiometer (AVHRR) satellite sensor offer a means of efficiently and obj
Authors
Bradley C. Reed, Jesslyn F. Brown, D. Vanderzee, Thomas R. Loveland, James W. Merchant, Donald O. Ohlen