Thomas Loveland (Former Employee)
Science and Products
Filter Total Items: 142
Addressing foundational elements of regional land-use change forecasting
Regional land-use models must address several foundational elements, including understanding geographic setting, establishing regional land-use histories, modeling process and representing drivers of change, representing local land-use patterns, managing issues of scale and complexity, and development of scenarios. Key difficulties include managing an array of biophysical and socioeconomic process
Authors
Terry L. Sohl, Thomas Loveland, Benjamin M. Sleeter, Kristi Sayler, Christopher Barnes
Exploring subtle land use and land cover changes: A framework for future landscape studies
Land cover and land use changes can have a wide variety of ecological effects, including significant impacts on soils and water quality. In rural areas, even subtle changes in farming practices can affect landscape features and functions, and consequently the environment. Fine-scale analyses have to be performed to better understand the land cover change processes. At the same time, models of land
Authors
Thomas Houet, Thomas Loveland, Laurence Hubert-Moy, Cedric Gaucherel, Darrell Napton, Christopher Barnes, Kristi Sayler
Assessing the landscape context and conversion risk of protected areas using satellite data products
Since the establishment of the first national park (Yellowstone National Park in 1872) and the first wildlife refuge (Pelican Island in 1903), dramatic changes have occurred in both ecological and cultural landscapes across the U.S. The ability of these protected areas to maintain current levels of biodiversity depend, at least in part, on the integrity of the surrounding landscape. Our objective
Authors
Leona K. Svancara, J. M. Scott, Thomas R. Loveland, Anna Pidgorna
Monitoring land use on military installations
The US Geological Survey's Land Cover Trends is a research projects aimed to understand the rates, trends, causes, and consequences of contemporary US land use and land-cover change. The project is using the EPA Level III eco-regions as a geographic framework to process geospatial data collected between 1973 and 2000 to characterize ecosystem responses to land-use changes. The results are expected
Authors
K.A. Karstensen, Thomas R. Loveland
Land-cover observations as part of a Global Earth Observation System of Systems (GEOSS): Progress, activities, and prospects
The international land-cover community has been working with GEO since 2005 to build the foundations for land-cover observations as an integral part of a Global Earth Observation System of Systems (GEOSS). The Group on Earth Observation (GEO) has provided the platform to elevate the societal relevance of land cover monitoring and helped to link a diverse set of global, regional, and national activ
Authors
M. Herold, C. E. Woodcock, Thomas R. Loveland, J. Townshend, M. Brady, C. Steenmans, C. C. Schmullius
Influences of specific land use/land cover conversions on climatological normals of near-surface temperature
Quantification of the effects of land use/land cover (LULC) changes on proximal measurements of near-surface air temperature is crucial to a better understanding of natural and anthropogenically induced climate change. In this study, data from stations utilized in deriving U.S. climatological temperature normals were analyzed in conjunction with NCEP-NCAR 50-Year Reanalysis (NNR) estimates and hig
Authors
Robert C. Hale, Kevin P. Gallo, Thomas R. Loveland
Landsat still contributing to environmental research
Landsat data have enabled continuous global monitoring of both human-caused and other land cover disturbances since 1972. Recently degraded performance and intermittent service of the Landsat 7 and Landsat 5 sensors, respectively, have raised concerns about the condition of global Earth observation programs. However, Landsat imagery is still useful for landscape change detection and this capabilit
Authors
Thomas R. Loveland, Mark A. Cochrane, Geoffrey M. Henebry
Humid tropical forest clearing from 2000 to 2005 quantified by using multitemporal and multiresolution remotely sensed data
Forest cover is an important input variable for assessing changes to carbon stocks, climate and hydrological systems, biodiversity richness, and other sustainability science disciplines. Despite incremental improvements in our ability to quantify rates of forest clearing, there is still no definitive understanding on global trends. Without timely and accurate forest monitoring methods, policy resp
Authors
Matthew C. Hansen, S.V. Stehman, Peter V. Potapov, Thomas R. Loveland, J.R.G. Townshend, R.S. DeFries, K.W. Pittman, B. Arunarwati, F. Stolle, M.K. Steininger, M. Carroll, C. DiMiceli
Combining MODIS and Landsat imagery to estimate and map boreal forest cover loss
Estimation of forest cover change is important for boreal forests, one of the most extensive forested biomes, due to its unique role in global timber stock, carbon sequestration and deposition, and high vulnerability to the effects of global climate change. We used time-series data from the MODerate Resolution Imaging Spectroradiometer (MODIS) to produce annual forest cover loss hotspot maps. Thes
Authors
P. Potapov, Matthew C. Hansen, S.V. Stehman, Thomas R. Loveland, K. Pittman
Integrating remotely sensed land cover observations and a biogeochemical model for estimating forest ecosystem carbon dynamics
Land cover change is one of the key driving forces for ecosystem carbon (C) dynamics. We present an approach for using sequential remotely sensed land cover observations and a biogeochemical model to estimate contemporary and future ecosystem carbon trends. We applied the General Ensemble Biogeochemical Modelling System (GEMS) for the Laurentian Plains and Hills ecoregion in the northeastern Unite
Authors
J. Liu, S. Liu, Thomas R. Loveland, L.L. Tieszen
Landsat continuity: Issues and opportunities for land cover monitoring
Initiated in 1972, the Landsat program has provided a continuous record of earth observation for 35 years. The assemblage of Landsat spatial, spectral, and temporal resolutions, over a reasonably sized image extent, results in imagery that can be processed to represent land cover over large areas with an amount of spatial detail that is absolutely unique and indispensable for monitoring, managemen
Authors
M.A. Wulder, Joanne C. White, S.N. Goward, J. G. Masek, J. R. Irons, M. Herold, W.B. Cohen, Thomas R. Loveland, C. E. Woodcock
The FORE-SCE model: a practical approach for projecting land cover change using scenario-based modeling
A wide variety of ecological applications require spatially explicit, historic, current, and projected land use and land cover data. The U.S. Land Cover Trends project is analyzing contemporary (1973–2000) land-cover change in the conterminous United States. The newly developed FORE-SCE model used Land Cover Trends data and theoretical, statistical, and deterministic modeling techniques to project
Authors
Terry L. Sohl, Kristi Sayler, Mark A. Drummond, Thomas R. Loveland
Science and Products
Filter Total Items: 142
Addressing foundational elements of regional land-use change forecasting
Regional land-use models must address several foundational elements, including understanding geographic setting, establishing regional land-use histories, modeling process and representing drivers of change, representing local land-use patterns, managing issues of scale and complexity, and development of scenarios. Key difficulties include managing an array of biophysical and socioeconomic process
Authors
Terry L. Sohl, Thomas Loveland, Benjamin M. Sleeter, Kristi Sayler, Christopher Barnes
Exploring subtle land use and land cover changes: A framework for future landscape studies
Land cover and land use changes can have a wide variety of ecological effects, including significant impacts on soils and water quality. In rural areas, even subtle changes in farming practices can affect landscape features and functions, and consequently the environment. Fine-scale analyses have to be performed to better understand the land cover change processes. At the same time, models of land
Authors
Thomas Houet, Thomas Loveland, Laurence Hubert-Moy, Cedric Gaucherel, Darrell Napton, Christopher Barnes, Kristi Sayler
Assessing the landscape context and conversion risk of protected areas using satellite data products
Since the establishment of the first national park (Yellowstone National Park in 1872) and the first wildlife refuge (Pelican Island in 1903), dramatic changes have occurred in both ecological and cultural landscapes across the U.S. The ability of these protected areas to maintain current levels of biodiversity depend, at least in part, on the integrity of the surrounding landscape. Our objective
Authors
Leona K. Svancara, J. M. Scott, Thomas R. Loveland, Anna Pidgorna
Monitoring land use on military installations
The US Geological Survey's Land Cover Trends is a research projects aimed to understand the rates, trends, causes, and consequences of contemporary US land use and land-cover change. The project is using the EPA Level III eco-regions as a geographic framework to process geospatial data collected between 1973 and 2000 to characterize ecosystem responses to land-use changes. The results are expected
Authors
K.A. Karstensen, Thomas R. Loveland
Land-cover observations as part of a Global Earth Observation System of Systems (GEOSS): Progress, activities, and prospects
The international land-cover community has been working with GEO since 2005 to build the foundations for land-cover observations as an integral part of a Global Earth Observation System of Systems (GEOSS). The Group on Earth Observation (GEO) has provided the platform to elevate the societal relevance of land cover monitoring and helped to link a diverse set of global, regional, and national activ
Authors
M. Herold, C. E. Woodcock, Thomas R. Loveland, J. Townshend, M. Brady, C. Steenmans, C. C. Schmullius
Influences of specific land use/land cover conversions on climatological normals of near-surface temperature
Quantification of the effects of land use/land cover (LULC) changes on proximal measurements of near-surface air temperature is crucial to a better understanding of natural and anthropogenically induced climate change. In this study, data from stations utilized in deriving U.S. climatological temperature normals were analyzed in conjunction with NCEP-NCAR 50-Year Reanalysis (NNR) estimates and hig
Authors
Robert C. Hale, Kevin P. Gallo, Thomas R. Loveland
Landsat still contributing to environmental research
Landsat data have enabled continuous global monitoring of both human-caused and other land cover disturbances since 1972. Recently degraded performance and intermittent service of the Landsat 7 and Landsat 5 sensors, respectively, have raised concerns about the condition of global Earth observation programs. However, Landsat imagery is still useful for landscape change detection and this capabilit
Authors
Thomas R. Loveland, Mark A. Cochrane, Geoffrey M. Henebry
Humid tropical forest clearing from 2000 to 2005 quantified by using multitemporal and multiresolution remotely sensed data
Forest cover is an important input variable for assessing changes to carbon stocks, climate and hydrological systems, biodiversity richness, and other sustainability science disciplines. Despite incremental improvements in our ability to quantify rates of forest clearing, there is still no definitive understanding on global trends. Without timely and accurate forest monitoring methods, policy resp
Authors
Matthew C. Hansen, S.V. Stehman, Peter V. Potapov, Thomas R. Loveland, J.R.G. Townshend, R.S. DeFries, K.W. Pittman, B. Arunarwati, F. Stolle, M.K. Steininger, M. Carroll, C. DiMiceli
Combining MODIS and Landsat imagery to estimate and map boreal forest cover loss
Estimation of forest cover change is important for boreal forests, one of the most extensive forested biomes, due to its unique role in global timber stock, carbon sequestration and deposition, and high vulnerability to the effects of global climate change. We used time-series data from the MODerate Resolution Imaging Spectroradiometer (MODIS) to produce annual forest cover loss hotspot maps. Thes
Authors
P. Potapov, Matthew C. Hansen, S.V. Stehman, Thomas R. Loveland, K. Pittman
Integrating remotely sensed land cover observations and a biogeochemical model for estimating forest ecosystem carbon dynamics
Land cover change is one of the key driving forces for ecosystem carbon (C) dynamics. We present an approach for using sequential remotely sensed land cover observations and a biogeochemical model to estimate contemporary and future ecosystem carbon trends. We applied the General Ensemble Biogeochemical Modelling System (GEMS) for the Laurentian Plains and Hills ecoregion in the northeastern Unite
Authors
J. Liu, S. Liu, Thomas R. Loveland, L.L. Tieszen
Landsat continuity: Issues and opportunities for land cover monitoring
Initiated in 1972, the Landsat program has provided a continuous record of earth observation for 35 years. The assemblage of Landsat spatial, spectral, and temporal resolutions, over a reasonably sized image extent, results in imagery that can be processed to represent land cover over large areas with an amount of spatial detail that is absolutely unique and indispensable for monitoring, managemen
Authors
M.A. Wulder, Joanne C. White, S.N. Goward, J. G. Masek, J. R. Irons, M. Herold, W.B. Cohen, Thomas R. Loveland, C. E. Woodcock
The FORE-SCE model: a practical approach for projecting land cover change using scenario-based modeling
A wide variety of ecological applications require spatially explicit, historic, current, and projected land use and land cover data. The U.S. Land Cover Trends project is analyzing contemporary (1973–2000) land-cover change in the conterminous United States. The newly developed FORE-SCE model used Land Cover Trends data and theoretical, statistical, and deterministic modeling techniques to project
Authors
Terry L. Sohl, Kristi Sayler, Mark A. Drummond, Thomas R. Loveland