Thomas Loveland (Former Employee)
Science and Products
Filter Total Items: 143
Drought and land-cover conditions in the Great Plains Drought and land-cover conditions in the Great Plains
Land–atmosphere interactions play a critical role in the Earth system, and a better understanding of these interactions could improve weather and climate models. The interaction among drought, vegetation productivity, and land cover is of particular significance. In a semiarid environment, such as the U.S. Great Plains, droughts can have a large influence on the productivity of...
Authors
Heather J. Tollerud, Jesslyn F. Brown, Thomas Loveland, Rezaul Mahmood, Norman B. Bliss
Effects of contemporary land-use and land-cover change on the carbon balance of terrestrial ecosystems in the United States Effects of contemporary land-use and land-cover change on the carbon balance of terrestrial ecosystems in the United States
Changes in land use and land cover (LULC) can have profound effects on terrestrial carbon dynamics, yet their effects on the global carbon budget remain uncertain. While land change impacts on ecosystem carbon dynamics have been the focus of numerous studies, few efforts have been based on observational data incorporating multiple ecosystem types spanning large geographic areas over long...
Authors
Benjamin M. Sleeter, Jinxun Liu, Colin Daniel, Bronwyn Rayfield, Jason T. Sherba, Todd Hawbaker, Zhiliang Zhu, Paul Selmants, Thomas R. Loveland
2017 Landsat Science Team Summer Meeting Summary 2017 Landsat Science Team Summer Meeting Summary
The summer meeting of the U.S. Geological Survey (USGS)-NASA Landsat Science Team (LST) was held June 11-13, 2017, at the USGS’s Earth Resources Observation and Science (EROS) Center near Sioux Falls, SD. This was the final meeting of the Second (2012-2017) LST.1 Frank Kelly [EROS—Center Director] welcomed the attendees and expressed his thanks to the LST members for their contributions...
Authors
Christopher J. Crawford, Thomas R. Loveland, Michael A. Wulder, James R. Irons
Mapping forest change using stacked generalization: An ensemble approach Mapping forest change using stacked generalization: An ensemble approach
The ever-increasing volume and accessibility of remote sensing data has spawned many alternative approaches for mapping important environmental features and processes. For example, there are several viable but highly varied strategies for using time series of Landsat imagery to detect changes in forest cover. Performance among algorithms varies across complex natural systems, and it is...
Authors
Sean P. Healey, Warren B. Cohen, Zhiqiang Yang, C. Kenneth Brewer, Evan B. Brooks, Noel Gorelick, Alexander J. Hernandez, Chengquan Huang, M. Joseph Hughes, Robert E. Kennedy, Thomas Loveland, Gretchen G. Moisen, Todd A. Schroeder, Stephen V. Stehman, James Vogelmann, Curtis E. Woodcock, Limin Yang, Zhe Zhu
Land cover and land use change Land cover and land use change
Climate can affect and be affected by changes in land cover (the physical features that cover the land such as trees or pavement) and land use (human management and activities on land, such as mining or recreation). A forest, for instance, would likely include tree cover but could also include areas of recent tree removals currently covered by open grass areas. Land cover and use are...
Authors
Benjamin M. Sleeter, Thomas Loveland, Grant Domke, Nate Herold, James Wickham, Nathan J. Wood
How similar are forest disturbance maps derived from different Landsat time series algorithms? How similar are forest disturbance maps derived from different Landsat time series algorithms?
Disturbance is a critical ecological process in forested systems, and disturbance maps are important for understanding forest dynamics. Landsat data are a key remote sensing dataset for monitoring forest disturbance and there recently has been major growth in the development of disturbance mapping algorithms. Many of these algorithms take advantage of the high temporal data volume to...
Authors
Warren B. Cohen, Sean P. Healey, Zhiqiang Yang, Stephen V. Stehman, C. Kenneth Brewer, Evan B. Brooks, Noel Gorelick, Chengquan Huang, M. Joseph Hughes, Robert E. Kennedy, Thomas Loveland, Gretchen G. Moisen, Todd A. Schroeder, James Vogelmann, Curtis E. Woodcock, Limin Yang, Zhe Zhu
Science and Products
Filter Total Items: 143
Drought and land-cover conditions in the Great Plains Drought and land-cover conditions in the Great Plains
Land–atmosphere interactions play a critical role in the Earth system, and a better understanding of these interactions could improve weather and climate models. The interaction among drought, vegetation productivity, and land cover is of particular significance. In a semiarid environment, such as the U.S. Great Plains, droughts can have a large influence on the productivity of...
Authors
Heather J. Tollerud, Jesslyn F. Brown, Thomas Loveland, Rezaul Mahmood, Norman B. Bliss
Effects of contemporary land-use and land-cover change on the carbon balance of terrestrial ecosystems in the United States Effects of contemporary land-use and land-cover change on the carbon balance of terrestrial ecosystems in the United States
Changes in land use and land cover (LULC) can have profound effects on terrestrial carbon dynamics, yet their effects on the global carbon budget remain uncertain. While land change impacts on ecosystem carbon dynamics have been the focus of numerous studies, few efforts have been based on observational data incorporating multiple ecosystem types spanning large geographic areas over long...
Authors
Benjamin M. Sleeter, Jinxun Liu, Colin Daniel, Bronwyn Rayfield, Jason T. Sherba, Todd Hawbaker, Zhiliang Zhu, Paul Selmants, Thomas R. Loveland
2017 Landsat Science Team Summer Meeting Summary 2017 Landsat Science Team Summer Meeting Summary
The summer meeting of the U.S. Geological Survey (USGS)-NASA Landsat Science Team (LST) was held June 11-13, 2017, at the USGS’s Earth Resources Observation and Science (EROS) Center near Sioux Falls, SD. This was the final meeting of the Second (2012-2017) LST.1 Frank Kelly [EROS—Center Director] welcomed the attendees and expressed his thanks to the LST members for their contributions...
Authors
Christopher J. Crawford, Thomas R. Loveland, Michael A. Wulder, James R. Irons
Mapping forest change using stacked generalization: An ensemble approach Mapping forest change using stacked generalization: An ensemble approach
The ever-increasing volume and accessibility of remote sensing data has spawned many alternative approaches for mapping important environmental features and processes. For example, there are several viable but highly varied strategies for using time series of Landsat imagery to detect changes in forest cover. Performance among algorithms varies across complex natural systems, and it is...
Authors
Sean P. Healey, Warren B. Cohen, Zhiqiang Yang, C. Kenneth Brewer, Evan B. Brooks, Noel Gorelick, Alexander J. Hernandez, Chengquan Huang, M. Joseph Hughes, Robert E. Kennedy, Thomas Loveland, Gretchen G. Moisen, Todd A. Schroeder, Stephen V. Stehman, James Vogelmann, Curtis E. Woodcock, Limin Yang, Zhe Zhu
Land cover and land use change Land cover and land use change
Climate can affect and be affected by changes in land cover (the physical features that cover the land such as trees or pavement) and land use (human management and activities on land, such as mining or recreation). A forest, for instance, would likely include tree cover but could also include areas of recent tree removals currently covered by open grass areas. Land cover and use are...
Authors
Benjamin M. Sleeter, Thomas Loveland, Grant Domke, Nate Herold, James Wickham, Nathan J. Wood
How similar are forest disturbance maps derived from different Landsat time series algorithms? How similar are forest disturbance maps derived from different Landsat time series algorithms?
Disturbance is a critical ecological process in forested systems, and disturbance maps are important for understanding forest dynamics. Landsat data are a key remote sensing dataset for monitoring forest disturbance and there recently has been major growth in the development of disturbance mapping algorithms. Many of these algorithms take advantage of the high temporal data volume to...
Authors
Warren B. Cohen, Sean P. Healey, Zhiqiang Yang, Stephen V. Stehman, C. Kenneth Brewer, Evan B. Brooks, Noel Gorelick, Chengquan Huang, M. Joseph Hughes, Robert E. Kennedy, Thomas Loveland, Gretchen G. Moisen, Todd A. Schroeder, James Vogelmann, Curtis E. Woodcock, Limin Yang, Zhe Zhu