His primary areas of study are Land cover, Remote sensing, Satellite imagery, Deforestation and Remote sensing. His Land cover study is concerned with the field of Land use as a whole. His Remote sensing research includes themes of Plant cover, Earth observation and Data processing.
The various areas that he examines in his Satellite imagery study include Mangrove, IUCN Red List, Blue carbon and Thematic map. His Forest transition study in the realm of Deforestation interacts with subjects such as Humid subtropical climate. His work is dedicated to discovering how Forest transition, Subtropics are connected with Physical geography and other disciplines.
Thomas R. Loveland mainly focuses on Land cover, Remote sensing, Land use, Environmental resource management and Physical geography. Thomas R. Loveland conducts interdisciplinary study in the fields of Land cover and Geological survey through his research. His work deals with themes such as Earth observation and Normalized Difference Vegetation Index, which intersect with Remote sensing.
His Land use research includes elements of Agriculture, Urbanization, Change detection and Ecoregion. His studies deal with areas such as Landscape ecology, Ecosystem, Global change and Sustainable development as well as Environmental resource management. His research integrates issues of Cartography and Advanced very-high-resolution radiometer in his study of Ancillary data.
Thomas R. Loveland focuses on Land cover, Remote sensing, Environmental resource management, Land use and Change detection. In his research, Thomas R. Loveland performs multidisciplinary study on Land cover and Advanced land observation satellite. His work on Remote sensing and Satellite imagery is typically connected to Geological survey as part of general Remote sensing study, connecting several disciplines of science.
His biological study spans a wide range of topics, including Weather and climate, Meteorology and Biogeochemical cycle. His study in Land use is interdisciplinary in nature, drawing from both Dynamic global vegetation model, Primary production, Ecosystem respiration, Carbon sequestration and Ecosystem model. His Change detection research focuses on subjects like Data mining, which are linked to Parametric statistics, Outlier, Digital elevation model and Thematic map.
His main research concerns Remote sensing, Change detection, Data mining, Pixel and Land cover. His Remote sensing study integrates concerns from other disciplines, such as Ground station and Stratified sampling. His Change detection study combines topics from a wide range of disciplines, such as Temporal database, Parametric statistics and Range.
He regularly links together related areas like Parametric model in his Data mining studies. His study of Pixel brings together topics like Projection, Outlier, Digital elevation model, Thematic map and Series. Thomas R. Loveland has included themes like Climate change mitigation and Earth observation in his Land cover study.
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High-Resolution Global Maps of 21st-Century Forest Cover Change
M.C. Hansen;P.V. Potapov;R. Moore;M. Hancher.
DEVELOPMENT OF A GLOBAL LAND COVER CHARACTERISTICS DATABASE AND IGBP DISCOVER FROM 1 KM AVHRR DATA
Thomas R. Loveland;B.C. Reed;Jesslyn F. Brown;D.O. Ohlen.
International Journal of Remote Sensing (2000)
Status and distribution of mangrove forests of the world using earth observation satellite data
Chandra Giri;E. Ochieng;Larry L. Tieszen;Zhi-Liang Zhu.
Global Ecology and Biogeography (2011)
Landsat-8: Science and Product Vision for Terrestrial Global Change Research
David P. Roy;M.A. Wulder;Thomas R. Loveland;C.E. Woodcock.
Remote Sensing of Environment (2014)
Measuring phenological variability from satellite imagery
Bradley C. Reed;Jesslyn F. Brown;Darrel VanderZee;Thomas R. Loveland.
Journal of Vegetation Science (1994)
Opening the archive: How free data has enabled the science and monitoring promise of Landsat
Michael A. Wulder;Jeffrey G. Masek;Warren B. Cohen;Thomas R. Loveland.
Remote Sensing of Environment (2012)
A review of large area monitoring of land cover change using Landsat data
Matthew C. Hansen;Thomas R. Loveland.
Remote Sensing of Environment (2012)
Rural land-use trends in the conterminous United States, 1950-2000
Daniel G. Brown;S Kenneth M. Johnson;Thomas R. Loveland;David M. Theobald.
Ecological Applications (2005)
Development of a land-cover characteristics database for the conterminous U.S.
Thomas R. Loveland;J.W. Merchant;D.O. Ohlen;Jesslyn F. Brown.
Photogrammetric Engineering and Remote Sensing (1991)
Humid tropical forest clearing from 2000 to 2005 quantified by using multitemporal and multiresolution remotely sensed data
Matthew C. Hansen;Stephen V. Stehman;Peter V. Potapov;Thomas R. Loveland.
Proceedings of the National Academy of Sciences of the United States of America (2008)
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