His primary areas of investigation include Remote sensing, Land cover, Thematic map, Sampling and Physical geography. His Thematic map research is multidisciplinary, incorporating perspectives in Pixel and Preference. His work on Sampling design is typically connected to Variance as part of general Sampling study, connecting several disciplines of science.
His Physical geography research integrates issues from Ecology, Climate change, Temperate climate, Deforestation and Biome. Stephen V. Stehman interconnects Biodiversity and Taiga in the investigation of issues within Deforestation. The study incorporates disciplines such as Subtropics, Forest ecology, Square and Tropics in addition to Taiga.
His main research concerns Land cover, Remote sensing, Sampling, Statistics and Sampling design. His Land cover research incorporates elements of Cartography, Thematic map, Thematic Mapper and Satellite imagery. Stephen V. Stehman has included themes like Hydrology, Pixel and Scale in his Remote sensing study.
His work investigates the relationship between Sampling and topics such as Sample that intersect with problems in Data mining. His Sampling design study incorporates themes from Operations research, Stratified sampling, Cluster sampling and Systematic sampling. His Deforestation research incorporates themes from Forestry and Physical geography.
His primary areas of study are Land cover, Remote sensing, Land use, Forestry and Hydrology. The Land cover study combines topics in areas such as Statistics, Thematic Mapper, Environmental resource management and Thematic map. The concepts of his Statistics study are interwoven with issues in Forest inventory and Satellite imagery.
His Remote sensing research is multidisciplinary, incorporating elements of Sampling, Sampling design, Standard error and Reference data. His study in Sampling design is interdisciplinary in nature, drawing from both Salient, Data mining, Information retrieval and Reliability. His studies deal with areas such as Deforestation, Agroforestry, Climate change and Tree cover as well as Land use.
Stephen V. Stehman focuses on Land cover, Remote sensing, Land use, Standard error and Estimator. Stephen V. Stehman has researched Land cover in several fields, including Reforestation, Temperate climate, Biogeochemical cycle, Physical geography and Earth system science. His Remote sensing research includes themes of Sampling, Reference data and Hydrology.
His Sampling research is mostly focused on the topic Sampling design. His biological study spans a wide range of topics, including Forest inventory, Stratified sampling, Satellite imagery and Plot. To a larger extent, Stephen V. Stehman studies Statistics with the aim of understanding Estimator.
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High-Resolution Global Maps of 21st-Century Forest Cover Change
M.C. Hansen;P.V. Potapov;R. Moore;M. Hancher.
Selecting and interpreting measures of thematic classification accuracy
Stephen V. Stehman.
Remote Sensing of Environment (1997)
Good practices for estimating area and assessing accuracy of land change
Pontus Olofsson;Giles M. Foody;Martin Herold;Stephen V. Stehman.
Remote Sensing of Environment (2014)
Global land change from 1982 to 2016.
Xiao Peng Song;Matthew C. Hansen;Stephen V. Stehman;Peter V. Potapov.
Quantification of global gross forest cover loss
Matthew C. Hansen;Stephen V. Stehman;Peter V. Potapov.
Proceedings of the National Academy of Sciences of the United States of America (2010)
Design and Analysis for Thematic Map Accuracy Assessment: Fundamental Principles
Stephen V. Stehman;Raymond L. Czaplewski.
Remote Sensing of Environment (1998)
Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation
Pontus Olofsson;Giles M. Foody;Stephen V. Stehman;Curtis E. Woodcock.
Remote Sensing of Environment (2013)
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)
A meta-analysis of remote sensing research on supervised pixel-based land-cover image classification processes: General guidelines for practitioners and future research
Reza Khatami;Giorgos Mountrakis;Stephen V. Stehman.
Remote Sensing of Environment (2016)
Accuracy assessment of NLCD 2006 land cover and impervious surface
James D. Wickham;Stephen V. Stehman;Leila Gass;Jon Dewitz.
Remote Sensing of Environment (2013)
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