D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Environmental Sciences D-index 67 Citations 27,804 173 World Ranking 872 National Ranking 409

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Ecology
  • Agriculture

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 most cited work include:

  • High-Resolution Global Maps of 21st-Century Forest Cover Change (4897 citations)
  • Good practices for estimating area and assessing accuracy of land change (957 citations)
  • Selecting and interpreting measures of thematic classification accuracy (886 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Land cover (30.12%)
  • Remote sensing (30.12%)
  • Sampling (24.10%)

What were the highlights of his more recent work (between 2017-2021)?

  • Land cover (30.12%)
  • Remote sensing (30.12%)
  • Land use (10.84%)

In recent papers he was focusing on the following fields of study:

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.

Between 2017 and 2021, his most popular works were:

  • Global land change from 1982 to 2016. (424 citations)
  • Mapping forest change using stacked generalization: An ensemble approach (80 citations)
  • Key issues in rigorous accuracy assessment of land cover products (77 citations)

In his most recent research, the most cited papers focused on:

  • Ecology
  • Statistics
  • Agriculture

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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

High-Resolution Global Maps of 21st-Century Forest Cover Change

M.C. Hansen;P.V. Potapov;R. Moore;M. Hancher.
Science (2013)

8702 Citations

Selecting and interpreting measures of thematic classification accuracy

Stephen V. Stehman.
Remote Sensing of Environment (1997)

1747 Citations

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)

1732 Citations

Global land change from 1982 to 2016.

Xiao Peng Song;Matthew C. Hansen;Stephen V. Stehman;Peter V. Potapov.
Nature (2018)

1043 Citations

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)

945 Citations

Design and Analysis for Thematic Map Accuracy Assessment: Fundamental Principles

Stephen V. Stehman;Raymond L. Czaplewski.
Remote Sensing of Environment (1998)

940 Citations

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)

796 Citations

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)

796 Citations

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)

427 Citations

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)

361 Citations

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