What is he best known for?
The fields of study he is best known for:
- Statistics
- Biodiversity
- Agriculture
Deforestation, Agroforestry, Physical geography, Biodiversity and Clearing are his primary areas of study. His Deforestation study combines topics in areas such as Old-growth forest, Tropics, Forest ecology, Biome and Taiga. His biological study spans a wide range of topics, including Natural resource economics and Climate change.
The various areas that Peter Potapov examines in his Taiga study include Subtropics, Secondary forest and Forest transition. His Agroforestry research incorporates elements of Intact forest landscape, Wilderness, Logging and Ecosystem services. Peter Potapov has researched Physical geography in several fields, including Temperate climate, Decision tree learning, Land cover, Moderate-resolution imaging spectroradiometer and Remote sensing.
His most cited work include:
- High-Resolution Global Maps of 21st-Century Forest Cover Change (4897 citations)
- Quantification of global gross forest cover loss (586 citations)
- Natural climate solutions (572 citations)
What are the main themes of his work throughout his whole career to date?
Peter Potapov mainly focuses on Remote sensing, Agroforestry, Forestry, Deforestation and Land cover. His research integrates issues of Sample, Scale and Moderate-resolution imaging spectroradiometer in his study of Remote sensing. His studies in Agroforestry integrate themes in fields like Habitat, Logging, Land use and Ecosystem services.
While the research belongs to areas of Forestry, Peter Potapov spends his time largely on the problem of Forest cover, intersecting his research to questions surrounding Hydrology. His Deforestation research integrates issues from Climate change, Tropics, Physical geography, Greenhouse gas and Biome. As part of the same scientific family, Peter Potapov usually focuses on Biome, concentrating on Taiga and intersecting with Boreal.
He most often published in these fields:
- Remote sensing (24.48%)
- Agroforestry (19.58%)
- Forestry (17.48%)
What were the highlights of his more recent work (between 2017-2021)?
- Remote sensing (24.48%)
- Land cover (16.08%)
- Agroforestry (19.58%)
In recent papers he was focusing on the following fields of study:
Peter Potapov mostly deals with Remote sensing, Land cover, Agroforestry, Land use, land-use change and forestry and Land use. His Remote sensing study combines topics from a wide range of disciplines, such as Estimator, Standard error, Vegetation and Scale. His Agroforestry research incorporates themes from Indigenous, Habitat and Ecosystem services.
His studies deal with areas such as Old-growth forest, Pasture, Amazon rainforest, Physical geography and Tree cover as well as Land use. In his work, Logging is strongly intertwined with Slash-and-burn, which is a subfield of Forest ecology. His Reforestation research is multidisciplinary, incorporating elements of Deforestation and Economic geography.
Between 2017 and 2021, his most popular works were:
- Global land change from 1982 to 2016. (424 citations)
- The exceptional value of intact forest ecosystems (271 citations)
- Near doubling of Brazil’s intensive row crop area since 2000 (56 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Biodiversity
- Agriculture
Peter Potapov spends much of his time researching Old-growth forest, Land use, Land cover, Agroforestry and Land use, land-use change and forestry. Land use connects with themes related to Physical geography in his study. He focuses mostly in the field of Land cover, narrowing it down to matters related to Remote sensing and, in some cases, Data processing and Time series.
His Agroforestry research includes themes of Biodiversity and Amazon rainforest. His Land use, land-use change and forestry research integrates issues from Carbon sequestration, Atmospheric carbon cycle, Deforestation and Environmental protection. His Deforestation research incorporates elements of Reforestation, Canopy, Carbon accounting, Greenhouse gas and Vegetation.
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