What is he best known for?
The fields of study he is best known for:
- Ecology
- Statistics
- Ecosystem
His primary areas of investigation include Remote sensing, Land cover, Satellite imagery, Subpixel rendering and Vegetation. The concepts of his Remote sensing study are interwoven with issues in Atmospheric correction, Plant cover and Reference data. His Land cover research incorporates elements of Cartography, Image resolution, Pixel, Statistics and Impervious surface.
His work in Satellite imagery tackles topics such as Time series which are related to areas like Logging, Canopy, Climate change and Woody plant. His Subpixel rendering study incorporates themes from Mean squared error, Lidar, Lidar data and Wetland. His work on Tree cover as part of general Vegetation study is frequently connected to Disturbance, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His most cited work include:
- Development of a 2001 National land-cover database for the United States (1311 citations)
- An assessment of support vector machines for land cover classification (1198 citations)
- An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks (593 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Remote sensing, Land cover, Vegetation, Disturbance and Physical geography. His work focuses on many connections between Remote sensing and other disciplines, such as Moderate-resolution imaging spectroradiometer, that overlap with his field of interest in Meteorology. The various areas that Chengquan Huang examines in his Land cover study include Image resolution, Change detection, Thematic Mapper and Scale.
His work investigates the relationship between Vegetation and topics such as Forestry that intersect with problems in Deforestation. The Physical geography study combines topics in areas such as Ecology, Biomass, Carbon cycle, Ecosystem and Forest dynamics. In his study, Forest management is inextricably linked to Climate change, which falls within the broad field of Ecosystem.
He most often published in these fields:
- Remote sensing (55.32%)
- Land cover (22.87%)
- Vegetation (20.74%)
What were the highlights of his more recent work (between 2016-2021)?
- Remote sensing (55.32%)
- Vegetation (20.74%)
- Physical geography (14.89%)
In recent papers he was focusing on the following fields of study:
Remote sensing, Vegetation, Physical geography, Satellite and Wetland are his primary areas of study. His Remote sensing research incorporates themes from Image resolution and Land cover. Chengquan Huang interconnects Image segmentation, Cross-validation, Sensor fusion and Scale in the investigation of issues within Land cover.
His Vegetation research is multidisciplinary, relying on both Ancillary data and Forest dynamics. His Physical geography research includes elements of Forest cover, Coastal plain, Ecosystem and Dry season. His research in Satellite tackles topics such as Remote sensing which are related to areas like Urban structure, Afforestation and Cartography.
Between 2016 and 2021, his most popular works were:
- Mapping forest change using stacked generalization: An ensemble approach (80 citations)
- Forest carbon emissions from cropland expansion in the Brazilian Cerrado biome (54 citations)
- Automated Extraction of Surface Water Extent from Sentinel-1 Data (53 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Statistics
- Ecosystem
Chengquan Huang mainly investigates Remote sensing, Vegetation, Image resolution, Synthetic aperture radar and Random forest. His Satellite imagery study, which is part of a larger body of work in Remote sensing, is frequently linked to Disturbance, bridging the gap between disciplines. The study incorporates disciplines such as Ancillary data, Forest dynamics and Biome in addition to Vegetation.
Chengquan Huang combines subjects such as Very high resolution and Physical geography with his study of Image resolution. His work deals with themes such as Altimeter, Nonparametric statistics, Statistical model and Change detection, which intersect with Random forest. As part of one scientific family, Chengquan Huang deals mainly with the area of Land cover, narrowing it down to issues related to the Impervious surface, and often Training set.
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