What is he best known for?
The fields of study he is best known for:
- Statistics
- Remote sensing
- Climate change
His primary areas of investigation include Remote sensing, Algorithm, Shadow, Land cover and Change detection.
His Remote sensing research is multidisciplinary, relying on both Snow, Meteorology, Climatology and Growing season.
The various areas that Zhe Zhu examines in his Algorithm study include Univariate, Cirrus and Data mining.
His Cirrus study incorporates themes from Cloud cover, Thematic Mapper and Leverage.
His Land cover research focuses on subjects like Spectral bands, which are linked to Satellite imagery and Remote sensing.
His Change detection research integrates issues from Mean squared error and Time series.
His most cited work include:
- Object-based cloud and cloud shadow detection in Landsat imagery (1063 citations)
- Landsat-8: Science and Product Vision for Terrestrial Global Change Research (1061 citations)
- Improvement and expansion of the Fmask algorithm: cloud, cloud shadow, and snow detection for Landsats 4–7, 8, and Sentinel 2 images (577 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Remote sensing, Land cover, Change detection, Disturbance and Remote sensing.
His Remote sensing study combines topics in areas such as Snow and Vegetation.
His Snow research includes elements of Cirrus and Satellite imagery.
In his study, which falls under the umbrella issue of Land cover, Terrain is strongly linked to Hydrology.
His Change detection study combines topics from a wide range of disciplines, such as Thematic map, Data mining, Outlier and Time series.
His work deals with themes such as Algorithm and Range, which intersect with Spectral bands.
He most often published in these fields:
- Remote sensing (100.00%)
- Land cover (46.97%)
- Change detection (30.30%)
What were the highlights of his more recent work (between 2019-2021)?
- Remote sensing (100.00%)
- Disturbance (25.76%)
- Change detection (30.30%)
In recent papers he was focusing on the following fields of study:
His main research concerns Remote sensing, Disturbance, Change detection, Continuous monitoring and Series.
His Remote sensing study integrates concerns from other disciplines, such as Representativeness heuristic and Scale.
His studies deal with areas such as Land cover, Specific-information and Time series as well as Change detection.
Land cover is a subfield of Land use that he tackles.
His Time series research is multidisciplinary, incorporating perspectives in Impervious surface, Anomaly, Outlier and Subpixel rendering.
His Spectral bands research incorporates elements of Cirrus and Water vapor.
Between 2019 and 2021, his most popular works were:
- Continuous monitoring of land disturbance based on Landsat time series (37 citations)
- Continuous monitoring of land disturbance based on Landsat time series (37 citations)
- Continuous subpixel monitoring of urban impervious surface using Landsat time series (32 citations)
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