What is he best known for?
The fields of study he is best known for:
- Ecology
- Statistics
- Agriculture
His primary areas of study are Soil science, Hydrology, Soil water, Soil test and Soil salinity.
His research integrates issues of Covariate and Probability sampling in his study of Soil science.
His Hydrology research includes elements of Soil conservation, Remnant vegetation, Grazing and Digital soil mapping.
His work on Soil pH is typically connected to Environmental pollution as part of general Soil water study, connecting several disciplines of science.
Zhou Shi interconnects In situ, Organic matter, Partial least squares regression and Total organic carbon in the investigation of issues within Soil test.
His Soil salinity research includes elements of Soil map, Land reclamation and Topsoil.
His most cited work include:
- A global spectral library to characterize the world’s soil (280 citations)
- Delineation of site-specific management zones using fuzzy clustering analysis in a coastal saline land (142 citations)
- Development of a national VNIR soil-spectral library for soil classification and prediction of organic matter concentrations (81 citations)
What are the main themes of his work throughout his whole career to date?
Zhou Shi mainly focuses on Soil science, Soil water, Remote sensing, Soil salinity and Hydrology.
His Soil science study frequently links to adjacent areas such as Spatial variability.
His study in Soil water is interdisciplinary in nature, drawing from both Contamination, Pollution and Environmental health.
His biological study spans a wide range of topics, including Spectrometer, Canopy, Land use and Yield.
While the research belongs to areas of Soil salinity, Zhou Shi spends his time largely on the problem of Land reclamation, intersecting his research to questions surrounding Agricultural land.
His work on Erosion as part of general Hydrology research is often related to Silt, thus linking different fields of science.
He most often published in these fields:
- Soil science (30.90%)
- Soil water (23.60%)
- Remote sensing (17.98%)
What were the highlights of his more recent work (between 2018-2021)?
- Soil water (23.60%)
- Soil science (30.90%)
- Pollution (10.67%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Soil water, Soil science, Pollution, Soil carbon and Digital soil mapping.
His Soil water study combines topics from a wide range of disciplines, such as Agriculture, Contamination, Abundance and Environmental health.
His Soil science research incorporates elements of Partial least squares regression, Sensor fusion and Scale.
His work deals with themes such as In situ and Land use, land-use change and forestry, Land use, which intersect with Soil carbon.
His research in Digital soil mapping intersects with topics in Soil type, Spatial variability, Physical geography, Vegetation and Soil salinity.
His studies deal with areas such as Remote sensing and Remote sensing as well as Soil salinity.
Between 2018 and 2021, his most popular works were:
- Estimating soil salinity from remote sensing and terrain data in southern Xinjiang Province, China (51 citations)
- Land use and climate change effects on soil organic carbon in North and Northeast China. (33 citations)
- Land use and climate change effects on soil organic carbon in North and Northeast China. (33 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Statistics
- Agriculture
His scientific interests lie mostly in Soil water, Soil science, Hydrology, Digital soil mapping and Soil salinity.
His Soil water research focuses on Pollution and how it connects with Environmental health.
His Soil science study combines topics in areas such as Partial least squares regression, Sensor fusion and Scale.
His studies in Hydrology integrate themes in fields like Yangtze river, Regression and Topsoil.
His Digital soil mapping research is multidisciplinary, relying on both Soil carbon and Spatial variability.
His Soil salinity research is multidisciplinary, incorporating perspectives in Soil acidification, Soil pH, Soil type, Alkali soil and Environmental remediation.
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.
