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Guiying Li
Researcher at Fujian Normal University
Publications - 43
Citations - 2754
Guiying Li is an academic researcher from Fujian Normal University. The author has contributed to research in topics: Thematic Mapper & Land cover. The author has an hindex of 24, co-authored 43 publications receiving 2179 citations. Previous affiliations of Guiying Li include Zhejiang University & Michigan State University.
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A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems
TL;DR: A survey of current biomass estimation methods using remote sensing data and discusses four critical issues – collection of field-based biomass reference data, extraction and selection of suitable variables fromRemote sensing data, identification of proper algorithms to develop biomass estimation models, and uncertainty analysis to refine the estimation procedure.
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Mapping soil erosion risk in Rondônia, Brazilian Amazonia: using RUSLE, remote sensing and GIS
TL;DR: In this paper, the authors applied the Revised Universal Soil Loss Equation (RUSLE), remote sensing, and geographical information system (GIS) to the maping of soil erosion risk in Brazilian Amazonia.
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Measuring the quality of life in city of Indianapolis by integration of remote sensing and census data
Guiying Li,Qihao Weng +1 more
TL;DR: In this article, the authors developed a methodology for integration of remote sensing and census data within a GIS framework to assess the quality of life in Indianapolis, Indiana, United States.
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Current situation and needs of change detection techniques
TL;DR: The major steps involved in a change detection are overviewed, a summary of major change detection methods is summarised, the impacts of scales and complexity of study areas on the selection of remote-sensing data and change detection algorithms are discussed and the needs of developing newchange detection methods are discussed.
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Residential population estimation using a remote sensing derived impervious surface approach
TL;DR: In this article, the authors explored residential population estimation based on impervious surface coverage in Marion County, Indiana, USA, using spectral unmixing of a Landsat Enhanced Thematic Mapper (ETM+) multispectral image.