A knowledge-based approach to mapping degraded meadows on the Qinghai–Tibet Plateau, China
Author:
Affiliation:
1. School of Environment, University of Auckland, Auckland, New Zealand
2. State Key Laboratory of Plateau Ecology and Agriculture, College of Agriculture and Animal Husbandry, Qinghai University, Xining, China
Funder
Ministry of Education - Singapore
Ministry of Science and Technology of the People’s Republic of China
Qinghai Science and Technology Department
International Science & Technology Cooperation Program of China
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2017.1348642
Reference27 articles.
1. “Black Soil Land” recognition at Maduo County in source region of Yellow River based on quantitative remote sensing
2. Fusion of Quickbird MS and RADARSAT SAR data for urban land-cover mapping: object-based and knowledge-based approach
3. Analysis of convergent evidence in an evidential reasoning knowledge-based classification
4. Knowledge-based land-cover classification using ERS-1/JERS-1 SAR composites
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4. Using Landsat observations (1988–2017) and Google Earth Engine to detect vegetation cover changes in rangelands - A first step towards identifying degraded lands for conservation;Remote Sensing of Environment;2019-10
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