Fractional monitoring of desert vegetation degradation, recovery, and greening using optimized multi-endmembers spectral mixture analysis in a dryland basin of Northwest China-Reference-Cited by-同舟云学术

Fractional monitoring of desert vegetation degradation, recovery, and greening using optimized multi-endmembers spectral mixture analysis in a dryland basin of Northwest China

Published:2021-02-09 Issue:2 Volume:58 Page:300-321
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Chen Yaoliang¹²,Huang Xiaotao³,Huang Jingfeng⁴,Liu Shanshan¹²,Lu Dengsheng¹²^ORCID,Zhao Shuai¹²

Affiliation:

1. Key Laboratory for Humid Subtropical Eco-geographical Processes of the Ministry of Education, Fujian Normal University, Fuzhou, Fujian, China

2. School of Geographical Sciences, Fujian Normal University, Fuzhou, China

3. Key Laboratory of Restoration Ecology for Cold Regions in Qinghai, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai, China

4. Institute of Applied Remote Sensing & Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2021.1883940

Reference103 articles.

1. Classification of multispectral images based on fractions of endmembers: Application to land-cover change in the Brazilian Amazon

2. Spatial Monitoring of Desertification Extent in Western Iraq using Landsat Images and GIS

3. Analysis of Sahelian vegetation dynamics using NOAA-AVHRR NDVI data from 1981–2003