Characterizing and attributing the vegetation coverage changes in North Shanxi coal base of China from 1987 to 2020-Reference-Cited by-同舟云学术

Characterizing and attributing the vegetation coverage changes in North Shanxi coal base of China from 1987 to 2020

Published:2021-12 Issue: Volume:74 Page:102331
ISSN:0301-4207
Container-title:Resources Policy
language:en
Short-container-title:Resources Policy

Author:

Li Sijia,Wang Jinman,Zhang Min,Tang Qian

Funder

National Natural Science Foundation of China

Fundamental Research Funds for Central Universities of the Central South University

Publisher

Elsevier BV

Subject

Law,Management, Monitoring, Policy and Law,Economics and Econometrics,Sociology and Political Science

Reference72 articles.

1. Spatial-temporal evolution and prediction of vegetation cover in central part of Xilingol Grassland during 1977-2017;Ai;Bull. Soil Water Conserv.,2019

2. Monitoring land cover change and disturbance of the mount wutai world cultural landscape heritage protected area, based on remote sensing time-series images from 1987 to 2018;Bai;Rem. Sens.,2019

3. Potentials and limits of vegetation indices for LAI and APAR assessment;Baret;Rem. Sens. Environ.,1991

4. Changes in vegetation cover, moisture properties and surface temperature of a brown coal dump from 1984 to 2009 using satellite data analysis;Brom;Ecol. Eng.,2012

5. Effects of rapid urbanization on vegetation cover in the metropolises of China over the last four decades;Du;Ecol. Indicat.,2019

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