Remote Sensing Technology and Application

Analysis on Evolution of Ecological Vulnerability of Shanxi Province based on the Remote Sensing and GIS Technique

Huilin ZHANG, Weiguo WANG, Jian WANG, Xiaojiong ZHAO, Yanjun HOU, Yilan BO

Remote Sensing Technology and Application, 2024, 39(2): 478-491. DOI: 10.11873/j.issn.1004-0323.2024.2.0478

数据	时间分辨率	空间分辨率	数据来源
降水	逐月	1 km	国家地球系统科学数据中心
气温	逐月	1 km	国家青藏高原数据中心
潜在蒸散发	逐月	1 km	国家青藏高原数据中心
MCD12Q1	逐年	1 km	NASA
DEM	-	30 m	地理空间数据云平台
NDVI	8日	1 km	中国科学院资源环境科学与数据中心
人口密度	逐年	1 km
GDP	逐年	1 km

Table1 Basic information of data

Other figure/table from this article

Fig.1 Location of study area
Table 2 The ecological vulnerability evaluation index system in the Shanxi Province
Table3 The division rules of ecological vulnerability
Fig.2 Spatial-temporal distribution characteristics of ecological vulnerability in Shanxi Province
Fig. 3 Spatial distribution from changes of ecological vulnerability of Shanxi Province
Fig.4 Gravity center migration of ecological vulnerability on Shanxi province from 2000 to 2019
Fig.5 Percentage of ecological vulnerability under different ecological function areas
Fig.6 Percentage of ecological vulnerability under different land-use types
Table4 Parameter comparison of OLS and GWR model on different weight kernel function
Table5 Parameter details of GWR （AB） model
Fig.7 Spatial distribution of coefficients of GWR（AB） model
Fig.8 Ecological environment optimization of Shanxi Province
Fig.9 The distribution of R² and residual of GWR（AB） model