
Eco-Environmental Effects of Industrial Cities Based on Remote Sensing Images: A Case Study of Shenyang, China
Author(s) -
Yu Tang,
Tiejun Shi,
Fusheng Ma
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/719/4/042064
Subject(s) - normalized difference vegetation index , remote sensing , china , environmental science , physical geography , geography , vegetation (pathology) , diversity index , land use , scale (ratio) , vegetation index , urban ecosystem , urban planning , cartography , ecology , climate change , biology , medicine , archaeology , pathology , species richness
With Landsat remote sensing image and GIS spatial analysis method, the ecological environment of the built-up urban area in the third ring of Shenyang was studied, which was an industrial city. The LST and NDVI were extracted to analyze the urban spatial patterns and the relationship with urban land use types. The results showed that LST and NDVI were negatively correlated in urban ecosystem. The urban surface temperature and vegetation index of different land use types were significantly different. On the scale of 1 km, LST was weakly positively correlated with SHDI, while NDVI was negatively correlated with SHDI; LST increased with the increase of land use type diversity, while NDVI decreased with the increase of land use type diversity.