Remote sensing inversion and spatial variation of land surface temperature over mining areas of Jixi, Heilongjiang, China.

ABSTRACT:

Background

Jixi is a typical mining city in China that has undergone dramatic changes in its land-use pattern of mining areas over the development of its coal resources. The impacts of coal mining activities have greatly affected the regional land surface temperature and ecological system.

Methods

The Landsat 8 Operational Land Imager (OLI) data from 2015 and 2019 were used from the Jiguan, Didao, and Chengzihe District of Jixi in Heilongjiang, China as the study area. The calculations to determine the land-use classification, vegetation coverage, and land surface temperature (LST) were performed using ArcGIS10.5 and ENVI 5.3 software packages. A correlation analysis revealed the impact of land-use type, vegetation coverage, and coal mining activities on LSTs.

Results

SUBMITTER: Cao JS 

PROVIDER: S-EPMC7698694 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature