Detection and impact analysis of land surface temperature abrupt change in Shendong mining area based on BFAST algorithm

• Published in: 河南理工大学学报. 自然科学版 Vol. 40; no. 6; p. 92
• Main Authors: Li, Yuanyuan, Wang, Cangjiao, Lei, Shaogang, Guo, Yangnan
• Format: Journal Article
• Language: Chinese
• Published: Jiaozuo Henan Polytechnic University 01-01-2021
• Subjects: Algorithms; Ecological effects; Environmental management; Impact analysis; Land cover; Land surface temperature; Open pit mining; Regression analysis; Spatial distribution; Temperature; Underground mining
• ISSN: 1673-9787

In order to obtain the long-term change trend of the surface temperature in the Shendong mining area, and to extract the characteristics of abrupt changes in the surface temperature, MOD11 A2 synthesized by 16-day maximum temperature from 2000 to 2018 was used as the data source to perform regression analysis and to fit the changing trend of time series of land surface temperature in Shendong mining area.The BFAST algorithm(breaks for additive seasonal and trend)was used to extract the temporal and spatial distribution characteristics of land surface temperature abrupt change, the maximum abrupt occurrence time, and the abrupt magnitude.On this basis, the relationship between abrupt change of land surface temperature and land cover change was analyzed by means of spatial superposition statistics.The results showed that: From 2000 to 2018,due to the increase in overall vegetation coverage in the Shendong mining area, 98.63% of land surface temperature in the mining area showed a downward trend; The land surfac