249 / 2023-09-29 23:54:59

Mining surface collapse information extraction based on multi-source remote sensing Spatiotemporal evolution: a case study of Zhaogu mining area

Zhaogu mining area; Surface collapse; Multi-source remote sensing; D-InSAR; Collapse area management

Surface subsidence reduces the efficiency of land use, affects the production and living conditions of neighboring residents, and brings a series of environmental and ecological problems.Accurately extracting the extent and depth of coal mine surface collapse and categorizing the land use information within the collapse area are conducive to the development of a suitable remediation model for coal mine subsidence areas. In this paper, the Zhaogu mining area in Huixian City, Henan Province, is taken as the study area, and multi-source remote sensing (Sentinel-2, GF-1) is used as the data source, and Differential Interferometric Synthetic Aperture Radar (D-InSAR) is used to extract the extent of the subsidence area in the study area, and to classify the land use information in the subsidence area by constructing spectral-spatial residual information. extracted, and the land use information of 2017-2021 within the collapse area of Zhaogu mine was classified by constructing Spectral-Spatial Residual Network (SSRN).Finally, a fuzzy comprehensive evaluation model based on the improved G1 method was established to quantitatively evaluate the degree of land destruction within the collapse zone. The results show that from 2017 to 2021, the area of the collapse zone in the study area is 1880.99hm², and the depth of collapse is in the range of 0-417.77cm; the land use type in the collapse zone is dominated by cropland, construction land, and waters;Within five years, the area of arable land within the collapse area showed a decreasing trend, the area of construction land showed a decreasing trend year by year, the area of forest land was relatively stable, the area of water area showed a fluctuating trend of change, and the area of unutilized land increased; the area of land within the collapse area with mild destruction was 437.67hm², accounting for 23.27% of the area of the collapse area, and the area with moderate destruction was 599.85hm², accounting for 31.89% of the area of the collapse area. Heavily damaged area is 6