Detection of Black Soil Change in the Jiguan District Based on Sentinel-2 Satellite Remote Sensing Images

In this paper, the sentinel-2 satellite remote sensing images are mainly used to detect the changes of black soil in Jiguan District, Jixi City. Satellite remote sensing images in the same month of 2021 and 2024 were selected to complete the land use classification based on the maximum likelihood method, and the dynamic change trend of black soil land use in the study area in the past four years was discussed by combining the transfer matrix and spatial distribution. The experimental results show that the overall classification accuracy of time series images is better than 99%, and the Kappa coefficient is more than 98%. From 2021 to 2024, the area of black soil meadow will decrease significantly. There are transfers of black soil and transfer-out, among them, the transfer is manifested as the conversion of black soil woodland to black soil and the conversion of black soil meadow to black soil, and most of the transfer-out is black soil to black soil woodland, and the overall transfer out is greater than the transfer-in.