Research on Black Soil Spatiotemporal Changes in Hulin City Based on Sentinel -2 Remote Sensing Images

In order to find out the type, distribution range, quantity, quality and utilization of the surface substrate of the black soil in Hulin City, solve the problem of insufficient basic data of field investigation, and form a comprehensive index system suitable for the health status of the surface substrate of the black soil. In this paper, based on Sentinel-2 satellite remote sensing images, the black soil change detection in Hulin City was realized. Satellite remote sensing images in the same month of 2019 and 2024 were selected to classify land use based on the support vector machine method, and the dynamic trend of black soil land use in Hulin City in 5 years was discussed by combining the transfer matrix and spatial distribution. In 2019 and 2024, the classification accuracy is better than 90%, and the Kappa coefficient is above 86%. From 2019 to 2024, there will be both transfer in and out of black soil, among which there will be more mutual conversion between black soil and woodland, and the overall black soil area will increase. There are many black soil wetlands, and most of them are turned into black soil and woodland.