Lidong Date

Published: 3 January 2025| Version 1 | DOI: 10.17632/b5prd4gn2y.1
Contributor:
Lidong Pan

Description

The data used included DEM, land-use data, soil data, and meteorological data. Based on seven periods of Landsat series remote sensing images from 1990, 1995, 2000, 2005, 2010, 2015, and 2020 to extract land-use data combined with DEM and other data, the spatial analysis function of ArcGIS software was used to establish a land-use transfer matrix to extract the area, slope, and other information on sloping farmland in different periods. Methods such as terrain gradient classification, kernel density estimation, exploratory spatial data analysis, and erosion risk identification model were used to analyze the spatio-temporal evolution of sloping farmland in the TGRA and identified erosion risk areas from 1990 to 2020.

Files

Institutions

Southwest University

Categories

Soil Erosion, Agriculture Land Use, Land Use

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