Analysis of the spatiotemporal characteristics and coupling coordination of the Thress Lives function based on remote sensing in Shaoguan City

This article takes Shaoguan City, a resource depleted city, as the research area. conduct an analysis of the spatiotemporal pattern evolution characteristics of national land based on a multi-scale rural ecosystem "Thress Lives" functional evaluation index system and the corresponding weights of each index at different scales. Construct an evaluation index system for the "Thress Lives" functions under a land under the land classification standards for land use/cover change. Based on ENVI Deep Learning and other methods, perform processes such as preprocessing of Landsat series data, creation of training samples, and post-classification processing to obtain land use data, and obtain the spatial distribution pattern of the "Thress Lives" data in Shaoguan City from 2000 to 2020. Using the "Entropy Weight Method", "Rural Ecosystem 'Thress Lives' Function Index and Grading", and "Rural Ecosystem' Thress Lives' Function Coupling Coordination Model and Grading" to analyze its spatiotemporal change characteristics.