森林工程2024，Vol.40Issue(4)：58-70,13.DOI:10.7525/j.issn.1006-8023.2024.04.007
基于GEE平台1995-2022年云南省LULC变化及驱动因素分析
Analysis of LULC Changes and Driving Factors in Yunnan Province from 1995 to 2022 Based on GEE Platform
摘要
Abstract
Quickly and accurately obtaining land use information can provide a reference for urban development and ecological environment protection.This study classifies land use types in Yunnan Province based on multi-temporal Landsat image dense time stacking and random forest algorithm on the Google Earth Engine(GEE)platform,analyzes the spatiotemporal change trends of LULC in Yunnan Province,and uses geodetectors to quantitatively evaluate key drivers factor.The results show that,1)the average overall accuracy and Kappa coefficient of LULC classification in this study are 88.64%and 86.01%,respectively,which is highly accurate and meets the data usage requirements.2)The land types in Yunnan Province are mainly forest land,cultivated land,grassland,and sparse shrub grass mixed land,accounting for 97.91%-98.38%.Land use transfer mainly involves the conversion of forest land and cultivated land,and the conversion of grassland and sparse shrub grass mixed land into cultivated land.3)The land use intensity in central and eastern Yunnan in Yunnan Province is generally higher than that in other regions,while the land use intensity in northwest and southwestern Yunnan is lower.4)There are significant differences in the influence of different driving factors on LULC.Vegeta-tion type,average annual temperature and soil type have a relatively small impact on LULC changes.Elevation,slope,aspect,aver-age annual precipitation,population density,GDP and population urbanization rate,etc.,generally have a high impact on LULC changes,Among them,GDP,population density,and population urbanization rate have a higher impact on LULC changes.The re-search results can provide data basis and support for subsequent ecological and environmental protection policy formulation and re-gional sustainable development in Yunnan Province.关键词
云南省/土地利用/土地覆盖(LULC)/遥感监测/谷歌地球引擎/地理探测器/驱动分析Key words
Yunnan Province/land use/land cover(LULC)/remote sensing monitoring/Google Earth Engine/geodetector/driver analysis分类
农业科技引用本文复制引用
沈健,岳彩荣,郭喜龙,李馨,张澜钟,徐天蜀..基于GEE平台1995-2022年云南省LULC变化及驱动因素分析[J].森林工程,2024,40(4):58-70,13.基金项目
国家自然科学基金项目(42061072). （42061072）
