基于Landsat影像的土地利用变化分析

Land Use Change Analysis and Statistics Based on Landsat Image

目的:研究确定土地利用/覆被变化分类的方法。方法:基于Landsat遥感影像数据,以淮安市为研究对象,利用ERDAS IMAGINE遥感处理技术和ARCGIS为主要的处理分析工具,以1998年、2006年和2018年3个时间节点,分析1998—2006年、2006—2018年以及1998—2018年淮安市的土地利用/覆盖变化状况,并从土地利用面积、土地利用动态、土地利用空间3个方面进行分析研究。结果:(1)1998—2006年间,淮安市土地利用的变化呈现“两增四减”。耕地及农村用地面积相对分别上涨538.880km^2、370.210km^2;水体、林地、城镇用地、未利用地面积分别减少101.485km^2、85.454km^2、174.539km^2、547.612km^2;(2)2006—2018年间,淮安市土地利用变化呈现“三增三减”。水体、农村用地、城镇用地面积分别增加217.545km^2、464.800km^2、610.411km^2,林地、耕地、未利用地分别下降434.125km^2、19.350km^2、839.281km^2。(3)1998—2018年的20年间,淮安市土地利用变化整体呈现“四增两减”,即:农村用地、水体、耕地、城镇用地面积增加,未利用地、林地面积减少。每种土地类型都有不同数量的相互转化。结论:基于ERDAS IMAGINE遥感处理技术方法是研究土地利用分类的一个有力工具。

Objective:to determine the classification method of land use/cover change and study it.Research meth?ods:Based on Landsat remote sensing image data,taking Huai′an City as the research object,using ERDAS Image remote sensing processing technology and ArcGIS are the main processing and analysis tools.Based on the three time nodes of 1998,2006 and 2018,the land use/cover change of Huai′an City in 1998—2006,2006—2018 and 1998—2018 is analyzed,and the land use area,land use dynamics and land use space are studied.The results are as follows:(1)from 1998 to 2006,land use change in Huai′an increased by two and decreased by four.The area of culti?vated land and rural land increased by 538.880km^2 and 370.210km^2 respectively;the area of water body,forest land,urban land and unused land decreased by 101.485km^2,85.454km^2,174.539km^2 and 547.612km^2 respectively;(2)from 2006 to 2018,the land use change of Huai′an City showed three increases and three decreases.The area of wa?ter body,rural land and urban land increased by 217.545km^2,464.800km^2 and 610.411km^2 respectively,while that of forest land,cultivated land and unused land decreased by 434.125km^2,19.350km^2 and 839.281km^2 respectively.(3)During the 20 years from 1998 to 2018,the overall land use change of Huai′an City showed four increases and two decreases.The area of rural land,water body,cultivated land and urban land increased while the area of unused land and forest land decreased.Each land type has different amount of mutual transformation.Conclusion:the remote sensing technology based on ERDAS image is a powerful tool for land use classification.