基于Landsat遥感影像的土地利用变化动态监测

土地利用变化是土地资源利用情况的综合分析,遥感技术在土地利用变化的应用,更好的解决了大范围内土地利用变化动态监测的难题。本文基于Landsat影像,利用影像融合主成分分析法(PCA法)以及谷歌地球目视解译和最大似然法结合的方式进行监督分类,采用Majority/Minority分析对分类结果进行处理,通过混淆矩阵对分类的结果进行精度评估。运用遥感图像2001-2018年期间解译结果,对昆明市呈贡新区土地利用变化做出分析,以及对2001和2018年分类结果进行变化检测,结果表明,2001-2018年呈贡新区土地利用结构发生显著变化,城市建筑面积明显增多。

Dynamic Monitoring of Land Use Change Based on LANDSAT Remote Sensing Images

Land use change is a comprehensive analysis of land resources utilization, the application of remote sensing technology in land use change, Better solve the problem of dynamic monitoring of land use change in a wide range. Based on Landsat images, this paper uses the method of image Fusion principal component Analysis(PCA) and the combination of Google Earth visual interpretation and maximum likelihood method to supervise and classify, and uses Majority/Minority analysis to deal with the classification results, The accuracy of the classification is evaluated by the obfuscation matrix. Using the results of the interpretation of remote sensing images in the2001-2018, this paper analyzes the land use change in Kunming Chenggong new area, and tests the changes of the classification results in 2001 and 2018, and shows that the land use structure of Chenggong new area has changed significantly in 2001-2018, and the urban floor space has increased obviously.