基于Landsat遥感影像的土地利用变化动态监测
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摘要
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。
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.
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.
引文
[1]姚尧.湖南省土地利用转型的时空演变特征及其与社会经济发展耦合协调机制研究[D].中国地质大学,2018.
[2]张登荣,许思莹,谢斌,吴文渊,路海峰.近40年椒江-台州湾滩涂围垦土地利用变化的遥感调查[J].国土资源遥感,2016,28(01):101-106.
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[5]陈仙春,赵俊三,陈磊士,陈国平.基于Landsat影像的玉溪市红塔区土地覆盖分类及变化分析[J].森林工程,2019,35(03):1-8.
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[12]吴倩雯,况润元,张刚华,秦建.东江源稀土矿区土地利用变化遥感监测研究[J].测绘科学,2019,44(03):51-56.
[13]赵丽红.南昌市景观格局时空变化及其驱动力研究[D].江西农业大学,2016.
[14]张春华,李修楠,吴孟泉,秦伟山,张筠.基于Landsat 8OLI数据与面向对象分类的昆嵛山地区土地覆盖信息提取[J].地理科学,2018,38(11):1904-1913.
[15]付仲良,陈静.多时相Landsat数据动态监测城市土地利用变化--以上海市为例[J].地理信息世界,2016,23(06):26-30+38.
[16]李丹,梅晓丹,赵鹤,田美玲,翟慧,罗雨斐,蒙延斌.GF-1与Landsat-8影像土地利用遥感解译对比分析[J].测绘工程,2018,27(10):42-45.
[17]赵桔青,陶福寿.基于GIS的城镇土地资源承载力评价[J].软件,2018,39(7):52-56
[18]张思佳.基于RS/GIS的长沙市土地利用和稳定性分析[J].软件,2018,39(7):124-129
[19]赵展,夏旺,闫利.基于多源数据的土地利用变化检测[J].国土资源遥感,2018,30(04):148-155.
[20]陈艳艳,黄义忠.基于全排列多边形图示指标法的昆明市土地集约利用评价[J].软件,2018,39(7):138142.
[2]张登荣,许思莹,谢斌,吴文渊,路海峰.近40年椒江-台州湾滩涂围垦土地利用变化的遥感调查[J].国土资源遥感,2016,28(01):101-106.
[3]Nuray Demirel,?ebnem Düzgün,Mustafa Kemal Emil.Landuse change detection in a surface coal mine area using multi-temporal high-resolution satellite images[J].International Journal of Mining,Reclamation and Environment,2011,25(4).
[4]丁相元,高志海,孙斌,吴俊君,薛传平,王燕.基于高分一号时间序列数据的沙化土地分类[J].国土资源遥感,2017,29(03):196-202.
[5]陈仙春,赵俊三,陈磊士,陈国平.基于Landsat影像的玉溪市红塔区土地覆盖分类及变化分析[J].森林工程,2019,35(03):1-8.
[6]赵孟云.北京市植被覆盖动态变化与污染气体浓度关系分析研究[J].软件,2018,39(11):197-201.
[7]刘生龙,张永红.基于遥感影像的土地利用变化检测[J].测绘与空间地理信息,2018,41(01):145-148.
[8]Darío Fernández‐Bellon,Mark W.Wilson,Sandra Irwin,John O'Halloran.Effects of development of wind energy and associated changes in land use on bird densities in upland areas[J].Conservation Biology,2019,33(2).
[9]信冠栋,施昆,吕晓阳.遥感动态监测模型在拉市海湿地保护区土地利用中的研究[J].软件,2018,39(4):170-175
[10]曹丹阳,霍然,孙凌,等.卫星可见光波段观测模拟与分析系统设计与开发[J].软件,2018,39(3):01-07
[11]郭力娜,李帅,张梦华,牛振国,李孟倩.最佳波段组合的城市土地利用类型提取[J/OL].测绘科学:1-9[2019-04-27].
[12]吴倩雯,况润元,张刚华,秦建.东江源稀土矿区土地利用变化遥感监测研究[J].测绘科学,2019,44(03):51-56.
[13]赵丽红.南昌市景观格局时空变化及其驱动力研究[D].江西农业大学,2016.
[14]张春华,李修楠,吴孟泉,秦伟山,张筠.基于Landsat 8OLI数据与面向对象分类的昆嵛山地区土地覆盖信息提取[J].地理科学,2018,38(11):1904-1913.
[15]付仲良,陈静.多时相Landsat数据动态监测城市土地利用变化--以上海市为例[J].地理信息世界,2016,23(06):26-30+38.
[16]李丹,梅晓丹,赵鹤,田美玲,翟慧,罗雨斐,蒙延斌.GF-1与Landsat-8影像土地利用遥感解译对比分析[J].测绘工程,2018,27(10):42-45.
[17]赵桔青,陶福寿.基于GIS的城镇土地资源承载力评价[J].软件,2018,39(7):52-56
[18]张思佳.基于RS/GIS的长沙市土地利用和稳定性分析[J].软件,2018,39(7):124-129
[19]赵展,夏旺,闫利.基于多源数据的土地利用变化检测[J].国土资源遥感,2018,30(04):148-155.
[20]陈艳艳,黄义忠.基于全排列多边形图示指标法的昆明市土地集约利用评价[J].软件,2018,39(7):138142.
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