基于Landsat时间序列的自贡市土地利用/覆盖动态分析
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摘要
遥感提供了时间和空间相一致的数据,有助于检测土地覆盖的时空格局和动态。本文以自贡市为研究对象,以2001年、2011年和2017年3期Landsat-5、Landsat7和Landsat-8遥感影像为信息源,采用SVM算法对自贡市土地利用变化进行自动分类,用土地利用转移矩阵和土地利用动态变化模型对研究区土地利用状况进行统计。结果表明:2001-2011年间,耕地面积减少290.67 km~2,主要转化为林地,林地、水体和建设用地面积增加,分别为216.68 km~2、23.05 km~2和50.94 km~2。2011-2017年间,耕地面积减少182.25 km~2,建设用地和林地增加面积为17.67 km~2和164.93 km~2,水体面积几乎没有变化。总体上,2001-2017年间,耕地面积在不断减少,林地和建设用地面积不断增加,水体面积呈先增加后减少趋势。
Remote sensing provides time and space-consistent data that helps detecting the temporal and spatial patterns and dynamics of land cover. Through taking Zigong City as the research object,while using the Landsat-5,Landsat7 and Landsat-8 remote sensing images of the year 2001,2011 and 2017 as the sources of information,an automatic classification of land use changes in Zigong City and statistics on land use in the study areas was obtained by using SVM algorithm and land use transfer matrix as well as land use dynamic change model. The results showed that during the period from~2006 to 2011,the cultivated land decreased by 290. 67 km~2,which was mainly transformed into forest land; while the area of forest land,water bodies,and construction land increased by 216. 68 km~2,23. 05 km~2,and 50. 94 km~2 respectively. During the period from 2011 to 2017,the area of cultivated land decreased by 182. 25 km~2,while construction land and forest land area increased by17. 67 km~2 and 164. 93 km~2 respectively. There was almost no change with regard to the water body area. In general,from 2001 to 2017,the area of arable land continued to decrease while the area of forest land and construction land continued to increase. The changes of water bodies shows in somewhat fluctuated manner,with area increased in the beginning and dropped down afterwards.
Remote sensing provides time and space-consistent data that helps detecting the temporal and spatial patterns and dynamics of land cover. Through taking Zigong City as the research object,while using the Landsat-5,Landsat7 and Landsat-8 remote sensing images of the year 2001,2011 and 2017 as the sources of information,an automatic classification of land use changes in Zigong City and statistics on land use in the study areas was obtained by using SVM algorithm and land use transfer matrix as well as land use dynamic change model. The results showed that during the period from~2006 to 2011,the cultivated land decreased by 290. 67 km~2,which was mainly transformed into forest land; while the area of forest land,water bodies,and construction land increased by 216. 68 km~2,23. 05 km~2,and 50. 94 km~2 respectively. During the period from 2011 to 2017,the area of cultivated land decreased by 182. 25 km~2,while construction land and forest land area increased by17. 67 km~2 and 164. 93 km~2 respectively. There was almost no change with regard to the water body area. In general,from 2001 to 2017,the area of arable land continued to decrease while the area of forest land and construction land continued to increase. The changes of water bodies shows in somewhat fluctuated manner,with area increased in the beginning and dropped down afterwards.
引文
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[11]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/OL].测绘科学,2019(03):1-10.[2018-05-23].http://kns.cnki.net/kcms/detail/11.4415.P.20180124.1446.006.html.
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[14]侯英雨,何延波.利用TM数据监测岩溶山区城市土地利用变化[J].地理学与国土研究,2001,17(3):22-25.
[15]裴欢,孙天娇,王晓妍.基于Landsat 8 OLI影像纹理特征的面向对象土地利用/覆盖分类[J].农业工程学报,2018,34(2):248-255.
[16]谢波,袁希平,甘淑,等.滇中星云湖流域典型城镇用地变化遥感分析[J].昆明理工大学学报(自然科学版),2018,43(1):32-38.
[17]何苇航,耿丹丹,王瑶,等.武夷山市土地利用变化遥感监测分析[J].测绘科学,2017,42(11):47-55.
[18]夏清,杨武年.兴宾区土地利用变化遥感动态监测研究[J].测绘科学,2017,42(12):92-97.
[2]王婷婷,李山山,李安,等.基于Landsat8卫星影像的北京地区土地覆盖分类[J].中国图象图形学报,2015,20(9):1275-1284.
[3]郭斌,陈佑启,姚艳敏,等.土地利用与土地覆被变化驱动力研究综述[J].中国农学通报,2008,24(4):408-414.
[4]张增祥,汪潇,温庆可,等.土地资源遥感应用研究进展[J].遥感学报,2016,20(5):1243-1258.
[5]Halmy M W A,Gessler P E,Hicke J A,et al.Land use/land cover change detection and prediction in the north-western coastal desert of Egypt using MarkovCA[J].Applied Geography,2015,63:101-112.DOI:10.1016/j.apgeog.2015.06.015.
[6]Elias M,Hensel O,Richter U,et al.Land Conversion Dynamics in the Borana Rangelands of Southern Ethiopia:An Integrated Assessment Using Remote Sensing Techniques and Field Survey Data[J].Environments,2015,2(4):385-387.DOI:10.3390/environments2030385.
[7]Maimaitijiang M,Ghulam A,Sandoval J S O,et al.Drivers of land cover and land use changes in St.Louis metropolitan area over the past 40 years characterized by remote sensing and census population data[J].International Journal of Applied Earth Observation&Geoinformation,2015,35(3):161-174.
[8]陈洋波,张涛,窦鹏,等.基于SVM的东莞市土地利用/覆被自动分类误差来源与后处理[J].遥感技术与应用,2017,32(5):893-903.
[9]王磊,王羊,蔡运龙.土地利用变化的ANN-CA模拟研究--以西南喀斯特地区猫跳河流域为例[J].北京大学学报(自然科学版),2012,48(1):116-122.
[10]关舒婧,韩鹏鹏,王月如,等.华南地区典型种植园地遥感分类研究[J].地球信息科学学报,2017,19(11):1538-1546.
[11]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/OL].测绘科学,2019(03):1-10.[2018-05-23].http://kns.cnki.net/kcms/detail/11.4415.P.20180124.1446.006.html.
[12]Kanellopoulos I,Wilkinson G G.Strategies and best practice for neural network image classification[J].International Journal of Remote Sensing,1997,18(4):711-725.DOI:10.1080/014311697218719.
[13]杜培军,柳思聪,郑辉.基于支持向量机的矿区土地覆盖变化检测[J].中国矿业大学学报,2012,41(2):262-267.
[14]侯英雨,何延波.利用TM数据监测岩溶山区城市土地利用变化[J].地理学与国土研究,2001,17(3):22-25.
[15]裴欢,孙天娇,王晓妍.基于Landsat 8 OLI影像纹理特征的面向对象土地利用/覆盖分类[J].农业工程学报,2018,34(2):248-255.
[16]谢波,袁希平,甘淑,等.滇中星云湖流域典型城镇用地变化遥感分析[J].昆明理工大学学报(自然科学版),2018,43(1):32-38.
[17]何苇航,耿丹丹,王瑶,等.武夷山市土地利用变化遥感监测分析[J].测绘科学,2017,42(11):47-55.
[18]夏清,杨武年.兴宾区土地利用变化遥感动态监测研究[J].测绘科学,2017,42(12):92-97.