基于IRS-P6的岷江上游裸地变化特征研究
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摘要
以汶川地震干扰作用下岷江上游裸地变化特征为依据,选取岷江上游地形资料及2006年和2009年两个时期IRS-P6多光谱影像数据,通过对岷江上游地区裸地特征地类进行特征分析,在监督分类和聚类分析模块下提取出该区域裸地与非裸地范围,定量界定出岷江上游流域地震前后裸地变化范围。结果表明:岷江上游震前(2006年)裸地面积为2 196km2,震后(2009年)裸地面积为3 680km2,扩大了1 484km2;裸地分布高程从2 200m升高至2 800m,其面积增加较多区域主要集中在汶川县至茂县交界地带、理县的杂谷脑流域一带及黑水县部分区域,该区域亦是人口密度相对集中、地质灾害频发、生态环境相对薄弱的区域。该方法的实现为利用IRS-P6界定生境系统特征提供参考价值,也为环境脆弱性区综合评价分析提供技术支撑。
On the basis of the bare land change characteristics in the upper reaches of the Minjiang River disturbed by Wenchuan earthquake, the topographic data and multi spectral image data in 2006 and 2009 are selected to be studied. According to analysis of bare land feature in the upper reaches of Minjiang River, the range of bare land and non-land in this area are extracted by supervised classification and clustering analysis module, and the range of variation of bare land in the upper reaches of Minjiang River before and after the earthquake are defined quantitatively. The study shows that: Bare land area is 2196km2 before the earthquake(2006) and is 3680km2 after the earthquake(2009), i.e. variation area increases 1484km2. Bare land elevation increases from 2200 m to 2800 m. The increased areas are mainly concentrated in the cross region between Wenchuan county and Maoxian county, Zagunao river basin in Lixian county, a part of Heishui county. These areas are also those with relatively high population density, serious geological disasters and relatively weak ecological environment. The realization of this method provides reference for the scientific definition of the regional environment system based on IRS-P6, and provides analysis support for comprehensive evaluation of fragile environment.
On the basis of the bare land change characteristics in the upper reaches of the Minjiang River disturbed by Wenchuan earthquake, the topographic data and multi spectral image data in 2006 and 2009 are selected to be studied. According to analysis of bare land feature in the upper reaches of Minjiang River, the range of bare land and non-land in this area are extracted by supervised classification and clustering analysis module, and the range of variation of bare land in the upper reaches of Minjiang River before and after the earthquake are defined quantitatively. The study shows that: Bare land area is 2196km2 before the earthquake(2006) and is 3680km2 after the earthquake(2009), i.e. variation area increases 1484km2. Bare land elevation increases from 2200 m to 2800 m. The increased areas are mainly concentrated in the cross region between Wenchuan county and Maoxian county, Zagunao river basin in Lixian county, a part of Heishui county. These areas are also those with relatively high population density, serious geological disasters and relatively weak ecological environment. The realization of this method provides reference for the scientific definition of the regional environment system based on IRS-P6, and provides analysis support for comprehensive evaluation of fragile environment.
引文
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[9]杨斌,王金生,詹金凤.Landsat-5遥感卫星波段组合与比值分析在汶川地震前后的应用[J],航天返回与遥感,2014,35(1):81-90.YANG Bin,WANG Jinsheng,ZHAN Jinfeng.Application of Band Combination and Ratio Analysis about Landsat-5 Satellite Before and After Wenchuan Earthquake[J].Spacecraft Recovery&Remote Sensing,2014,35(1):81-90.(in Chinese)
[10]苏涛,冯绍元,徐英.IRS-P6 LISS-3和Landsat-5 TM两种多光谱传感器影像数据的对比分析[J].遥感技术与应用,2012,27(6):887-895.SU Tao,FENG Shaoyuan,XU Ying.Study on Relationship between l RS-P6 LISS-3 and Landsat-5 TM Remote Sensing image[J].Remote Sensing Technology and Application,2012,27(6):887-895.(in Chinese)
[11]Rahman Md R.Flood Inundation Mapping and Damage Assessment Using Multi-temporal RADARSAT and IRS 1C LISS III Image[J].Asian Journal of Geoin-formatics,2006,6(2):11-21.
[12]丁美青,肖红光,彭文澜,等.基于遥感的汶川震区水体快速提取[J].航天返回与遥感,2012,33(2):88-92.DING Meiqing,XIAO Hongguang,PENG Wenlan,et al.Fast Extraction of Water Bodies Information in Wenchuan Earthquake Region Based on Remote Sensing[J].Spacecraft Recovery&Remote Sensing,2012,33(2):88-92.(in Chinese)
[13]Rahman Md R,Saha S K.Spatial Dynamics of Cropland and Cropping Pattern Change Analysis Using Landsat TM and IRS P6 LISSIII Satellite Images with GIS[J].Geo-spatial Information Science,12(2):123-134.
[14]樊宏,张建平.岷江上游半干旱河谷土地利用/土地覆盖研究[J].中国沙漠,2002,22(8):273-278.FAN Hong,ZHANG Jianping.Study on Land Use/Cover in Arid Valley of Upper Minjiang Watershed[J].Journal of desert research,2002,22(8):273-278.
[15]杨斌,詹金凤,李茂娇.岷江上游流域环境脆弱性评价[J].国土资源遥感,2014,26(4):138-144.YANG Bin,ZHAN Jinfeng,LI Maojiao.Evaluation of Environmental Vulnerability in the Upper Reaches of the Minjiang River[J].Remote Sensing for Land&Resources,2014,26(4):138-144.(in Chinese)
[16]肖辉军,蒋恩松,丁树文.基于SVM的IRS-P6卫星影像分类方法[J].陕西科技大学学报,2008,26(6):154-158.XIAO Huijun,JIANG Ensong,DING Shuwen.Classification of IRS-P6 Satellite Imagine Using SVM Method[J].Journal of Shanxi University of Science&Technology,2008,26(6):154-158.(in Chinese)
[2]杨兆平,常禹,胡远满,等.岷江上游干旱河谷景观变化及驱动力分析[J].生态学杂志,2007,26(6):869-874.YANG Zhaoping,CHANG Yu,HUYuanman,et al.Landscape Change and its Driving Forces of Dry Valley in Upper Reaches of Minjiang River[J].Chinese Journal of Ecology,2007,26(6):869-874.(in Chinese)
[3]沈茂英.川西干旱河谷区生态环境建设的社会保障机制研究[J].林业科学,2003,24(1):19-25.SHEN Maoyin.A Research on the Social Guarantee Mechanism for the Ecological Environment Construction in Arid River Valleys of Western Sichuan[J].Journal of Gansu Agricultural University,2003,24(1):19-25.(in Chinese)
[4]徐涵秋,唐菲.新一代Landsat系列卫星:Landsat-8遥感影像新增特征及其生态环境意义[J].生态学报,2013,33(11):3249-3257.XU Hanqiu,TANG Fei.Analysis of New Characteristics of the First Landsat 8 Image and Their Eco-environmental Significance[J].Acta Ecologica Sinica,2013,33(11):3249-3257.(in Chinese)
[5]林谭.基于SPOT影像的面向对象分类方法应用研究[D].东北师范大学,2012.LIN Tan.Application of Object-oriented Classification Based on SPOT Image[D].Northeast Normal University,2012.
[6]Hazarika M K,Yasuoka Y.Estimation of Net Primary Productivity by Integrating Remote Sensing Data with an Ecosystem Model[J].Remote Sensing of Environment,2005,94(3):298-310.
[7]王钦军,田庆久.IRS-P6卫星LISS3图像数据质量评价[J].地理与地理信息科学,2007,23(3):11-14.WANG Qinjun,TIAN Qingjiu.Quality Evaluation of LISS 3 Image from IRS-P6 Satellite[J].Geography and Geo-Information Science,2007,23(3):11-14.(in Chinese)
[8]周翔,林辉,马丰丰,等.IRS-P6影像最佳波段组合选择与制图精度评价[J].中南林业科技大学学报,2008,28(1):117-121.ZHOU Xiang,LIN Hui,MA Fengfeng,et al.The Optimum Band Combination and Mapping Precision of IRS-P6[J].Journal of Central South University of Forestry&Technology,2008,28(1):117-121.(in Chinese)
[9]杨斌,王金生,詹金凤.Landsat-5遥感卫星波段组合与比值分析在汶川地震前后的应用[J],航天返回与遥感,2014,35(1):81-90.YANG Bin,WANG Jinsheng,ZHAN Jinfeng.Application of Band Combination and Ratio Analysis about Landsat-5 Satellite Before and After Wenchuan Earthquake[J].Spacecraft Recovery&Remote Sensing,2014,35(1):81-90.(in Chinese)
[10]苏涛,冯绍元,徐英.IRS-P6 LISS-3和Landsat-5 TM两种多光谱传感器影像数据的对比分析[J].遥感技术与应用,2012,27(6):887-895.SU Tao,FENG Shaoyuan,XU Ying.Study on Relationship between l RS-P6 LISS-3 and Landsat-5 TM Remote Sensing image[J].Remote Sensing Technology and Application,2012,27(6):887-895.(in Chinese)
[11]Rahman Md R.Flood Inundation Mapping and Damage Assessment Using Multi-temporal RADARSAT and IRS 1C LISS III Image[J].Asian Journal of Geoin-formatics,2006,6(2):11-21.
[12]丁美青,肖红光,彭文澜,等.基于遥感的汶川震区水体快速提取[J].航天返回与遥感,2012,33(2):88-92.DING Meiqing,XIAO Hongguang,PENG Wenlan,et al.Fast Extraction of Water Bodies Information in Wenchuan Earthquake Region Based on Remote Sensing[J].Spacecraft Recovery&Remote Sensing,2012,33(2):88-92.(in Chinese)
[13]Rahman Md R,Saha S K.Spatial Dynamics of Cropland and Cropping Pattern Change Analysis Using Landsat TM and IRS P6 LISSIII Satellite Images with GIS[J].Geo-spatial Information Science,12(2):123-134.
[14]樊宏,张建平.岷江上游半干旱河谷土地利用/土地覆盖研究[J].中国沙漠,2002,22(8):273-278.FAN Hong,ZHANG Jianping.Study on Land Use/Cover in Arid Valley of Upper Minjiang Watershed[J].Journal of desert research,2002,22(8):273-278.
[15]杨斌,詹金凤,李茂娇.岷江上游流域环境脆弱性评价[J].国土资源遥感,2014,26(4):138-144.YANG Bin,ZHAN Jinfeng,LI Maojiao.Evaluation of Environmental Vulnerability in the Upper Reaches of the Minjiang River[J].Remote Sensing for Land&Resources,2014,26(4):138-144.(in Chinese)
[16]肖辉军,蒋恩松,丁树文.基于SVM的IRS-P6卫星影像分类方法[J].陕西科技大学学报,2008,26(6):154-158.XIAO Huijun,JIANG Ensong,DING Shuwen.Classification of IRS-P6 Satellite Imagine Using SVM Method[J].Journal of Shanxi University of Science&Technology,2008,26(6):154-158.(in Chinese)
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