5.12汶川震区植被遥感动态监测与分析
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摘要
依照遥感应用数据选择原则,选取了5.12汶川地震前后三年周期内同季节的Landsat-TM遥感图像,进行了遥感植被监测应用的波段选择分析和NDVI提取方法的详细介绍,并分别用NDVI植被指数、监督分类等方法对震区地震前后的植被信息进行了提取、统计和对照分析.结果表明,从2007年9月到2008年7月,灾区植被的总体分布有所减少,减少量为5.3%;从2008年7月到2009年6月,植被的总体分布有所增加,2009已经接近2007年水平,达到震前覆盖率的98.3%.
5.12 Wenchuan earthquake in 2008 has effected serious damage to China's southwestern region that is an important ecological areas.After the earthquake occurred,the monitoring and analysis on the health status and distribution of vegetation is extremely important.In the first,The paper has achieved many remote sensing data according to the principle of spatial data selection,and selected three Landsat-TM remote sensing images within the same season in the three-year period before and after the 5.12 Wenchuan earthquake.In the second,it analysed on the bands selection method of the remote sensing applications on vegetation monitoring and discussed the information extract method of vegetation used NDVI(Normalized Difference Vegetation Index).Finally,it extracts the vegetation information of earthquake damage by supervised classification methods and NDVI,and carried on the statistics and comparative analysis based on the pixels.The results show that from September 2007 to July 2008,the earthquake affected the vegetation coverage reduced by the amount of 5.3% and from July 2008 to June 2009,an increase in the vegetation coverage.It is close to 2009 levels in 2007,reaching 98.3% of the coverage before the earthquake.
5.12 Wenchuan earthquake in 2008 has effected serious damage to China's southwestern region that is an important ecological areas.After the earthquake occurred,the monitoring and analysis on the health status and distribution of vegetation is extremely important.In the first,The paper has achieved many remote sensing data according to the principle of spatial data selection,and selected three Landsat-TM remote sensing images within the same season in the three-year period before and after the 5.12 Wenchuan earthquake.In the second,it analysed on the bands selection method of the remote sensing applications on vegetation monitoring and discussed the information extract method of vegetation used NDVI(Normalized Difference Vegetation Index).Finally,it extracts the vegetation information of earthquake damage by supervised classification methods and NDVI,and carried on the statistics and comparative analysis based on the pixels.The results show that from September 2007 to July 2008,the earthquake affected the vegetation coverage reduced by the amount of 5.3% and from July 2008 to June 2009,an increase in the vegetation coverage.It is close to 2009 levels in 2007,reaching 98.3% of the coverage before the earthquake.
引文
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[8]陈劲松,韩玲.运用NDVI提取遥感影像中的植被信息[J].测绘标准化,2004,66(21):21-22.Chen Jinsong,Han Ling.NDVI extracted based on remotesensing images[J].Surveying and mapping standardized,2004,66(21):21-22.
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[13]苗正红,刘志明,王宗明,等.基于MODIS NDVI的吉林省植被覆盖度动态遥感监测[J].遥感技术与应用,2010,25(3):388-391.MIAO Zheng-hong.LIU Zhi-ming.WANG Zong-ming.Dynamic Monitoring of Vegetation Fraction Change in JilinProvince Based on MODIS NDVI[J].Remote SensingTechnology and Application,2010,25(3):388-391.
[14]叶成名,韩岭.基于RS和GIS的地震灾区生态环境监测技术与应用研究技术报告[D].2010,30-40.Ye Chengming,Han Ling.The Reports about theenvironment monitoring techniques and application toearthquake-stricken area ecological based on RS and GIS[D].2010,30-40.
[15]Jian Yang,Peter J.Weisberg.Nathan A.Bristow.Landsatremote sensing approaches for monitoring long-term treecover dynamics in semi-arid woodlands:Comparison ofvegetation indices and spectral mixture analysis[J].RemoteSensing of Environment,2012,119(6):62-71.
[16]Arzu Erener.Remote sensing of vegetation health for reclaimedareas of Seyitmer open cast coal mine[J].InternationalJournal of Coal Geology,2011,86(1):20-26.
[17]Peijun DU,Xingli LI,Wen CAO.Monitoring urban land coverand vegetation change by multi-temporal remote sensinginformation[J].Mining Science and Technology(China),2010,20(6):922-932.
[18]Mei-chen FENG,Wu-de YANG,Liang-liang.MonitoringWinter Wheat Freeze Injury Using Multi-Temporal MODISData[J].Agricultural Sciences in China,2009,8(9):1053-1062.
[19]Wei ZHENG,Chuang LIU,Zhi-yuan ZENG.A FeasibleAtmospheric Correction Method to TM Image[J].Journal ofChina University of Mining and Technology,2007,17(1):112-115.
[20]Xiao-Ling Chen,Hong-Mei Zhao.Remote sensing image-based analysis of the relationship between urban heat islandand land use/cover changes[J].Remote Sensing ofEnvironment,2006,104(2):133-146.
[2]李健,邢立新.小波变换在TM热红外遥感信息解释中的应用[J].地球物理学进展,2004,6(19):264-267.LI Jian;XING Li-xin.The application of wavelet transform inthe interpretation of TM thermal infrared remotely sensedinformation[J].Progress in Geophysics,2004,6(19):264-267.
[3]卢善龙,沈晓华,邹乐君.基于尺度分析的断层热信息遥感图像增强方法——以江山—绍兴断裂金衢段为例[J].地球物理学报,2008,9(51):1484-1493.LU Shan-Long,SHEN Xiao-Hua,ZOU Le-Jun1.Remotesensing image enhancement method of the fault thermalinformation based on scale analysis:A case study of Jiangshan-Shaoxing fault between Jinhua and Quzhou of ZhejiangProvince,China[J].Chinese Journal of Geophysics,2008,9(51):1484-1493.
[4]罗修岳,郑柯.脆弱生态环境植被指数和植被盖度数字图像的编制及其应用研究—以晋陕蒙地区为例:晋陕蒙接壤地区脆弱生态系统遥感监测与管理研究[M].北京:宇航出版社,1994,24-25.Luo Xiuyue,Zheng Ke.The preparation of digital images andits application about the vegetation index of Fragile ecologicalenvironment and vegetation cover[M].Beijing:AerospacePress,1994,24-25.
[5]岳文泽,徐建华,徐丽华,等.基于遥感影像的城市土地利用生态环境效应研究——以城市热环境和植被指数为例[J].生态学报,2006,26(5):1450-1460.YUE Wen-Ze,XU Jian-Hua,XU Li-Hua,et al.An analysis oneco-environmental effect of urban land use based on remotesensing images:a case study of urban thermal environment andNDVI[J].Acta Ecologica Sinica,2006,26(5):1450-1460.
[6]李晓松,李增元,高志海,等.基于NDVI与偏最小二乘回归的荒漠化地区植被覆盖度高光谱遥感估测[J].中国沙漠,2011,1.LI Xiao-song,LI Zeng-yuan,GAO Zhi-hai.Estimation ofVegetation Cover in Desertified Regions from HyperionImageries Using NDVI and Partial Least Squares Regression[J].Journal of Desert Research,2011,1.
[7]张海霞,卞正富.遥感影像植被信息提取方法研究及思考[J].地理空间信息,2007,5(6):65-67.ZHANG Haixia.BIAN Zhengfu.Method for VegetationInformation Extraction from Remote Sensing Images[J].Geospatial Information,2007,5(6):65-67.
[8]陈劲松,韩玲.运用NDVI提取遥感影像中的植被信息[J].测绘标准化,2004,66(21):21-22.Chen Jinsong,Han Ling.NDVI extracted based on remotesensing images[J].Surveying and mapping standardized,2004,66(21):21-22.
[9]HOLBEN B N,KAUFMAN Y J,KE NDALL J D.NOAA-11AVH RR visible and near IR in flight calibration[J].International Journal of Remote Sensing,1990,11(8):1511-1519.
[10]Hawkins,J.K.Textural Properties for Pattern Recognition,In Picture Processing and Psychohistories,B.Lipkin and A.Rosenfeld(editors),Academic Press,New York,1969.
[11]Haralick R M.Statistical and Structural Approaches toTexture[J].Proceedings of the IEEE,1973,67:786-804.
[12]贾海峰,刘雪华,等.环境遥感原理与应用[M].北京:清华大学出版社,2006,95-97,175-177.Jia Haifeng,Liu Xuehua.Environmental Remote SensingPrinciples and Applications[M].Tsinghua University Press,2006,95-97,175-177.
[13]苗正红,刘志明,王宗明,等.基于MODIS NDVI的吉林省植被覆盖度动态遥感监测[J].遥感技术与应用,2010,25(3):388-391.MIAO Zheng-hong.LIU Zhi-ming.WANG Zong-ming.Dynamic Monitoring of Vegetation Fraction Change in JilinProvince Based on MODIS NDVI[J].Remote SensingTechnology and Application,2010,25(3):388-391.
[14]叶成名,韩岭.基于RS和GIS的地震灾区生态环境监测技术与应用研究技术报告[D].2010,30-40.Ye Chengming,Han Ling.The Reports about theenvironment monitoring techniques and application toearthquake-stricken area ecological based on RS and GIS[D].2010,30-40.
[15]Jian Yang,Peter J.Weisberg.Nathan A.Bristow.Landsatremote sensing approaches for monitoring long-term treecover dynamics in semi-arid woodlands:Comparison ofvegetation indices and spectral mixture analysis[J].RemoteSensing of Environment,2012,119(6):62-71.
[16]Arzu Erener.Remote sensing of vegetation health for reclaimedareas of Seyitmer open cast coal mine[J].InternationalJournal of Coal Geology,2011,86(1):20-26.
[17]Peijun DU,Xingli LI,Wen CAO.Monitoring urban land coverand vegetation change by multi-temporal remote sensinginformation[J].Mining Science and Technology(China),2010,20(6):922-932.
[18]Mei-chen FENG,Wu-de YANG,Liang-liang.MonitoringWinter Wheat Freeze Injury Using Multi-Temporal MODISData[J].Agricultural Sciences in China,2009,8(9):1053-1062.
[19]Wei ZHENG,Chuang LIU,Zhi-yuan ZENG.A FeasibleAtmospheric Correction Method to TM Image[J].Journal ofChina University of Mining and Technology,2007,17(1):112-115.
[20]Xiao-Ling Chen,Hong-Mei Zhao.Remote sensing image-based analysis of the relationship between urban heat islandand land use/cover changes[J].Remote Sensing ofEnvironment,2006,104(2):133-146.
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