运用遥感指数的崩滑检测方法
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摘要
以汶川地震时出现的崩滑为研究对象,以该地区震前/后TM影像为研究数据,利用变化检测的方法,比较和分析了归一化植被指数(NDVI)、归一化建筑指数(NDBI)和归一化燃烧率(NBR)应用在崩滑检测中的可行性和优劣性。结果表明,3种遥感指数均可以用于崩滑检测,但效果不同:NDVI对崩滑检测最全面但可信度最低,NBR对崩滑检测最可信但遗漏最多,NDBI处于中间水平。
Based on the landslides occurs on the Wenchuan earthquake and pre/post-earthquake TM image data,this paper used the change detection method to compare and analyze the feasibility,advantages and disadvantages between the Normalized Difference Vegetation Index(NDVI),the Normalized Difference Built-up Index(NDBI) and the Normalized Burn Ratio(NBR) in the field of landslide detection.Results showed that all the three kinds of remote sensing index could be used in the field of landslide detection,but the effect was different.NDVI had the highest comprehensiveness and lowest credibility,NBR had the highest credibility and the lowest comprehensiveness,and NDBI in intermediate level.
Based on the landslides occurs on the Wenchuan earthquake and pre/post-earthquake TM image data,this paper used the change detection method to compare and analyze the feasibility,advantages and disadvantages between the Normalized Difference Vegetation Index(NDVI),the Normalized Difference Built-up Index(NDBI) and the Normalized Burn Ratio(NBR) in the field of landslide detection.Results showed that all the three kinds of remote sensing index could be used in the field of landslide detection,but the effect was different.NDVI had the highest comprehensiveness and lowest credibility,NBR had the highest credibility and the lowest comprehensiveness,and NDBI in intermediate level.
引文
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[6]李松,李亦秋,安裕伦.基于变化检测的滑坡灾害自动识别[J].遥感应用,2010(1):27-31
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[9]许高程,张文君,王卫红.支持向量机技术在遥感影像滑坡体识别提取中的应用[J].安徽农林科学,2009,37(6):326-336
[10]Norton J,Glenn N,Weber K.Using a 1 Year Post Fire ExtendedAssessment to Determine Appropriate NBR and Vegetation Indi-ces,and Their Efficacy for Assessing Burn Severity in RangelandEcosystems[Z].http://giscenter.isu.edu/research/techpg/nasa_tlcc/to_pdf/prelim_nbr.pdf
[11]Fox D M,Maselli F,Carrega P.Using SPOT Images and FieldSampling to Map Burn Severity and Vegetation Factors AffectingPose Forest Fire Erosion Risk[J].Catena,2008,75:326-336
[12]Rouse J W,Haas R H,Schell J A,et al.Monitoring VegetationsSystems in the Great Plains with ERTS-1[J].Third Earth Reso-urces Technology Satellite Symposium,1973:309-317
[13]杨山.发达地区城乡聚落形态的信息提取与分形研究[J].地理学报,2000,55(6):671-678
[14]Zha Y,Gao J,Ni S.Use of Normalized Diference Built-up Indexin Automatically Mapping Urban Areas from TM Imagery[J].In-ternational Joumal of Remote Sensing,2003,24(3):583-594
[2]花利忠,崔胜辉,李新虎,等.汶川大地震滑坡体遥感识别及生态服务价值损失评估[J].生态学报,2008,28(12):5909-5916
[3]李保忠,赵淑芳.关中地区滑坡、泥石流灾害遥感调查研究及其方法探讨[J].灾害学,1992,7(3):38-41
[4]杨日红,王治华,贾韶辉,等.数字遥感技术在宣汉县天台乡滑坡研究中的应用[J].吉利大学学报:地球科学版,2007,37(3):557-563
[5]王小东.浅析区域滑坡灾害遥感调查中的多远多时相融合技术[J].地球与环境,2005,33(增刊):84-86
[6]李松,李亦秋,安裕伦.基于变化检测的滑坡灾害自动识别[J].遥感应用,2010(1):27-31
[7]张淑辉.地统计分析在滑坡遥感监测中的研究进展[J].地质调查与研究,2007,30(4):302-306
[8]万保锋,袁水华,苏建平.基于纹理分析的滑坡遥感图像识别[J].地矿测绘,2009,25(2):11-14
[9]许高程,张文君,王卫红.支持向量机技术在遥感影像滑坡体识别提取中的应用[J].安徽农林科学,2009,37(6):326-336
[10]Norton J,Glenn N,Weber K.Using a 1 Year Post Fire ExtendedAssessment to Determine Appropriate NBR and Vegetation Indi-ces,and Their Efficacy for Assessing Burn Severity in RangelandEcosystems[Z].http://giscenter.isu.edu/research/techpg/nasa_tlcc/to_pdf/prelim_nbr.pdf
[11]Fox D M,Maselli F,Carrega P.Using SPOT Images and FieldSampling to Map Burn Severity and Vegetation Factors AffectingPose Forest Fire Erosion Risk[J].Catena,2008,75:326-336
[12]Rouse J W,Haas R H,Schell J A,et al.Monitoring VegetationsSystems in the Great Plains with ERTS-1[J].Third Earth Reso-urces Technology Satellite Symposium,1973:309-317
[13]杨山.发达地区城乡聚落形态的信息提取与分形研究[J].地理学报,2000,55(6):671-678
[14]Zha Y,Gao J,Ni S.Use of Normalized Diference Built-up Indexin Automatically Mapping Urban Areas from TM Imagery[J].In-ternational Joumal of Remote Sensing,2003,24(3):583-594
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