Please wait a minute...
img

官方微信

遥感技术与应用  2016, Vol. 31 Issue (3): 564-571    DOI: 10.11873/j.issn.1004-0323.2016.3.0564
遥感应用     
基于COSMOGSkyMed和SPOTG5的城镇洪水淹没信息快速提取研究
王嘉芃1,2,刘婷1,2,俞志强,胡潭高1,2,张登荣1,2,寻丹丹1,2,王冬海
(1.杭州师范大学遥感与地球科学研究院,浙江杭州 311121
2.浙江省城市湿地与区域变化研究重点实验室,浙江杭州 311121
3.浙江省地理信息中心,浙江杭州 310012;4.中电科海洋信息技术研究院有限公司,北京 100043)
A Research on Town Flood Information Rapid Extraction based on COSMO-SkyMed and SPOT-5
Wang Jiapeng1,2,Liu Ting1,2,Yu Zhiqiang3,Hu Tangao1,2,Zhang Dengrong1,2,Xun Dandan1,2,Wang Donghei4
(1.Institute of Remote Sensing and Earth Sciences,Hangzhou Normal University,Hangzhou 311121,China
2.Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change,Hangzhou 311121,China;
3.Geographic Information Center of Zhejiang Province,Hangzhou 310012,China;
4.CETC Ocean Information Co.,Ltd,Beijing 100043,China)
 全文: PDF(11210 KB)  
摘要:

洪水是我国最为频繁的自然灾害之一,如何快速准确地获取洪水淹没范围在救灾减灾工作中具有重要意义.目前,卫星遥感技术已广泛应用于洪水信息提取的研究中.不同的遥感数据源在洪水信息提取中各有利弊,综合研究雷达影像和可见光影像的优缺点,建立了基于多源遥感数据的洪水淹没信息快速提取模型.首先,利用灾中第一时间获取的COSMOGSkyMed雷达影像,采用面向对象的方法提取出洪灾发生时的水域空间信息;其次,利用灾前SPOTG5高分辨率光学影像,采用多光谱影像波段运算和决策树分类的思想提取出常态下的水域空间信息;最后,对灾中雷达影像COSMOGSkyMed提取的水体和灾前光学影像SPOTG5提取的水体进行空间差值运算,得到洪水淹没范围信息,并利用洪水当天拍摄的无人机遥感影像对结果进行精度评价.将该模型应用于2013年浙江余姚水灾,监测结果表明:在洪水发生后,能够快速获取淹没范围空间信息,并且提取精度达到93.7%,为洪灾的防治以及抗洪抢险救灾工作提供强有力的技术支撑和基础数据信息.

关键词: COSMOGSkyMedSPOTG5洪水淹没范围面向对象差值运算    
Abstract:

The flood is one of the most frequent natural disasters in our country,and how to get flooded areas quickly and accurately is of great significance in the disaster relief work.At present,the satellite remote sensing technology has been widely used on the study of floods information extraction.Different remote sensing data sources have their own advantages and disadvantages in floods information extraction,so this paper synthetically studies superiority and inferiority of the radar image and the visible light image,modeling floods information quick extraction based on multi\|source remote sensing data.First of all,extract the spatial information of water on the COSMO\|SkyMed radar image during floods using the object\|oriented method;Secondly,extract the spatial information of normal water on the SPOT\|5 high resolution optical image before floods combining band math of the multispectral image with decision tree classification;Finally,the flood submerging range is obtained by using differential technology of water spatial information extracted from SPOT\|5 before floods and COSMO\|SkyMed during floods,and then assess accuracy of final results using UAV(Unmanned Aviation Vehicle) remote sensing images taken on the same day of the COSMO\|SkyMed radar image.Applied to Yuyao's floods in Zhejiang in 2013,this model is able to get floods submerging scope quickly,and the extracting accuracy reaches 93.7%.Furthermore,the model will provide strong technical support and basic data information for flood control and flood fighting and disaster relief work.

Key words: COSMO\    SkyMed;SPOT\    5;Flood submerging range;Object\    oriented;Difference operation
收稿日期: 2015-04-02 出版日期: 2016-07-19
:  TP79   
基金资助:

浙江省公益技术研究社会发展项目(2014C33049),国家863计划(2013AA12A402、2015AA7015096),杭州市科技发展计划(20150533B04)资助.

通讯作者: 刘 婷(1985-),女,江西高安人,讲师,主要从事空间数据挖掘研究.Emailyats521@163.com   
作者简介: 王嘉芃(1991-),女,山东荣成人,硕士研究生,主要从事InSAR数据处理方面的研究.Email:361608279@qq.com.
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
王嘉芃
刘婷
俞志强
胡潭高
张登荣
寻丹丹
王冬海

引用本文:

王嘉芃,刘婷,俞志强,胡潭高,张登荣,寻丹丹,王冬海. 基于COSMOGSkyMed和SPOTG5的城镇洪水淹没信息快速提取研究[J]. 遥感技术与应用, 2016, 31(3): 564-571.

Wang Jiapeng,Liu Ting,Yu Zhiqiang,Hu Tangao,Zhang Dengrong,Xun Dandan,Wang Donghei. A Research on Town Flood Information Rapid Extraction based on COSMO-SkyMed and SPOT-5. Remote Sensing Technology and Application, 2016, 31(3): 564-571.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2016.3.0564        http://www.rsta.ac.cn/CN/Y2016/V31/I3/564

[1]SanyalJ,Lu X X.Application of Remote Sensing in Flood Management with Special Reference to Monsoon Asia:A Review[J].Natural Hazards,2004,(33):283-301.

[2]Liu Tong,Yan Tianchi.Main Meteorological Disasters in China and Their Economic Losses[J].Journal of Natural Disasters,2011,20(2):90-95.[刘彤,闫天池.我国的主要气象灾害及其经济损失[J].自然灾害学报,2011,20(2):90-95.]

[3]Yang Cunjian,Zhou Chenghu.Application of Complementary Information of RADARSAT SWA SAR and Landsat TM in Deciding the Flood Extent[J].Journal of Natural Disasters,2001,10(3):43-50.[杨存建,周成虎.利用RADARSAT SWA SAR 和Landsat TM 的互补信息确定洪水水体范围[J].自然灾害学报,2001,10(3):43-50.]

[4]Dai Changda,Tang Lingli,Chen Gang,et al.The Theory and Practice on Monitoring and Assessment of Forest Fire,Forest Insect and Flood Damage by TM Imagery[J].Remote Sensing of Environment,1993,8(2):107-110.[戴昌达,唐伶俐,陈刚,等.应用TM图像监测及评估林火,虫灾和洪涝灾害的理论与实践[J].环境遥感,1993,8(2):107-110.]

[5]Sheng Yongwei,Xiao Qianguang,Chen Weiying.Application of FY-1B Meteorological Satellite Data to Monitor the Flood Disaster in Huaihe River Basin in Summer,1991[J].Remote Sensing of Environment,1994,9(3)228-233.[盛永伟,肖乾广,陈维英.应用FY-1B气象卫星监测1991年江淮洪水的研究[J].环境遥感,1994,9(3) 228-233.]

[6]Zhou Chenghu,Du Yunyan,Luo Jiancheng.A Description Model based on Knowledge for Automatically Recognizing Water from NOAA/AVHRR[J].Journal of Natural Disasters ,1997,6(4)100-108.[周成虎,杜云艳,骆剑承.基于知识的AVHRR影像的水体自动识别方法与模型研究[J].自然灾害学报,1997,6(4)100-108.]

[7]Yang Cunjian,Wei Yiming,Chen Deqing.Investigation on Extracting the Flood Inundation Area from JERS-1 SAR Data[J].Journal of Natural Disasters,1998,7(3)43-50.[杨存建,魏一明,陈德清.基于星载雷达的洪水灾害淹没范围获取方法探讨[J].自然灾害学报,1998,7(3)43-50.]

[8]Tian Yugang,Liao Xiaolu,Zhang Changxing.Method on Crop Inundated Time Extraction after Rainstorm Using Time Series MODIS Images[J].Remote Sensing Technology and Application,2012,27(5):778-783.[田玉刚,廖小露,张长兴.基于时间序列MODIS影像的暴雨后作物淹没历时提取方法[J].遥感技术与应用,2012,27(5):778-783.]

[9]Xu Chuan,Hua Feng,Kui Haigang,et al.Automatic Water Segmentation Method in SAR Images Using Multi-scale Level Set[J].Geomatics and Information Science of Wuhan University,2014,39(1):27-31.[徐川,华凤,晆海刚,等.多尺度水平集SAR影像水体自动分割方法[J].武汉大学学报:信息科学版,2014,39(1):27-31.]

[10]Luo Hua,Lei Bin,Hu Yuxin.An Extraction and Identification Method of Water and Shadow for Airborne InSAR[J].Remote Sensing Technology and Application,2014,29(2):258-263.[罗华,雷斌,胡玉新.一种机载InSAR水体阴影的提取和识别方法[J].遥感技术与应用,2014,29(2):258-263.]

[11]Wang Yafei,Cheng Liang,Li Manchun,et al.Extraction of Water Areas based on Similarity Analysis Using Pixel-level SAR Image Time Series[J].Remote Sensing for Land and Resources,2014,26(3):67-73.[王亚飞,程亮,李满春,等.基于像元级SAR图像时间序列相似性分析的水体提取[J].国土资源遥感,2014,26(3):67-73.]

[12]Matgen P,Schumann G,Henry J B,et al.Integration of SAR-derived River Inundation Areas,High-precision Topographic Data and A River Flow Model Toward Near Real-time Flood Management[J].International Journal of Applied Earth Observation and Geoinformation,2007,9:247-263.

[13]Nataliia K,Andrii S,Serhiy S.Grid System for Flood Extent Extraction from Satellite Images[J].Earth Science Information,2008,1:105-117.

[14]Matgen P,Hostache R,Schumann G,et al.Towards an Automated SAR-based Flood Monitoring System Lessons Learned from Two Case Studies[J].Physics and Chemistry of the Earth,2011,36:241-252. 

[15]Claudia K,Guo H D,Juliane H,et al.Flood Mapping and Flood Dynamics of the Mekong Delta Envisat-Asar-WSM based Time Series Analyses[J].Remote Sensing,2013,5(2):687-715.

[16]Biswajeet P,Ulrike H,Tehrany M S,et al.An Easy to Use ArcMap based Texture Analysis Program for Extraction of Flooded Areas from TerraSAR-X Satellite Image[J].Computers and Geosciences,2014,63:34-43.

[17]Ward D P,Petty A,Setterfield S A,et al.Floodplain Inundation and Vegetation Dynamics in the Alligator Rivers Region (Kakadu) of Northern Australia Assessed Using Optical and Radar Remote Sensing[J].Remote Sensing of Environment,2014,147:43-55.

[18]Li N,Wang R,Liu Y B,et al.Robust River Boundaries Extraction of Dammed Lakes in Mountain Areas after Wenchuan Earthquake from High Resolution SAR Images Combining Local Connectivity and ACM[J].Journal of Photogrammetry and Remote Sensing,2014,9491-101.

[19]Blanco-Vogt A,Schanze J.Assessment of the Physical Flood Susceptibility of Buildings on A Large Scale-conceptual and Methodological Frameworks[J].Natural Hazards and Earth System Sciences,2014,14:2105-2117.

[20]Powell S J,Jakeman A,Croke B.Can NDVI Response Indicate the Effective Flood Extent in Macrophyte Dominated Floodplain Wetlands?[J].Ecological Indicators,2014,45:486-493.

[21]Tsanis I K,Seiradakis K D,Daliakopoulos I N,et al.Assessment of GeoEye-1 Stereo-pair-generated DEM in Flood Mapping of an Ungauged Basin[J].Journal of Hydroinformatics,2014,16:1-18.

[22]Manavalana R.DEM and SAR Image based Flood Feature Extraction Techniques to Map the Deep and Shallow Flood Inundated Regions of Known as well as Remote Disaster Regions[J].Geocarto International,2014,29(7)745-757.

[23]Dumitru C O,Cui S Y,Faur D,et al.Data Analytics for Rapid MappingCase Study of a Flooding Event in Germany and the Tsunami in Japan Using Very High Resolution SAR Images[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2014,8(1):114-129.

[24]Elbialy S,Mahmoud A,Pradhan B,et al.Application of Spaceborne Synthetic Aperture Radar Data for Extraction of Soil Moisture and Its Use in Hydrological Modelling at Gottleuba Catchment,Saxony,Germany[J].Journal of Flood Risk Management,2014,7(2):159-175.

[25]Zheng Wei,Liu Chuang,Cao Yungang,et al.Extracting the Flood Inundated Area based on ASAR and TM Image[J].Science of Surveying and Mapping,2007,32(5):180-181.[郑伟,刘闯,曹云刚,等.基于ASAR与TM图像的洪水淹没范围提取[J].测绘科学,2007,32(5):180-181.]

[26]Senthilnath J,Vikram S H,Ritwik R,et al.Integration of Speckle De-noising and Image Segmentation Using Synthetic Aperture Radar Image for Flood Extent Extraction[J].Journal of Earth System Science,2013,122:559-572.

[27]Pulvirenti L,Chini M,Pierdicca N,et al.Flood Monitoring Using Multi-temporal COSMO-SkyMed Data Image Segmentation and Signature Interpretation[J].Remote Sensing of Environment,2011,115:990-1002.

[28]Shen Jinxiang,Yang Liao,Chen Xi,et al.A Method for Object-oriented Automatic Extraction of Lakes in the Mountain Area from Remote Sensing Image[J].Remote Sensing for Land and Resources,2012,(3):84-91.[沈金祥,杨辽,陈曦,等.面向对象的山区湖泊信息自动提取方法[J].国土资源遥感,2012,(3):84-91.]

[29]ZhongY F,Zhao J,Zhang L P,et al.A Hybrid Object-oriented Conditional Random Field Classification Framework for High Spatial Resolution Remote Sensing Imagery[J].IEEE Transactions on Geoscience and Remote Sensing,2014,52(11):7023-7037.

[30]Jiao X F,Kovacs J M,Shang J L,et al.Object-oriented Crop Mapping and Monitoring Using Multi-temporal Polarimetric Radarsat-2 Data[J].Journal of Photogrammetry and Remote Sensing,2014,96:38-46.

[31]Deng Shubin.Remote Sensing Image Processing Method of ENVI[M].Beijing:Science Press,2010.[邓书斌.ENVI遥感图像处理方法[M].北京:科学出版社,2010.]

[32]Hao Lüyuan.A Research on High Resolution Remote Sensing Images Object-oriented Classification based on Texture Analysis[D].Beijing:Beijing Normal University,2014.[郝虑远.基于纹理分析的高分辨率影像面向对象分类研究[D].北京:北京师范大学,2014.]

[33]Wang Qingqing,Yu Ming.Study on Information Extraction of Water Body based on Simple Ratio of Water Index (SRWI)[J].Journal of Fujian Normal University:Natural Science Edition,2014,30(1):39-44.[王晴晴,余明.基于简单比值型水体指数(SRWI)的水体信息提取研究[J].福建师范大学学报:自然科学版,2014,30(1):39-44.]

[34]Zhou Yi,Xie Guanglei,Wang Shixin,et al.Information Extraction of Thin Rivers around Built-up Lands with False NDWI[J].Journal of Geo-information Science,2014,16(1):102-107.[周艺,谢光磊,王世新,等.利用伪归一化差异水体指数提取城镇周边细小河流信息[J].地球信息科学学报,2014,16(1):102-107.]

[35]Zhu Baoshan,Zhang Shaohua,Xu Dalong,et al.Comprehensive Water Index and Its Application[J].Journal of Geomatics Science and Technology,2013,30(1):19-23.[朱宝山,张绍华,徐大龙,等.综合水体指数及其应用[J].测绘科学技术学报,2013,30(1):19-23.]

[36]Shen Zhanfeng,Xia Liegang,Li Junli,et al.Automatic and High-precision Extraction of Rivers from Remotely Sensed Images with Gaussian Normalized Water Index[J].Journal of Image and Graphics,2013,18(4):421-428.[沈占锋,夏列钢,李均力,等.采用高斯归一化水体指数实现遥感影像河流的精确提取[J].中国图象图形学报,2013,18(4):421-428.]

[37]Yang Shuwen,Li Yikun,Liu Tao,et al.A New Automatic Water Body Feature Extraction Method based on SPOT5 Images[J].Geomatics and Information Science of Wuhan University,2015,40(3):308-314.[杨树文,李轶鲲,刘涛,等.基于SPOT5影像自动提取水体的新方法[J].武汉大学学报(信息科学版),2015,40(3):308-314.]

[38]Safavian S R,Landgrebe D.A Survey of Decision Tree Classifer Methodology[J].IEEE Transaction System Man Cybern,1991,21:660-674.

[39]Sun Jiabing.Principles and Applications of Remote Sensing[M].Wuhan:Wuhan University Press,2011.[孙家炳.遥感原理与应用[M].武汉:武汉大学出版社,2011.]


 

[1] 闫鹏飞,明冬萍. 尺度自适应的高分辨率遥感影像分水岭分割方法[J]. 遥感技术与应用, 2018, 33(2): 321-330.
[2] 江东,陈帅,丁方宇,付晶莹,郝蒙蒙. 基于面向对象的遥感影像分类研究——以河北省柏乡县为例[J]. 遥感技术与应用, 2018, 33(1): 143-150.
[3] 田峰,陈冬花,黄新利,李虎,姚国慧. 基于形态学阴影指数的高分二号影像建筑物高度估计#br#[J]. 遥感技术与应用, 2017, 32(5): 844-850.
[4] 林齐根,邹振华,祝瑛琦,王瑛. 基于光谱、空间和形态特征的面向对象滑坡识别[J]. 遥感技术与应用, 2017, 32(5): 931-937.
[5] 姬忠林,张月平,李乔玄,刘绍贵,李淑娟,任红艳. 基于GF-1影像的冬小麦和油菜种植信息提取[J]. 遥感技术与应用, 2017, 32(4): 760-765.
[6] 王苏芸,孙中昶,郭华东,申维. 基于面向对象的东营市城乡建设用地信息提取[J]. 遥感技术与应用, 2017, 32(4): 780-786.
[7] 施佩荣,陈永富,刘华,吴云华,魏新,钟泽兵. 基于改进的面向对象遥感影像分类方法研究—以西藏米林县典型林区为例[J]. 遥感技术与应用, 2017, 32(3): 466-474.
[8] 姜萍,刘修国,陈启浩,邵芳芳. 利用多尺度SVM-CRF模型的极化SAR图像建筑物提取[J]. 遥感技术与应用, 2017, 32(3): 475-482.
[9] 朱钟正,陈玉福,朱文泉,郑周涛. 适用于多目标遥感自动解译的最佳专题指数筛选[J]. 遥感技术与应用, 2017, 32(3): 564-574.
[10] 郝泷,陈永富,刘华,朱雪林,达哇扎西,李伟娜. 基于纹理信息CART决策树的林芝县森林植被面向对象分类[J]. 遥感技术与应用, 2017, 32(2): 386-394.
[11] 邓滢,张红,王超,刘萌. 结合纹理与极化分解的面向对象极化SAR水体提取方法[J]. 遥感技术与应用, 2016, 31(4): 714-723.
[12] 王娟,廖静娟,沈国状,许涛. 基于面向对象技术的鄱阳湖湿地地物分类研究[J]. 遥感技术与应用, 2016, 31(3): 543-550.
[13] 宋亚婷,江东,黄耀欢,万华伟. 基于面向对象方法的露天煤矿用地类型提取优先级分析[J]. 遥感技术与应用, 2016, 31(3): 572-579.
[14] 林辉,柯长青. COSMOGSkyMed数据在常州市地表形变监测中的应用[J]. 遥感技术与应用, 2016, 31(3): 599-606.
[15] 满卫东,李春景,王宗明,贾明明,毛德华,刘明月,路春燕. 基于面向对象分类方法的乌苏里江流域中俄跨境区域湿地景观动态研究[J]. 遥感技术与应用, 2016, 31(2): 378-387.