| 1,106 | 13 | 264 |
| 下载次数 | 被引频次 | 阅读次数 |
洪涝灾害严重危害人类的生命和财产安全，洪涝灾害的应急监测对灾情评估具有重要意义。灾害发生时期往往伴随恶劣天气，针对洪涝灾害期间光学遥感数据使用受限问题，研究选取“7·20”重灾区(河南省鹤壁市浚县)灾害前后Sentinel-1、Sentinel-2多时相主被动遥感影像为数据源，有效提取洪水淹没范围，并对土地利用/覆盖类型受灾情况进行评估。首先，在对Sentinel-1A雷达数据进行多视、配准、地理编码等处理的基础上，进行阈值分割提取水体；然后，基于随机森林集成学习对灾前Sentinel-2光学影像进行地类提取；最后，结合GIS地理信息分析技术进行研究区乡镇淹没面积、淹没空间特征分析，并评估灾情影响。结果显示：(1)Sentinel-1雷达数据能够快速、有效提取受灾后水体面积，如监测到的2021年7月27日和8月8日水体面积分别为95.755 km2和103.368 km2。(2)Sentinel-2光学数据结合随机森林算法能够精确获取受灾前研究区土地利用/覆盖类型，精度达96.3%,能够为不同地类受灾评估提供有效支撑。(3)新镇、小河镇受灾最为严重，洪水面积均在34 km2以上，主要原因为上游泄洪、水满溢出河堤。研究结果表明，协同多时相Sentinel-1/2主被遥感影像能够在恶劣天气条件下有效提取水淹区域，可为应急救灾提供数据支持。
Abstract：The flood disaster is seriously threatening human community, so emergency monitoring of flood disasters is of great significance to disaster assessment. While the happening of flood disaster is often accompanied by severe weather, aiming at the problem that the use of optical remote sensing data is limited during flood disaster, the Sentinel-1 and Sentinel-2 multi-temporal active and passive remote sensing images before and after the disaster of seriously affected disaster-affected area(Xunxian County of Hebi City in Henan Province) of the Rainstorm on July 20 are taken as the data sources, so as to effectively extract the flood inundation range and then make a further assessment on the disaster-affected situations of land-use and cover-type. Firstly, the processes of multi-view, rectification, geocoding, etc. are performed on the Sentinel-1 A radar data for extracting water body by threshold segmentation; and then the extraction of land type before the disaster from the Sentinel-2 optical images is carried out based on the random forests ensemble-learning; finally, the inundated areas and the characteristics of the inundated space of the villages and towns within the study area are analyzed in combination with the GIS analysis technique. The results show that(1) Sentinel-1 radar data can quickly and effectively extract the area of water body after disaster, e.g. the water body areas monitored on July 27 and August 8, 2021 are 95.755 km2 and 103.368 km2 respectively;(2) Sentinel-2 optical data combined with random forest algorithm can accurately get the land-use/cover-type of the study area before disaster with the accuracy of 96.3%, and then can provide effective support for the disaster assessment of different land types;(3) the disasters are the most serious in Xinzhen Town and Xiaohezhen Town with the flooded area of over 34 km2, for which the main cause is upstream flood discharge and overflow of river embankment. The study result shows that the inundated areas under severe weather conditions can be effectively extracted with the collaborative processing of Sentinel-1 SAR and Sentinel-2 optical remote sensing data, from which the relevant data support can be provided for the emergency disaster relief concerned.
[1] 陈志国.高分辨率SAR卫星影像洪水区域提取应用研究[D].武汉：武汉大学，2017.CHEN Zhiguo.Study on flood area extraction from high resolution SAR satellite images[D].Wuhan:Wuhan University,2017.
[2] 王敬明，王世新，王福涛，等.基于Sentinel-1 SAR数据洪水淹没提取方法研究[J].灾害学，2021,36(4):214-220.WANG Jingming,WANG Shixin,WANG Futao,et al.Flood inundation region extraction method based on Sentinel-1 SAR data[J].Journal of Catastrophology,2021,36(4):214-220.
[3] 郑伟，刘诚.FY-3卫星洪涝灾害监测应用[J].上海航天，2017,34(4):73-78.ZHENG Wei,LIU Cheng.Application of flood disaster monitoring based on FY-3 satellite data[J].Aerospace Shanghai,2017,34(4):73-78.
[4] 李丹，吴保生，陈博伟，等.基于卫星遥感的水体信息提取研究进展与展望[J].清华大学学报(自然科学版),2020,60(2):147-161.LI Dan,WU Baosheng,CHEN Bowei,et al.Review of water body information extraction based on satellite remote sensing[J].Journal of Tsinghua University (Natural Science),2020,60(2):147-161.
[5] 王航，秦奋.遥感影像水体提取研究综述[J].测绘科学，2018,43(5):23-32.WANG Hang,QIN Fen.Summary of the research on water body extraction and application from remote sensing image[J].Science of Surveying and Mapping,2018,43(5):23-32.
[6] MCFEETERS K.The use of the Normalized Difference Water Index(NDWI)in the delineation of open water features[J].International Journal Of Remote Sensing,1996,17(7):1425-1432.
[7] 徐涵秋.利用改进的归一化差异水体指数(MNDWI)提取水体信息的研究[J].遥感学报，2005,9(5):589-595.XU Hanqiu.A Study on information extraction of water body with the Modified Normalized Difference Water Index(MNDWI)[J].Journal of Remote Sensing,2005,9(5):589-595.
[8] WANG X B,XIE S P,ZHANG X L,et al.A robust multi-band water index(MBWI) for automated extraction of surface water from Landsat 8 OLI imagery[ J].International Jourmal of Applied Earth Observation and Geoinformation,2018,68:73-91.
[9] WANG Z,LIU J,LI J,et al.Muli-spectral water index(MuWI):a native 10 m multi-spectral water index for accurate water mapping on Sentinel-2[J].Remote Sensing,2018,10(10):1643.
[10] LI L,SU H J,DU Q,et al.A novel surface water index using local background information for long term and large-scale Landsat images[J].ISPRS Journal of Photogrammetry and Remote Sensing,2021,172:59-78.
[11] 段秋亚，孟令奎，樊志伟，等.GF-1卫星影像水体信息提取方法的适用性研究[J].国土资源遥感，2015,27(4):79-84.DUAN Qiuya,MENG Lingkui,FAN Zhiwei,et al.Applicability of the water information extraction method based on GF-1 image[J].Remote Sensing for Land and Resources,2015,27(4):79-84.
[12] 沈聪颖，甘淑，李新澳，等.基于GF-5高光谱特征分析的水体提取方法研究[J].全球定位系统，2021,46(4):1-6.SHEN Congying,GAN Shu,LI Xinao,et al.Research on water extraction method based on GF-5 hyperspectral feature analysis[J].GNSS World of China,2021,46(4):1-6.
[13] 崔齐，王杰，汪闽，等.矢量约束的面向对象高分遥感影像水体提取[J].遥感信息，2018,33(4):115-121.CUI Qi,WANG Jie,WANG Min,et al.Water extraction from high-resolution remote sensing imagery based on vector data constraint and object-based image analysis[J].Remote Sensing Information,2018,33(4):115-121.
[14] 李加林，曹罗丹，浦瑞良.洪涝灾害遥感监测评估研究综述[J].水利学报，2014,45(3):253-260.LI Jialin,CAO Luodan,PU Ruiliang.Progresses on monitoring and assessment of flood disaster in remote sensing[J].Journal of Hydraulic Engineering,2014,45(3):253-260.
[15] ZHANG M,LI Z,TIAN B,et al.The backscattering characteristics of wetland vegetation and water-level changes detection using multi-mode SAR:A case study [J].International Journal of Applied Earth Observation and Geoinformation,2016,45:1-13.
[16] RAHMAN M R,THAKUR P K.Detecting,mapping and analysing of flood water propagation using synthetic aperture radar (SAR) satellite data and GIS:A case study from the Kendrapara District of Orissa State of India [J].The Egyptian Journal of Remote Sensing and Space Science,2017,21:S37-S41.
[17] SHU L,ZHOU G,LIU D,et al.On-board wavelet based change detection implementation of SAR flood image[C]//IEEE.IEEE International Geoscience and Remote Sensing Symposium.IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium.Japan:IEEE,2019:1502-1505.
[18] 陈玲艳，刘智，张红.基于水体散射特性的SAR图像水体检测[J].遥感技术与应用，2014,29(6):963-969.CHEN Lingyan,LIU Zhi,ZHANG Hong.SAR image water extraction based on scattering characteristics[J].Remote Sensing Technology and Application,2014,29(6):963-969.
[19] 谷鑫志，曾庆伟，谌华，等.高分三号影像水体信息提取[J].遥感学报，2019,23(3):555-565.GU Xinzhi,ZENG Qingwei,SHEN Hua,et al.Study on water information extraction using domestic GF-3 images[J].Journal of Remote Sensing,2019,23(3):555-565.
[20] 李景刚，黄诗峰，李纪人.ENVISAT卫星先进合成孔径雷达数据水体提取研究：改进的最大类间方差阈值法[J].自然灾害学报，2010,19(3):139-145.LI Jinggang,HUANG Shifeng,LI Jiren.Research on extraction of water body from ENVISAT SAR images:a modified Otsu threshold method[J].Journal of Natural Disasters,2010,19(3):139-145.
[21] 高长征，付晗，龚健.“文化驱动”视角下传统村落共生发展路径研究：以河南浚县5个传统村落为例[J].地域研究与开发，2021,40(2):169-173.GAO Changzheng,FU Han,GONG Jian.Research on the symbiotic development path of traditional villages from the perspective of“Culture Driven”:Taking five traditional villages in Xunxian County of Henan Province as an example[J].Areal Research And Development,2021,40(2):169-173.
[22] 孙亚勇，黄诗峰，李纪人，等.Sentinel-1A SAR 数据在缅甸伊洛瓦底江下游区洪水监测中的应用[J].遥感技术与应用，2017,32(2):282-288.SUN Yayong,HUANG Shifeng,LI Jiren,et al.The downstream flood monitoring application of Myanmar Irrawaddy River based on Sentinel-1A SAR[J].Remote Sensing Technology and Application,2017,32(2):282-288.
[23] 田颖，陈卓奇，惠凤鸣，等.欧空局哨兵卫星Sentinel-2A/B数据特征及应用前景分析[J].北京师范大学学报(自然科学版),2019,55(1):57-65.TIAN Ying,CHEN Zhuoqi,HUI Fengming,et al.ESA Sentinel-2A/B satellite characteristic and applications[J].Journal of Beijing Normal University(Natural Science),2019,55(1):57-65.
[24] 苏伟，张明政，蒋坤萍，等.Sentinel-2卫星影像的大气校正方法[J].光学学报，2018,38(1):322-331.SU Wei,ZHANG Mingzheng,JIANG Kunping,et al.Atmospheric correction method for Sentinel-2 Satellite imagery[J].Acta Optica Sinica,2018,38(1):322-331.
[25] BELGIUM M,DR?GU? L.Random forest in remote sensing:A review of applications and future directions[J].ISPRS journal of photogrammetry and remote sensing,2016,114:24-31.
[26] 刘毅，杜培军，郑辉，等.基于随机森林的国产小卫星遥感影像分类研究[J].测绘科学，2012,37(4):194-196.LIU Yi,DU Peijun,ZHENG Hui,et al.Classification of China small satellite remote sensing image based on random forests[J].Science of Surveying and Mapping,2012,37(4):194-196.
[27] 郭玉宝，池天河，彭玲，等.利用随机森林的高分一号遥感数据进行城市用地分类[J].测绘通报，2016(5):73-76.GUO Yubao,CHI Tianhe,PENG Ling,et al.Classification of GF-1 remote sensing image based on random forests for urban land-use[J].Bulletin of Surveying and Mapping,2012,37(4):194-196.
[28] MASON D C,GIUSTARINI L,GARCIA-PINTADO J,et al.Detection of flooded urban areas in high resolution synthetic aperture radar images using double scattering[J].International Journal of Applied Earth Observation and Geoinformation,2014,28:150-159.
[29] 贾诗超，薛东剑，李成绕，等.基于Sentinel-1数据的水体信息提取方法研究[J].人民长江，2019,50(2):213-217.JIA Shichao,XUE Dongjian,LI Chengrao,et al.Study on new method for water area information extraction based on Sentinel-1 data[J].Yangtze River,2019,50(2):213-217.
基本信息:
DOI：10.13928/j.cnki.wrahe.2022.09.003
中图分类号:P237;TV87
引用信息:
[1]孙书腾,刘培,王光彦.基于多时相主被动遥感协同处理的洪涝灾害应急监测[J],2022,53(09):25-35.DOI:10.13928/j.cnki.wrahe.2022.09.003.
基金信息:
热带海洋学院崖洲湾创新研究院开放课题资助(2022CXYKFKT03);; 国家自然科学基金项目(42011530174);; 海南省省本级项目(2021,2022)
2021-12-13
2021
2021-12-14
2021
1