洪水灾害会对社会、经济、环境造成巨大损失,洪水淹没范围的确定是抗灾救灾决策必不可少的工作.遥感技术,特别是有着全天时、全天候、高分辨率特点的合成孔径雷达(SAR)是洪水灾害灾情评估的有力工具.Sentinel-1A作为欧洲宇航局(ESA)哥白尼计划(Copernicus Programme)发射升空第一颗环境监测卫星,意义重大.目前,国内还没有研究利用Sentinel-1卫星数据的相关文献.本文以2014年12月斯里兰卡遭受洪灾前后Sentinel-1A获取的影像为例,运用阈值法和RGB波段组合的方法,快速有效地提取出了洪水淹没范围.本研究为接下来对Sentinel-1卫星数据在洪水灾害评估中的研究利用提供了参考.
Flood has huge impact on society, economy as well as environment. Extracting the flood-inundated area is an essential work for disaster management. Remote sensing technique, especially, Synthetic Aperture Radar (SAR) is a valuable tool in assessing damage of flood with its ability to acquire images in bad weather conditions and night, and with high resolution. Sentinel-1A, being as the first satellite in ESA's Copernicus Programme for monitoring environment, is great meaningful. But there was no any literature in China about useing of Sentinel-1 data. This study used the SAR data from Sentinel -1A before and during the flood in Sri Lanka, with threshold method and RGB band combination, extracted the flood-inundated area fast and effectively, which could be a reference for future study to use of Sentinel-1 data in flood impact assessment.