Mapping floods due to Hurricane Sandy using NPP VIIRS and ATMS data and geotagged Flickr imagery
作者机构:Department of Geography and Geoinformation ScienceGeorge Mason UniversityFairfaxVAUSA NOAA JPSS Program OfficeLanhamMDUSA
出 版 物:《International Journal of Digital Earth》 (国际数字地球学报(英文))
年 卷 期:2016年第9卷第5期
页 面:427-441页
核心收录:
学科分类:08[工学] 0708[理学-地球物理学] 082303[工学-交通运输规划与管理] 0835[工学-软件工程] 0704[理学-天文学] 0811[工学-控制科学与工程] 082302[工学-交通信息工程及控制] 0812[工学-计算机科学与技术(可授工学、理学学位)] 0823[工学-交通运输工程]
基 金:supported by the NOAA JPSS Program Office[grant number#NA12NES4400008] NASA Disaster Program[grant number#NNX12AQ74G]
主 题:coastal flood hurricane water fraction high-resolution flood mapping VIIRS ATMS
摘 要:In this study,we present an approach to estimate the extent of large-scale coastal floods caused by Hurricane Sandy using passive optical and microwave remote sensing *** approach estimates the water fraction from coarse-resolution VIIRS and ATMS data through mixed-pixel linear *** on the water fraction difference,using the physical characteristics of water inundation in a basin,the flood map derived from the coarse-resolution VIIRS and ATMS measurements was extrapolated to a higher spatial resolution of 30 m using topographic *** is found that flood map derived from VIIRS shows less inundated area than the Federal Emergency Management Agency(FEMA)flood map and the ground *** bias was mainly caused by the time difference in *** is because VIIRS can only detect flood under clear conditions,while we can only find some clear-sky data around the New York area on 4 November 2012,when most flooding water already ***,microwave measurements can penetrate through clouds and sense surface water bodies under clear-or-cloudy *** therefore developed a new method to derive flood maps from passive microwave ATMS *** evaluate the flood mapping method,the corresponding ground observations and the FEMA storm surge flooding(SSF)products are *** results show there was good agreement between our ATMS and the FEMA SSF flood areas,with a correlation of ***,we compared our results to geotagged Flickr contributions reporting flooding,and found that 95%of these Flickr reports were distributed within the ATMS-derived flood area,supporting the argument that such crowd-generated content can be valuable for remote sensing ***,the methodology presented in this paper was able to produce high-quality and high-resolution flood maps over largescale coastal areas.