Estimating floodwater from MODIS time series and SRTM DEM data

被引：10

作者：

Kwak Y. ^{[1
]}

Park J. ^{[2
]}

Fukami K. ^{[3
]}

机构：

[1] International Centre for Water Hazard and Risk Management (ICHARM) Under the Auspices of UNESCO, Public Works Research Institute (PWRI), 1-6 Minamihara, Tsukuba, Ibaraki

[2] Tokyo University of Information Sciences, Chiba

[3] National Institute for Land and Infrastructure Management (NILIM), Ministry of Land, Infrastructure, Transport and Tourism (MLIT), 1 Asahi, Tsukuba, Ibaraki

来源：

Artificial Life and Robotics | 2014年 / 19卷 / 1期

基金：

日本学术振兴会;

关键词：

DEM; Flood mapping; Floodwater; MLSWI; MODIS;

D O I：

10.1007/s10015-013-0140-y

中图分类号：

学科分类号：

摘要：

Real-time flood mapping with an automatic flood-detection technique is important in emergency response efforts. However, current mapping technology still has limitations in accurately expressing information on flood areas such as inundation depth and extent. For this reason, the authors attempt to improve a floodwater detection method with a simple algorithm for a better discrimination capacity to discern flood areas from turbid floodwater, mixed vegetation areas, snow, and clouds. The purpose of this study was to estimate a flood area based on the spatial distribution of a nationwide flood from the Moderate Resolution Imaging Spectroradiometer (MODIS) time series images (8-day composites, MOD09A1, 500-m resolution) and a digital elevation model (DEM). The results showed the superiority of the developed method in providing instant, accurate flood mapping by using two algorithms, which modified land surface water index from MODIS image and eight-direction tracking algorithm based on DEM data. © 2013 ISAROB.

引用

页码：95 / 102

页数：7

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