FLASH FLOOD MAPPING FOR MOUNTAIN STREAMS USING HIGH-RESOLUTION ALOS-2 DATA

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Kwak, Y-J^1¹ 

[1] International Centre for Water Hazard and Risk Management (ICHARM-UNESCO), Public Works Research Institute (PWRI) 1-6 Minamihara, Tsukuba, Japan^1

关键词: ALOS-2;    Capacity building;    Flood detection;    Valley floodplain;   

DOI  :  10.5194/isprs-archives-XLII-3-W4-307-2018

学科分类：地球科学(综合)

来源: Copernicus Publications

【 摘 要 】

This paper introduces a practical way to improve the risk management capacity and resilience of communities by utilizing a prompt flash flood map produced from very high spatial resolution ALOS-2 data. An improved flood detection algorithm is proposed to achieve a better discrimination capacity to identify flooded areas in the valley floodplain based on cluster analysis by verifying training sites and understanding pixel-based backscattering behaviour focusing on surface roughness changes caused by floodwater and floating debris, i.e., mud flow with gravels, stones and uprooted trees. The results show the possibility of a rapid, straightforward change detection approach to flood mapping, in particular to identify and classify floodwaters, damaged buildings, damaged rice fields, and stacks of driftwood through evidenced-based investigation.

【 授权许可】

CC BY