DocumentCode :
744515
Title :
Rapid Damage Assessment of Rice Crop After Large-Scale Flood in the Cambodian Floodplain Using Temporal Spatial Data
Author :
Kwak, Youngjoo ; Shrestha, Badri Bhakta ; Yorozuya, Atsuhiro ; Sawano, Hisaya
Author_Institution :
Int. Centre for Water Hazard & Risk Manage. (ICHARM), Public Works Res. Inst. (PWRI), Tsukuba, Japan
Volume :
8
Issue :
7
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
3700
Lastpage :
3709
Abstract :
The objective of this study was to estimate rice crop damage over the entire Cambodia during a large flood event from July to November 2011. An integrated approach was applied to detect and monitor flood areas with flood depth and duration for near real-time rice crop damage estimation in 2011 by using MODIS time-series imagery. The combined data consists of developed MLSWI, EVI from MODIS, new FID from DEM, land use, and simplified empirical damage curves. These data are expected to play an important role in emergency response efforts and rapid risk assessment for high-risk flood areas in the Cambodian floodplain. A rice crop damage map will be generated, showing areas with different damage levels based on flood duration and floodwater depth, including 25% (8 days, below 1.5 m), 50% (8 days, over 1.5 m; 16 days, below 1.5 m), and 100% (16 days, over 1.5 m). The resulting map was validated and shows about 80% consistency with the government census based on field-scale investigation and survey.
Keywords :
crops; estimation theory; land use; risk management; time series; Cambodian floodplain; DEM; EVI; FID; MLSWI; MODIS time-series imagery; emergency response; empirical damage curves; land use; large-scale flood; rapid risk assessment; rice crop damage estimation; rice crop rapid damage assessment; temporal spatial data; time 16 day; time 8 day; Agriculture; Floods; Indexes; MODIS; Remote sensing; Rivers; Cambodian floodplain; MODIS; damage curves; large flood; rice crop damage;
fLanguage :
English
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher :
ieee
ISSN :
1939-1404
Type :
jour
DOI :
10.1109/JSTARS.2015.2440439
Filename :
7134747
Link To Document :
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