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Proceedings Paper

Flood monitoring technique based on RGB composite imagery using MODIS data
Author(s): H.-J. Ban; Y.-J. Kwon; S. Hong
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Paper Abstract

In order to map the inundation area, flooding events are investigated using unique RGB composite imagery based on the MODIS surface reflectance data obtained from the Terra satellite, which is used to visualize and analyze these events. This study proposes using an RGB combination of MODIS band 6 (1.64 μm), band 5 (1.24 μm), and band 2 (0.86 μm) data from the visible and the near-infrared spectral ranges to map flood events. The flooding events that were investigated in this study occurred on October 25, 2015 along the Pampanga River in the Philippines. This estimate was indirectly compared with the results obtained from SENTINEL-1A Synthetic Aperture Radar (SAR) data. In addition, RGB imagery results using MODIS 6-5-2 bands were supported by the refractive index retrieval along the inundation area, and the derived technique is applied to the data from Himawari-8 satellite. This study shows that the RGB composite techniques using advanced sensors with more bands and higher spatio-temporal resolutions and supported by the refractive index retrieval method, are useful for estimating flood events.

Paper Details

Date Published: 2 November 2017
PDF: 8 pages
Proc. SPIE 10421, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX, 1042103 (2 November 2017); doi: 10.1117/12.2277910
Show Author Affiliations
H.-J. Ban, Sejong Univ. (Korea, Republic of)
Y.-J. Kwon, Sejong Univ. (Korea, Republic of)
S. Hong, Sejong Univ. (Korea, Republic of)

Published in SPIE Proceedings Vol. 10421:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX
Christopher M. U. Neale; Antonino Maltese, Editor(s)

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