Flood monitoring technique based on RGB composite imagery using MODIS data

H.-J. Ban; Y.-J. Kwon; S. Hong

doi:10.1117/12.2277910

2 November 2017 Flood monitoring technique based on RGB composite imagery using MODIS data

H.-J. Ban, Y.-J. Kwon, S. Hong

Proceedings Volume 10421, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX; 1042103 (2017) https://doi.org/10.1117/12.2277910
Event: SPIE Remote Sensing, 2017, Warsaw, Poland

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.

Conference Presentation

Citation Download Citation

H.-J. Ban, Y.-J. Kwon, and S. Hong "Flood monitoring technique based on RGB composite imagery using MODIS data", Proc. SPIE 10421, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX, 1042103 (2 November 2017); https://doi.org/10.1117/12.2277910

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