MyJournals Home  

RSS FeedsRemote Sensing, Vol. 9, Pages 313: Flood Monitoring Using Satellite-Based RGB Composite Imagery and Refractive Index Retrieval in Visible and Near-Infrared Bands (Remote Sensing)

 
 

27 march 2017 12:49:54

 
Remote Sensing, Vol. 9, Pages 313: Flood Monitoring Using Satellite-Based RGB Composite Imagery and Refractive Index Retrieval in Visible and Near-Infrared Bands (Remote Sensing)
 


Satellite remote sensing provides significant information for the monitoring of natural disasters. Recently, on a global scale, floods have been increasing both in frequency and in magnitude. In order to map the inundation area, flooding events are investigated using unique RGB composite imagery based on the MODIS surface reflectance (MOD09GA) 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 ?m), band 5 (1.24 ?m), and band 2 (0.86 ?m) 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 25 October 2015 along the Pampanga River in the Philippines, and on 28 July 2016 along the Poyang and Dongting Lakes in China. In the case of the Pampanga River, the inundated areas were estimated with surface reflectance (R) thresholds of 0.0


 
113 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 9, Pages 311: Fuzzy AutoEncode Based Cloud Detection for Remote Sensing Imagery (Remote Sensing)
Remote Sensing, Vol. 9, Pages 312: Deep Learning Approach for Car Detection in UAV Imagery (Remote Sensing)
 
 
blog comments powered by Disqus


MyJournals.org
The latest issues of all your favorite science journals on one page

Username:
Password:

Register | Retrieve

Search:

Physics


Copyright © 2008 - 2024 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Nachrichten