Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/17616
Title: Monitoring flash floods over the Thar and Negev deserts using remote sensing
Authors: Goyal, Manish Kumar
Rakkasagi, Shivukumar
Issue Date: 2025
Publisher: SPIE
Citation: Isaacson, S., Ronen, N., Chen, E., Blumberg, D. G., Ravan, S. K., Goyal, M. K., Rakkasagi, S., & Maman, S. (2025). Monitoring flash floods over the Thar and Negev deserts using remote sensing. Proceedings of SPIE - The International Society for Optical Engineering, 13816. https://doi.org/10.1117/12.3073713
Abstract: Flash floods represent a significant and escalating global threat, causing substantial damage to infrastructure and loss of life. Arid regions, characterized by their sparse vegetation and limited water resources, are especially vulnerable to these flash floods, which can severely impact local populations and fragile ecosystems. As a result, there is a need for efficient flash flood monitoring systems that can improve prediction and support more effective management of water resources in regions that are at high risk. Traditional monitoring methods, such as ground-based hydrometric stations, are often insufficient due to their limited spatial coverage, highlighting the need for more comprehensive approaches. This research addresses these challenges by developing a methodology to monitor flash flood events in arid areas using remote sensing data analysis. The goal is to map and create databases of flash flood distributions, particularly in regions where ground-based data are lacking. The project uses optical and Synthetic Aperture Radar (SAR) satellite data to detect changes in soil moisture signal remaining after flash flood events, focusing on the arid regions of India and Israel, where flash floods significantly affect local communities and the environment. Change detection methods are employed to map active and inactive channels following storms, utilizing the short-wave infrared (SWIR) spectral indices. Additionally, SAR data, which is capable of penetrating cloud cover, is to be integrated with SWIR values. © © 2025 Society of Photo-Optical Instrumentation Engineers (SPIE).
URI: https://dx.doi.org/10.1117/12.3073713
https://dspace.iiti.ac.in:8080/jspui/handle/123456789/17616
ISBN: 9781510692657
9781510690561
9781510693302
9781510692251
9781510692275
9781510693081
9781510691001
9781510690844
9781510688728
9781510688629
ISSN: 0277-786X
Type of Material: Conference Paper
Appears in Collections:Department of Civil Engineering

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