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A Study of Flood Analysis for the Hydrological Flow Using Geoinformatics Technology

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Proceedings of International Conference on Communication and Computational Technologies (ICCCT 2024)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 1122))

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Abstract

Floods are a major cause of mortality, facility destruction, and serious economic impact on a country. It is a catastrophe, it would be difficult; the government, relevant groups, and the community must implement precautions to mitigate their destructive impacts. Emergency management organizations must execute actions before a flooding catastrophe to reduce risks and prepare an emergency reaction during this kind. To do this, the most cutting-edge technologies must be used to foresee calamities as fast as possible so that suitable reaction strategies may be developed before the calamity. Flooding is unpredictable and depends on meteorological and ecological variables, making it challenging to forecast. This classification system divides three types of remote sensing technologies—multispectral, radar, and coupled with GIS for integrating hydrological and hydraulic models to predict floods. Observing the high NDVI results ensures healthier vegetation, whereas the stressed vegetation carries lower NDVI values. Then, an approach for forecasting floods and a map has been proposed to fill the existing gaps. The results illustrate the NDVI in flood prediction.

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Authors and Affiliations

  1. Department of Civil Engineering, Vels Institute of Science Technology and Advanced Studies (VISTAS), Chennai, Tamil Nadu, India

    S. Aarthi & A. D. Sheena

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  1. S. Aarthi
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  2. A. D. Sheena
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Correspondence to A. D. Sheena .

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Editors and Affiliations

  1. Dept of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, Karnataka, India

    Sandeep Kumar

  2. Victorian Institute of Technology, Adelaide, VIC, Australia

    Saroj Hiranwal

  3. Department of Computer Engineering, National Institute of Technology, Kurukshetra, Haryana, India

    Ritu Garg

  4. Rajasthan Technical University, Kota, Rajasthan, India

    S.D. Purohit

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Aarthi, S., Sheena, A.D. (2025). A Study of Flood Analysis for the Hydrological Flow Using Geoinformatics Technology. In: Kumar, S., Hiranwal, S., Garg, R., Purohit, S. (eds) Proceedings of International Conference on Communication and Computational Technologies. ICCCT 2024. Lecture Notes in Networks and Systems, vol 1122. Springer, Singapore. https://doi.org/10.1007/978-981-97-7426-5_11

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