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Utilizing Satellite Imagery for Flood Monitoring in Urban Regions

  • Conference paper
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Fourth International Conference on Image Processing and Capsule Networks (ICIPCN 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 798))

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Abstract

According to the report, billions of people are affected by floods as it is a natural hazard caused by heavy rainfall or glacier melting. Floods occur when there is an overflow of water bodies like rivers, lakes, or oceans, in which there is a heavy flow of water that enters cities and villages causing lots of damage to homes and businesses. To decrease the impact of floods and decrease the loss of life and property, it is important to use the technology available to us to detect the flood-affected areas. But before using the technologies, extraction of water bodies from remote sensing areas is an important task that is mostly done by using a deep learning network for extraction of water bodies. In this paper, we have surveyed the previous research papers which talk about various techniques to predict the condition of water bodies from satellite-captured images and further use it to detect floods. In this paper, we have written the survey table about the accuracy of the techniques used in the paper and a summary of that paper.

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Author information

Authors and Affiliations

  1. JSPM’s Rajarshi Shahu College of Engineering, Pune, Maharashtra, 411033, India

    Priyanka Sakpal, Shashank Bhosagi, Kaveri Pawar, Prathamesh Patil & Pratham Ghatkar

Authors
  1. Priyanka Sakpal
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  2. Shashank Bhosagi
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  3. Kaveri Pawar
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  4. Prathamesh Patil
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  5. Pratham Ghatkar
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Corresponding author

Correspondence to Priyanka Sakpal .

Editor information

Editors and Affiliations

  1. Department of Electronics and Computer Engineering, Pulchowk Campus, Institute of Engineering, Tribhuvan University, Lalitpur, Nepal

    Subarna Shakya

  2. Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

    João Manuel R. S. Tavares

  3. Universidad de Castilla-La Mancha, Albacete, Albacete, Spain

    Antonio Fernández-Caballero

  4. Department of Computer Science, International Hellenic University, Kavala, Greece

    George Papakostas

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Sakpal, P., Bhosagi, S., Pawar, K., Patil, P., Ghatkar, P. (2023). Utilizing Satellite Imagery for Flood Monitoring in Urban Regions. In: Shakya, S., Tavares, J.M.R.S., Fernández-Caballero, A., Papakostas, G. (eds) Fourth International Conference on Image Processing and Capsule Networks. ICIPCN 2023. Lecture Notes in Networks and Systems, vol 798. Springer, Singapore. https://doi.org/10.1007/978-981-99-7093-3_6

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