Mapping Flood Risk Using Sentinel-1 Data: A Case Study of Niamey, Niger

Bassirou, Hassane, Gnazou, Masamaéya D.-T, Seidou Sanda, Ibrah and Cheo, Ambe Emmanuel, (2022). Mapping Flood Risk Using Sentinel-1 Data: A Case Study of Niamey, Niger. International Journal of Water Resources Engineering, 8(2), 14-26

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  • Sub-type Journal article
    Author Bassirou, Hassane
    Gnazou, Masamaéya D.-T
    Seidou Sanda, Ibrah
    Cheo, Ambe Emmanuel
    Title Mapping Flood Risk Using Sentinel-1 Data: A Case Study of Niamey, Niger
    Appearing in International Journal of Water Resources Engineering
    Volume 8
    Issue No. 2
    Publication Date 2022
    Place of Publication Noida
    Publisher JournalsPub
    Start page 14
    End page 26
    Language eng
    Abstract Flood events are recognized to be one of the most among the most catastrophic disaster in the world, with a consequential loss of lives, goods, and services. Factors such as rapid urbanization, lack of proper infrastructure development, insufficient consideration of the environment, and the effect of climate change have made floods even more destructive, particularly for developing countries that lack the means to respond appropriately during such events. The impacts of flood disasters on people and the local economy are more severe in urban areas than in rural areas. Niamey has experienced frequent devastating flooding events in recent times, particularly in 2020. For this reason, producing a flood map for Niamey is crucial to see which places will be affected. This study aims to map potential flood areas after the 2020 flash flood using unsupervised classified sentinel 1 SAR images from the European Space Agency. For the research purpose, we used the Digital Earth Africa Sandbox platform to get and analyze the result. The inundated area map demonstrates that the flood affected approximately 149.541 km2 , the Built-up area highly prone to flooding: 18.325 km2 , the cropland area highly prone to flooding: 26.252 km2 , the Built-up area medium prone to flooding: 79.318 km2 , Cropland area medium prone to flooding: 13.26 km2 .
    UNBIS Thesaurus REMOTE SENSING
    Keyword Flood map
    Sentinal-1
    Digital Earth Africa
    Niamey
    Copyright Holder JournalsPub
    Copyright Year 2022
    Copyright type All rights reserved
    ISSN e2456-1606
    DOI 10.37628/jwre.v8i2.795
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    Created: Wed, 06 Dec 2023, 20:03:58 JST by Aarti Basnyat on behalf of UNU EHS