Mapping of Flood Areas Using Landsat with Google Earth Engine Cloud Platform

Mehmood, Hamid, Conway, Crystal and Perera, Duminda, (2021). Mapping of Flood Areas Using Landsat with Google Earth Engine Cloud Platform. Atmosphere, 12(7), 1-16

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  • Sub-type Journal article
    Author Mehmood, Hamid
    Conway, Crystal
    Perera, Duminda
    Title Mapping of Flood Areas Using Landsat with Google Earth Engine Cloud Platform
    Appearing in Atmosphere
    Volume 12
    Issue No. 7
    Publication Date 2021-07-03
    Place of Publication Basel
    Publisher MDPI
    Start page 1
    End page 16
    Language eng
    Abstract The Earth Observation (EO) domain can provide valuable information products that can significantly reduce the cost of mapping flood extent and improve the accuracy of mapping and monitoring systems. In this study, Landsat 5, 7, and 8 were utilized to map flood inundation areas. Google Earth Engine (GEE) was used to implement Flood Mapping Algorithm (FMA) and process the Landsat data. FMA relies on developing a “data cube”, which is spatially overlapped pixels of Landsat 5, 7, and 8 imagery captured over a period of time. This data cube is used to identify temporary and permanent water bodies using the Modified Normalized Difference Water Index (MNDWI) and site-specific elevation and land use data. The results were assessed by calculating a confusion matrix for nine flood events spread over the globe. The FMA had a high true positive accuracy ranging from 71–90% and overall accuracy in the range of 74–89%. In short, observations from FMA in GEE can be used as a rapid and robust hindsight tool for mapping flood inundation areas, training AI models, and enhancing existing efforts towards flood mitigation, monitoring, and management.
    Copyright Holder The Authors
    Copyright Year 2021
    Copyright type Creative commons
    DOI 10.3390/atmos12070866
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    Created: Fri, 05 Nov 2021, 10:14:09 JST by Anderson, Kelsey on behalf of UNU INWEH