Automatic extraction of large-scale aquaculture encroachment areas using Canny Edge Otsu algorithm in Google Earth Engine – the case study of Kolleru Lake, South India.

Kolli, Meena Kumari, Opp, Christian, Karthe, Daniel and Pradhan, Biswajeet, (2022). Automatic extraction of large-scale aquaculture encroachment areas using Canny Edge Otsu algorithm in Google Earth Engine – the case study of Kolleru Lake, South India.. Geocarto International, 37(26), 11173-11189

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  • Sub-type Journal article
    Author Kolli, Meena Kumari
    Opp, Christian
    Karthe, Daniel
    Pradhan, Biswajeet
    Title Automatic extraction of large-scale aquaculture encroachment areas using Canny Edge Otsu algorithm in Google Earth Engine – the case study of Kolleru Lake, South India.
    Appearing in Geocarto International
    Volume 37
    Issue No. 26
    Publication Date 2022-03-10
    Place of Publication UK
    Publisher Taylor&Francis Online
    Start page 11173
    End page 11189
    Language eng
    Abstract The aquaculture expansion has made significant contributions to global food security, socio-economic development and, if implemented sustainably, can help preserve stable coastal environments. This study explicitly details the rapid expansion of large-scale aquaculture growth across the Kolleru and Upputeru regions of South India. We developed a novel classification method for automated extraction of aquaculture ponds in the Kolleru zone using the Canny Edge-Otsu algorithm to segment and extract the ponds applied to SAR-VV images in Google Earth Engine. This approach enables the area estimation of dense aquaculture ponds are essential for monitoring and management purposes. The results indicated that this method could effectively map the aquaculture ponds and the overall accuracy achieved in 2020 for the Kolleru and Upputeru areas by 90.6% and 95.7%, respectively. The aquaculture maps of this study can help government organizations, resource managers, stakeholders, and decision-makers understand the dynamics and plan sustainable measures in this area.
    Keyword Google Earth Engine
    Canny Edge-Otsu threshold
    Sentinel-1
    emote sensing
    image segmentation
    Copyright Holder The Authors
    Copyright Year 2022
    Copyright type All rights reserved
    ISSN 1752-0762
    DOI https://doi.org/10.1080/10106049.2022.2046872
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    Created: Wed, 20 Sep 2023, 06:33:28 JST by Věra Greschner Farkavcová on behalf of UNU FLORES