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. Issue 26 (13th December 2022)

• Record Type: Journal Article
• Authors: Kolli, Meena Kumari; Opp, Christian; Karthe, Daniel; Pradhan, Biswajeet
• Is Part Of: Geocarto international. Volume 37:Issue 26(2023)
• Page Start: 11173
• Page End: 11189
• Publication Date: 2022-12-13
• Subjects: Google Earth Engine -- Canny Edge-Otsu threshold -- Sentinel-1 -- emote sensing -- image segmentation; Remote sensing -- Periodicals; Geographic information systems -- Periodicals; Geology -- Periodicals; Cartography -- Periodicals; 621.3678
• DOI: 10.1080/10106049.2022.2046872
• Languages: English
• ISSNs: 1010-6049

Abstract

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.