Accuracy Assessment of different classifiers for Sustainable Development in Landuse and Landcover mapping using Sentinel SAR and Landsat-8 data

Kanmani, K. and Padmanabhan, Vasanthi and Pari, P. (2023) Accuracy Assessment of different classifiers for Sustainable Development in Landuse and Landcover mapping using Sentinel SAR and Landsat-8 data. EAI Endorsed Transactions on Energy Web.

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Abstract

Sentinel satellites make use of Synthetic Aperture Radar (SAR) which produces images with backscattered signals at fine spatial resolution from 10 m to 50 m. This study is mainly focused on evaluating and assessing the accuracy of various supervised classifiers like Random Forest classifier, Minimum

Item Type: Article
Date Deposited: 04 Mar 2026 16:44
Last Modified: 11 Apr 2026 06:22
URI: http://eprints.eai.eu/id/eprint/45112

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