Accuracy assessment of relative and absolute water column correction methods for benthic habitat mapping in Parang Island

Hadi, A.A. and Wicaksono, P. (2021) Accuracy assessment of relative and absolute water column correction methods for benthic habitat mapping in Parang Island. In: IOP Conference Series: Earth and Environmental Science.

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Abstract

The condition of benthic habitats in optically shallow sea waters becomes important information in the inventory and processing of coastal resources. Remote sensing is effective and efficient in mapping benthic habitats. This study aims to apply absolute and relative water column correction methods in order to map benthic habitats on Parang Island using PlanetScope image. The benthic habitat classification scheme used consists of coral reefs, seagrass, macroalgae, and substrate. We compared the accuracy of benthic habitat map based on absolute and relative water column correction methods. The classification methods used are the Maximum Likelihood (ML) algorithm and Support Vector Machine (SVM). The results showed that benthic habitat map with the highest accuracy was obtained by a combination of Lyzenga-ML at 61.63 followed by Purkis-SVM at 59.18, Lyzenga-SVM at 41.90, and Purkis-ML 16.87. The results show that the Lyzenga water column correction method is the best choice in mapping benthic habitats. © Published under licence by IOP Publishing Ltd.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Cited by: 2; Conference name: 2020 International Conference on Smart and Innovative Agriculture, ICoSIA 2020; Conference date: 4 November 2020 through 5 November 2020; Conference code: 168246; All Open Access, Gold Open Access
Uncontrolled Keywords: Agriculture; Mapping; Maximum likelihood; Remote sensing; Seawater; Support vector machines; Accuracy assessment; Benthic habitats; Classification methods; Coastal resources; Macro-algae; Maximum likelihood algorithm; Shallow sea; Water column correction; Ecosystems
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
Divisions: Faculty of Geography > Departemen Sains Informasi Geografi
Depositing User: Sri JUNANDI
Date Deposited: 22 Oct 2024 01:38
Last Modified: 22 Oct 2024 01:38
URI: https://ir.lib.ugm.ac.id/id/eprint/5426

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