Pemetaan Habitat Bentik Perairan Dangkal Pulau Barrang Lompo Kepulauan Spermonde

Indah Kartika, Vincentius Siregar, Nurjannah Nurdin, James Parlindungan Panjaitan

Abstract


This study aims to map the spatial distribution of benthic habitats in the shallow waters of Barrang Lompo Island, Spermonde Archipelago, using SPOT-7 satellite imagery and the Maximum Likelihood (MLH) classification algorithm. Two image processing approaches were applied, without water column correction and with correction using the Depth Invariant Index (DII) algorithm. The classification results identified six major habitat classes consist of Live Coral, Live Coral + Rubble, Seagrass, Sand, Sand + Seagrass, and Rubble. The uncorrected imagery produced a higher classification accuracy (64.5%) compared to the corrected imagery (62.6%). Although the water column correction enhanced visual contrast between substrates, it did not improve classification accuracy. The high water clarity at the study site is likely a contributing factor to the reduced effectiveness of the correction process. These findings suggest that water column correction does not always enhance classification results and should be carefully considered in relation to local optical conditions. The study provides valuable insights for benthic habitat mapping to support data-driven coastal management and ecosystem-based spatial planning initiatives.


Keywords


Benthic Habitat, Image Classification, SPOT-7, Water Column Correction, Spermonde.

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DOI: https://doi.org/10.17509/ijom.v6i1.82586

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