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Jurnal Comparison of Various Spectral Indices for Optimum Extraction of Tropical Wetlands Using Landsat 8 OLI

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dc.contributor.author Syamani, Syamani
dc.date.accessioned 2024-11-22T03:37:32Z
dc.date.available 2024-11-22T03:37:32Z
dc.date.issued 2021-07
dc.identifier.citation syamani.fhut@ulm.ac.id en_US
dc.identifier.issn ISSN 2354-9114 (online), ISSN 0024-9521 (print)
dc.identifier.uri https://repo-dosen.ulm.ac.id//handle/123456789/36271
dc.description.abstract This research specifically aims to investigate the most accurate spectral indices in extracting wetlands geospatial information taking South Kalimantan, Indonesia, as an example of wetlands in tropical areas. Ten spectral indices were selected for testing their ability to extract wetlands, those are NDVI, NDWI, MNDWI, MNDWIs2, NDMI, WRI, NDPI, TCWT, AWEInsh, andAWEIsh. Tests were performed on Landsat 8 OLI path/row 117/062 and 117/063. The threshold method which was used to separate the wetland features from the spectral indices imagery is Otsu method. The results of this research showed that generally MNDWIs2 was the most optimal spectral indices in wetlands extraction. Especially tropical wetlands that rich with green vegetation cover. However, MNDWIs2 is very sensitive to dense vegetation, this feature has the potential to be detected as wetlands. Furthermore, to improve the accuracy and prevent detection of the dryland vegetation as wetlands, the threshold value should be determined carefully. en_US
dc.publisher Indonesian Journal of Geography en_US
dc.relation.ispartofseries Indonesian Journal of Geography Vol.53 , No. 2, 2021 ( 274284);
dc.subject wetlands; spectral indices; Landsat 8 OLI; South Kalimantan en_US
dc.title Jurnal Comparison of Various Spectral Indices for Optimum Extraction of Tropical Wetlands Using Landsat 8 OLI en_US
dc.type Article en_US


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