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, TCW'T, AWEInsh, andAWEIsh. Tests were performed on
Landsat 8 OLI path/row 1 17/062 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
