Open AccessThe Comparison of RGB 564 and RGB 573 Band Composite of Landsat 8 for Mangrove Vegetation Distribution Identification on Pahawang Island, Lampung
Author(s) -
Mohammad Ashari Dwiputra,
Adib Mustofa
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/830/1/012017
Subject(s) - mangrove , remote sensing , rgb color model , vegetation (pathology) , satellite , satellite imagery , environmental science , geography , cartography , ecology , computer science , artificial intelligence , engineering , biology , medicine , pathology , aerospace engineering
Remote sensing technology has been widely used for the identification of natural resources in the coastal and marine areas. Visual interpretation method (photo-interpretation) of Landsat 8 OLI satellite image data is one of the common methods for classifying mangrove vegetation areas, especially in the coastal area, since this methods is less expensive compared to the conventional methods of field measurement. However, in its technical process, it needs a combination of several satellite imagery bands to produce optimal colour images as a reference for delineating mangrove and non-mangrove areas. This study was aimed to identify mangrove cover areas and its distribution in Pahawang island, Lampung using visual interpretation method. In this study, RGB 564 and RGB 573 composites were utilized. We compared both RGB to find the most suitable composite for identifying mangrove distribution. Composites Landsat 8 OLI satellite image data produced a red-black mangrove distribution that requires bands with visible wavelengths (bands 2.3 and 4); bands with near-infrared (NIR) (bands 5); and short-wave infrared (SWIR) (bands 6 and 7). The results showed that 564-composite type produced optimal colour images to facilitate the process of interpreting the distribution of mangrove vegetation. In addition, our study revealed the total distribution area of mangrove vegetation in Pahawang Island is 51.3 Ha with the most significant area located in the western part of Pahawang Island at 39 Ha. The mapping accuracy test of the 564-composites type was 86.6% while the 573-composites type was 47.5%. This indicated that the 564-composites type likely provides more reliable mangrove vegetation distribution information.