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Seagrass
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MAPPING OF SHALLOW WATER SEAGRASSES IN THE COAST OF SURIGAO DEL SUR, CARAGA REGION USING
LANDSAT 8 SATELLITE IMAGE
Michelle V. Japitana, M.Sc* and Monalaine M. Bermoy*
PHIL-LiDAR 2, College of Engineering and Information Technology, Caraga State University, Ampayon, Butuan City
*Corresponding author.E-mail addresses: [email protected] (Michelle V. Japitana),
[email protected] (Monalaine M. Bermoy)
Abstract
The Province of Surigao del Sur, located along the northeastern coast of Mindanao facing the Pacific Ocean, is one of the provinces in the Caraga Region which have the largest coastal area and marine life biodiversity. Among these marine fauna or benthic habitats that are dominant in Surigao del Sur are seagrasses which are known to be highly productive ecosystem that provides shelter and serves as food source to diverse species of young and adult fish, marine invertebrates and marine mammals. Hence, this study is conducted to assess the vastness of the seagrasses in the shallow water areas in the coast of Surigao del Sur by employing remote sensing techniques. Landsat 8 image is used in seagrass mapping by means of unsupervised ISODATA classification method. Landsat 8 images have been found to be efficient and could be an alternative in conducting benthic mapping because of its additional coastal blue band. The satellite image was radiometrically calibrated and atmospherically corrected using Fast Line-of-Sight Atmospheric Analysis of Hypercubes (FLAASH) method. Unsupervised ISODATA classification was then applied with minimum and maximum classes of 10 and 30, respectively. The seagrasses classification was clustered into two classes, namely, dense seagrass and sparse seagrass. Accuracy assessment of the classified features was performed using the validation points collected from the actual field survey.
Keywords: seagrass, ISODATA, remote sensing
