Open AccessDetection of seagrass distribution in Bintan Island using SPOT-7 Satellite Imagery and Unmanned Surface Vehicle (USV)
Author(s) -
P P Tamba,
Risti Endriani Arhatin,
Indra Jaya
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/944/1/012012
Subject(s) - seagrass , environmental science , satellite , satellite imagery , remote sensing , underwater , oceanography , geology , habitat , ecology , engineering , biology , aerospace engineering
Seagrass has a very important role as a natural barrier to currents and waves from open water. In addition, it plays a significant role in carbon sequestration and storage. In this study, we used SPOT-7 Satellite to detect seagrass distribution in Bintan Island. Bintan Island has the largest seagrass conservation area in Indonesia. The field survey for data collection used an Unmanned Surface Vehicle (USV). Seagrass area is obtained by classifying several objects in the shallow water by using Maximum Likehood Classification algorithm. The seagrass area in the Bintan Island covered about 142.45 ha in 2018, and from the underwater visual system, it was detected that the type of seagrass that dominates the area is Thallasia hemprichii and Enhalus accroides . Therefore, by combining the SPOT-7 satellite imagery and USV we can detect and quantify the seagrass.