Lately the use of Unmanned Aerial Vehicles (UAVs) for remote sensing has attracted attention from researchers. This can be attributed to its low cost and feasibility to automate flight commands along a set of waypoints. Moreover, UAVs has shown promise lately in a number of areas including monitoring vegetation and soil health, agriculture, forestry and land use. However, little is being done related to coastal management or aquatic monitoring. Most of the remote sensing researches attributed to coastal monitoring and management are usually satellite based or Compact Airborne Spectrographic Imager (CASI). UAVs can fly in place of piloted aircraft to gather remote sensing information on coastal area characteristics from mangroves to seagrass to corals. The type of sensors flown depends on the instrument's weight limitation, so that, depending on the specification of the UAV, it is possible to acquire video, aerial photographs, multispectral and hyperspectral radiometric, LiDAR, and radar data etc. This study utilizes UAV with a small digital camera for medium scale coastal mapping. The first objective of this study is to investigate the use of lightweight first person view (FPV) raptor UAV for mapped image of coastal body with limited ground control points for generating orthophoto mosaic of the coastal area. Aerial photographs were acquired at an estimated of 60% forward lap and 40% side lap specifications. The second objective is to determine the accuracy of the photogrammetric output. It is expected that this survey will provide guidelines for future remote sensing project using low cost digital aerial images. Also the results from this study will serve as an input for further analysis to identify submerged aquatic vegetation like seagrass.
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