Monitoring the seagrass ecosystem using the unmanned aerial vehicle (UAV) in coastal water of Jepara. Issue 1 (February 2021)

• Record Type: Journal Article
• Authors: Riniatsih, I; Ambariyanto, A; Yudiati, E; Redjeki, S; Hartati, R
• Is Part Of: IOP conference series. Volume 674:Issue 1(2021)
• Publication Date: 2021-02
• Subjects: Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/674/1/012075
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: Seagrass ecosystem in the world were highly sensitive to environmental changes. They were also in global decline and under threat from a variety of anthropogenic factors and global climate change. There was now an urgency to establish robust monitoring methodologies so that changed in seagrass abundance and distribution in these sensitive coastal environments can be understood. Typical monitoring approaches have included remote sensing from satellites and airborne platform, ground base ecological survey. The techniques can suffer from temporal and spatial inconsistency, or were very localised, making it hard to assess seagrass meadows in a structurer manner. The aim of this research was to present the technique of using a lightweight drone and consumer grade cameras to produce very high spatial resolution mosaic of intertidal site in Bandengan, Jepara waters, Indonesia. The data collection methodologies followed by digitation method techniques to produce coverage estimates, with ground check at location, with data drone analysis. This result showed that digitation method can show between the observed and classified low coverage seagrass 7-12% (<25%) compare to middle coverage seagrass 34-48% (between 25< and <50%), also was able to detect the other biotic features, such as colonies of macroalgae, massive coral, the flat sand and coral rubble at the observation location.