PEMETAAN LUASAN EKOSISTEM LAMUN MENGGUANAKN CITRA SENTINEL 2A TAHUN 2018 DAN TAHUN 2020 di PERAIRAN DESA PENGUDANG

Authors

  • Reski Putri Handayani Alumni Program Studi Ilmu Kelautan
  • Fadhliyah Idris Dosen Fakultas Ilmu Kelautan dan Perikanan UMRAH
  • Risandi Dwirama Putra Dosen Fakultas Ilmu Kelautan dan Perikanan UMRAH

Keywords:

Seagrass, Remote Sensing, Satellite, Lyzenga Algorithms

Abstract

Marine information in the form of mapping the distribution of seagrass is needed for seagrass monitoring, education and other matters in marine utilization activities, especially in conservation areas. Pengudang Village is one of the villages that is a seagrass conservation area. One of the waythat can be used in observing the condition of the seagrass ecosystem to see the changes that occu is to use a combination of geographic information systems with remote sensing. In remote sensing technology, the data used is Sentinel-2A Image. The purpose of this study was to map the extent of seagrass in Pengudang Village water by using the method algorithm lyzenga. Methods Lyzenga known by the name of the method depth-invariant index or method of water column correction (correction column of water). The water column correction aims to eliminate the spectral identification errors of the habitat due to the depth factor, then followed by a guided classification process on the image. Seagrass coverage in Pengudang Village waters was obtained based on the results of guided classification analysis. In the image of the Sentinel 2A in the year 2018 reached the figure 8.43 and in the year 2020 experienced a decline in the numbers 7.30 hectares with a value of test accuracy of 80%. Decrease broad fields of seagrass in the Water Village Pengudang caused by several factors such as actvity community local dan feeding habbit of dugong.

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Published

2021-10-12