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All Journal Geoid - Journal of Geodesy and Geomatics Jurnal Technopreneur (JTech) J SIG (Jurnal Sains Informasi Geografi) Buletin Poltanesa Jurnal Agriment Madani: Jurnal Pengabdian Ilmiah. Sewagati Journal of Geomatics Engineering, Technology, and Science
Romansah Wumu
Politeknik Pertanian Negeri Samarinda
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences Other

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Journal : J SIG (Jurnal Sains Informasi Geografi)

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ANALISIS CITRA FOTO UDARA UNTUK IDENTIFIKASI SALINITAS PERMUKAAN TAMBAK AIR PAYAU Romansah Wumu; Shabri Indra Suryalfihra
Jurnal Sains Informasi Geografi (J SIG) Vol 5, No 1 (2022): Edisi Mei
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v5i1.1092

Abstract

East Kalimantan Province is sufficiently potential for brackish water pond with an area of 113,053.1 ha (gross land area) and 82,714 ha (clean land area). This potential needs to be maximized by paying attention to land suitability for ponds. One of the parameters of land suitability for ponds is water salinity. Water salinity can be measured directly by taking water samples in the field; however, this method is less effective considering that water is dynamic so that the measurement results of water salinity often change over time. Remote sensing technology facilitates the observation of objects on the earth's surface without having to directly touch the object. Several studies using satellite imagery have proven to be able to measure salinity of water surface using a special algorithm. The findings of the research discover that the algorithm is developed using the visible light band (RGB). This allows the results of aerial photos using drones to be used to measure the salinity of brackish water pond by using an algorithm. Based on this explanation, this research aims at applying radiometric corrections from aerial photographs using drones and then creating a pond salinity algorithm using drone aerial photographs. The algorithm is obtained by finding the best correlation linearly or order 2 polynomial from pond water salinity data with reflectance values and Digital Number (DN) aerial photos. It is found that the results obtained by the algorithm with the best performance is the second polynomial algorithm for blue band reflectance data with an R2 value of 0.896 and an RMSE of 0.744. The salinity of pond water ranges from 0 – 9.65 ppt.
Co-Authors Andi Baso Sofyan A.P Andi Nur Rahman Annafiyah Annisa Amelia Burhan Liputo Dawamul Arifin Dyah Widyasasi Erina Hertianti Evi Sunarti Antu F. V. Astrolabe Sian Prasetya Farid Darise Iqrimha staddal Muhammad Yani Nia Kurniadin Nurgiantoro, Nurgiantoro Radik Khairil Insanu Ryo Anugrah Shabri Indra Suryalfihra Taufan Yanuar Muslim Zulfha Diya Nur Ardzilla