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All Journal Majalah Geografi Indonesia PROMINE Jurnal Nasional Teknologi Terapan
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Program Studi Penginderaan Jauh Dan SIG, Departemen Teknologi Kebumian, Sekolah Vokasi Universitas Gadjah Mada
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Environmental Science

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Journal : PROMINE

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Aplikasi ALOS PALSAR Full Polarimetric Untuk Pemetaan Penutup Lahan Di Sebagian Kabupaten Sleman Like Indrawati
PROMINE Vol 6 No 1 (2018): PROMINE
Publisher : Jurusan Teknik Pertambangan, Fakultas Teknik, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (415.725 KB) | DOI: 10.33019/promine.v6i1.934

Abstract

The simplest way to interpret polarimetric imagery for land cover classification is to use visualinterpretation methods. The existence of interpretations key as a tool for visual interpretation becomesimportant when different interpreters can produce different results. The quality of the results of theinterpretation of land cover is then determined by the quality of the interpretation tool, in this case, thekey to the interpretation of land cover. The purpose of this study was to make the key to land coverclass interpretation in the Full Polarimetric ALOS PALSAR image, then the interpretation key wasused for reference in making land cover maps and measuring the accuracy of the results of the visualinterpretation. The image used in this study consisted of HH, VV, HV and VH bands. The location ofthe study was in parts of Sleman District. The analysis is done visually by on-screen digitizing onALOS Palsar composite HH + VV HV + VH HH-HV image, which is then interpreted key. The truetest is done by means of the overall accuracy test and Kappa. Visually, ALOS PALSAR imagery isable to distinguish 12 land cover classes in the research area, namely built land, rice fields, mixedgardens, moorlands, salak garden, grass, forest, shrubs, open land, airports, water bodies and lavawith 83% Overall accuracy, and 78% Kappa accuracy.
Co-Authors Ari Cahyono Hartono Hartono Karen Slamet Hardjo Sunarto Sunarto