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All Journal Jurnal Ilmu Tanah dan Lingkungan (Journal of Soil Science and Environment)
Dwiki Ramadhan Rahman
Program Studi Agroteknologi, Departemen Ilmu Tanah dan Sumberdaya Lahan, Fakultas Pertanian, Universitas Padjadjaran
Agriculture, Biological Sciences & Forestry Environmental Science

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Identifikasi Penggunaan Lahan dan Analisis Kesesuaian Pola Ruang menggunakan Citra Landsat 8 OLI Tahun 2020 : Studi Kasus: Sub-DAS Cikeruh, Citarik, dan Cirasea Dwiki Ramadhan Rahman; Apong Sandrawati; Shantosa Yudha Siswanto
Jurnal Ilmu Tanah dan Lingkungan Vol 24 No 2 (2022): Jurnal Ilmu Tanah dan Lingkungan
Publisher : Departemen Ilmu Tanah dan Sumberdaya Lahan, Fakultas Pertanian, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jitl.24.2.79-86

Abstract

Cikeruh, Citarik, and Cirasea sub-watersheds are part of the Citarum watershed which has been included in the 15 priority watersheds for critical land restoration. One of the causes of land criticality is land uses that is not in accordance with land capabilities or spatial pattern directions. The purpose of this study was to identify the types of land use in Cikeruh, Citarik, and Cirasea Sub-watersheds in 2020 and to evaluate the suitability of land use based on the spatial pattern of the West Java Regional Spatial Plans period of 2009-2029. This research was conducted through a descriptive-quantitative analysis approach through interpretation of Landsat 8 OLI satellite imagery using supervised classification method and maximum likelihood algorithm. Suitability analysis was conducted using the overlay (union) method between the resulted land use data and the spatial pattern of the West Java Regional Spatial Plans. The results of the Landsat 8 OLI image interpretation identified 5 land uses with the highest area, showed: dry land agriculture, forest, built-up land, rice field, and bare land covered 35,696.60 ha (41.78%), 14,819.90 ha (17.34%), 12,959.50 ha (15.17 %), 9,112.95 ha (10.67%), 5,862.92 (6.86%) respectively. The accuracy level of the classification showed an overall accuracy value of 91.25% and a kappa index reached 0.90. Based on the results of the 2020 land use analysis of the Regional Spatial Plan, it showed that 40,997.18 Ha (47.98%) was suitable, 17,172.46 Ha (20.10%) was not suitable yet, and 2,276.99 Ha (31.92%) ) was not suitable.
Co-Authors Apong Sandrawati Shantosa Yudha Siswanto