Testing a detailed classification scheme for land-cover/ land-use mapping of typical Indonesian landscapes: Case study of Sarolangun, Jambi and Salatiga, Central Java

Danoedoro, Projo and Ananda, Irvan Nurrahman and Kartika, Candra Sari Djati and Umela, Assyria F. and Indayani, Alvidita Beatrix (2021) Testing a detailed classification scheme for land-cover/ land-use mapping of typical Indonesian landscapes: Case study of Sarolangun, Jambi and Salatiga, Central Java. Indonesian Journal of Geography, 52 (3). 327 – 340. ISSN 00249521

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Abstract

Land-cover/land-use (LCLU) mapping is an important activity to produce very useful information to support various sectors, such as land supply, spatial planning, disaster mitigation, and agricultural development. In Indonesia, a LCLU classification scheme has been developed at a scale of 1: 50,000, but it still requires an evaluation due to its advantages and limitations. This study tried to apply a classification scheme for LCLU-based on SNI 7645-1 2014 for two regions in Indonesia with different landscape characteristics, i.e. Sarolangun in Jambi and Salatiga and surroundings in Central Java.. The trial was conducted by developing methods of Landsat-8 satellite image analysis and interpretation combining digital processing and manual delineation. Based on this research, a total of 52 LCLU classes were identified in Sarolanguni and 32 classes were found in Salatiga and surrounding areas. The validation showed that the LCLU map of Jambi region reached 80.75. of total accuracy, while that of Salatiga and surroundings reached 88.7. Different accuracies found related to the number of classes produced, the pattern of relationship between LCLU with the existing landform characteristics, and the quality of images due to cloud cover. © 2020 by the authors. Licensee Indonesian Journal of Geography, Indonesia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution(CC BY NC) licensehttps://creativecommons.org/licenses/by-nc/4.0/.

Item Type: Article
Additional Information: Cited by: 5; All Open Access, Gold Open Access
Uncontrolled Keywords: detailed land-cover/land- use classification scheme; Landsat-8; image analysis; visual interpretation
Subjects: G Geography. Anthropology. Recreation > GB Physical geography
Divisions: Faculty of Geography > Departemen Geografi Lingkungan
Depositing User: Sri JUNANDI
Date Deposited: 28 Sep 2024 11:12
Last Modified: 28 Sep 2024 11:12
URI: https://ir.lib.ugm.ac.id/id/eprint/4413

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