期刊
CITIES 2015: INTELLIGENT PLANNING TOWARDS SMART CITIES
卷 227, 期 -, 页码 87-94出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.sbspro.2016.06.047
关键词
fragmentation; logistic regression; palm oil plantation; LUCC; remote sensing
Multi-temporal satelite imagery and digital change detection technique help in understanding land use-cover change (LUCC). The record of land use-cover changes provide the direction and can be used as guidelines to identify issues, problems, and guidelines for landscape planning. This study was conducted in Batanghari, Jambi Province. The purposes of this study are to analyze the characteristics of pattern of land cover changes with long temporal scale (1988 - 2014), to analyze driving factors of land use changes, and to analyze land fragmentation. LUCC maps (1988, 1994, 2004, & 2014) were derived from remote sensing satellite images using supervised classification method (maximum likelihood) in ERDAS 9.3 Software, to define driving factors used regression binary logistic analysis in IDRISI Selva Software. Largest patch index (LPI) was also used to assess the fragmentation or dominance of LUCC type. The results showed Logit Y= - 0.14 - 0.0800 X-1 - 0.07360 X-2 + 0.02468 X-3 + 0.44584 X-4 - 0.02382 X-5 + 0.02769 X-6. The highest land fragmentation occur in Mersam, Marosebo Ulu, and Tembesi. (C) 2016 The Authors. Published by Elsevier Ltd.
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