Paper
22 December 2021 Analysis spatial pattern of urban growth using remote sensing data: a study in Purwokerto, Central Java, Indonesia
Author Affiliations +
Proceedings Volume 12082, Seventh Geoinformation Science Symposium 2021; 120820N (2021) https://doi.org/10.1117/12.2616207
Event: Seventh Geoinformation Science Symposium (GSS 2021), 2021, Yogyakarta, Indonesia
Abstract
Expansion of built-up land can lead to changes in land use and land cover (LULC), especially in urban areas. Expansion of built up land can occur due to an increase in population and the level of urbanization. Urbanization and changes in LULC have led to a substantial increase in the urban population due to migration, which has brought many acute problems in the urban environmental system. This study aims to map LULC conditions in 2008, 2013, and 2018 and to analyze the spatial pattern of urban growth from 2008 to 2018. The maximum likelihood method was used to classify LULC based on Landsat imagery and to analyze urban growth spatial patterns. Spatial analysis was carried out by dividing the four locations into 4 (four) quadrants adjusted to the cardinal directions. From the analysis conducted, the accuracy of the research in 2008 was 88%, in 2013 was 86%, and in 2018 was 88%. From this study, the urban growth of the city in Purwokerto spreads in all directions, but urban growth is more dominated in quadrant I or the northeast direction. Quadrant 1 has a strong pull from Purbalingga Regency and is traversed by the main connecting road between districts and provinces to the north and east so that it can cause expansion of built-up land in quadrant 1. The results of this study can be used as recommendations in making urban spatial plans in Purwokerto City.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gian Felix Ramadan and Iswari Nur Hidayati "Analysis spatial pattern of urban growth using remote sensing data: a study in Purwokerto, Central Java, Indonesia", Proc. SPIE 12082, Seventh Geoinformation Science Symposium 2021, 120820N (22 December 2021); https://doi.org/10.1117/12.2616207
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KEYWORDS
Agriculture

Earth observing sensors

Landsat

Vegetation

Remote sensing

Infrared radiation

Short wave infrared radiation

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