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| Title | : | Pemanfaatan Data Landsat Multitemporal untuk Pemetaan Pola Ekspansi Perkotaan Secara Spasiotemporal : Studi Kasus pada Tiga Kota Metropolitan di Pulau Jawa" |
| Author | : | |
| Date | : | 2017 |
| Abstract | : | Utilization of multitemporal remote sensing data among others can be used to determine the patternof changes in urban expansion. One of the most important types of cities in urban systems is themetropolitan urban area that covers several districts and cities. This is because the region generally actsas the capital of the country, the provincial capital, and the center of economic activities that are nationalor strategic. Understanding urban expansion at different metropolitan urban levels is important forexpanding knowledge in times of urban growth and its impact on the environment. Aims in this study are:(1) to know the effectiveness of object-based image analysis with Random Forest algorithm to map ofurban settlements; (2) to know the spatiotemporal pattern of three different metropolitan urban; (3) tocompare the spatiotemporal pattern of the three metropolitan urban. In this study focused on threemetropolitan urban in Java, namely DKI. Jakarta, Surabaya and Semarang. This study utilizing LandsatTM, ETM + and OLI image data to map urban settlement land cover using object-based classificationwith Random Forest algorithm. Next, quantifying the typology of urban expansion and compare thespatiotemporal pattern of urban expansion during 2005-2015 on the results of land cover mapping. Thisresearch has found that (1) object-based classification with Random Forest algorithm is quite effective interms of time of work to map urban settlement cover on Landsat digital data having medium spatialresolution (2) the three urban metropolia is experiencing rapid and massive development and has a veryvaried spatiotemporal pattern; (3) Rapid expansion of the region affect the pattern of urban expansion,followed by the size of the city. Larger city size with relatively rapid expansion is more likely toexperience the edge extension model, while smaller cities tend to develop with leapfrogging models.Keywords: Spatiotemporal pattern, urban expansion, urban expansion typhology quantification, objectbased image analysis. |
| Group of Knowledge | : | Geografi |
| Original Language | : | Bahasa Indonesia |
| Level | : | Nasional |
| Status | : |
| No | Title | Action |
|---|---|---|
| 1 |
Artikel_SNTT_Like Indrawati.pdf
Document Type : Laporan penelitian
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