Urban Growth Modeling using Historical Landsat Satellite Data Archive on Google Earth Engine

TitleUrban Growth Modeling using Historical Landsat Satellite Data Archive on Google Earth Engine
Publication TypeConference Paper
Year of Publication2019
AuthorsMiyazaki, H, Bhushan, H, Wakiya, K
Conference NameFirst International Conference on Smart Technology & Urban Development (STUD 2019)
Date Published12/2019
Conference LocationChiang Mai, Thailand
Abstract

This paper presents a pilot of data analysis for urban growth modeling using historical Landsat satellite data archive on Google Earth Engine and SLEUTH cellular automata model. The systems were organized for non-expert so that it could be useful for other applications. The developed system was applied to urban growth modeling for the cities of Hue, Ha Giang, and Vinh Yen in Viet Nam. Although the results indicated that further tuning will be needed in applying SLEUTH for urban growth modeling, the system was well established enabling users to efficiently polish the quality of the modeling results.

URLhttps://saki.siit.tu.ac.th/stud2019/uploads_final/128__4f15a3e32cd65c891bdead374949372b/PID6282057.pdf