Modeling urban expansion in Yangon, Myanmar using Landsat time-series and stereo GeoEye Images

8th IGRSM International Conference and Exhibition on Geospatial & Remote Sensing

地球科学;计算机科学

Sritarapipat, Tanakorn^1 ; Takeuchi, Wataru^1

Institute of Industrial Science, University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo

153-8505, Japan^1

关键词: Estimation and predictions;    Land cover;    Landsat time series;    Myanmars;    Statistical modeling;    Urban areas;    Urban expansion;    Urban expansion models;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/37/1/012056/pdf
DOI  :  10.1088/1755-1315/37/1/012056

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

This research proposed a methodology to model the urban expansion based dynamic statistical model using Landsat and GeoEye Images. Landsat Time-Series from 1978 to 2010 have been applied to extract land covers from the past to the present. Stereo GeoEye Images have been employed to obtain the height of the building. The class translation was obtained by observing land cover from the past to the present. The height of the building can be used to detect the center of the urban area (mainly commercial area). It was assumed that the class translation and the distance of multi-centers of the urban area also the distance of the roads affect the urban growth. The urban expansion model based on the dynamic statistical model was defined to refer to three factors; (1) the class translation, (2) the distance of the multicenters of the urban areas, and (3) the distance from the roads. Estimation and prediction of urban expansion by using our model were formulated and expressed in this research. The experimental area was set up in Yangon, Myanmar. Since it is the major of country's economic with more than five million population and the urban areas have rapidly increased. The experimental results indicated that our model of urban expansion estimated urban growth in both estimation and prediction steps in efficiency.