THE USE OF REMOTE SENSING DATA FOR MODELING URBAN GROWTH OF YOGYAKARTA CITY USING MARKOV-CELLULAR AUTOMATA

摘要

Yogyakarta is the most convenient city, it makes Yogyakarta a city that interest to live in and trigger the physical development of the city of Yogyakarta. Geographic Information System (GIS) has many functions, such as modeling, monitoring, measurement, and mapping that makes GIS provide an assessment of the physical urban growth. One of the model can be used for monitoring and modeling physical urban growth of Yogyakarta is Markov Cellular Automata (Markov-CA). This method has some inputs such as Urban Existing, Markov Transition Area and Markov Suitability Image Collection. Urban Existing is landcover map in recent years. Markov Transition Area is data that show the probability matrix of land to changing in a certain period. Markov suitability Image Collection is a map that show the location of land which changed, then the urban growth in certain year ahead can be simulated.