{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T12:06:32Z","timestamp":1775736392052,"version":"3.50.1"},"reference-count":30,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2012,2,23]],"date-time":"2012-02-23T00:00:00Z","timestamp":1329955200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>The primary objective of this research is to predict and analyze the future urban growth of Dhaka City using the Landsat satellite images of 1989, 1999 and 2009. Dhaka City Corporation (DCC) and its surrounding impact areas have been selected as the study area. At the beginning, a fisher supervised classification method has been applied to prepare the base maps with five land cover classes. In the next stage, three different models have been implemented to simulate the land cover map of Dhaka city of 2009. These have been named as \u201cStochastic Markov (St_Markov)\u201d Model, \u201cCellular Automata Markov (CA_Markov)\u201d Model and \u201cMulti Layer Perceptron Markov (MLP_Markov)\u201d Model. Then the best-fitted model has been selected by implementing a method to compare land cover categories in three maps: a reference map of time 1, a reference map of time 2 and a simulation map of time 2. This is how the \u201cMulti Layer Perceptron Markov (MLP_Markov)\u201d Model has been qualified as the most appropriate model for this research. Later, using the MLP_Markov model, the land cover map of 2019 has been predicted. The MLP_Markov model extrapolates that built-up area increases from 46% to 58% of the total study area during 2009\u20132019.<\/jats:p>","DOI":"10.3390\/ijgi1010003","type":"journal-article","created":{"date-parts":[[2012,2,23]],"date-time":"2012-02-23T11:22:02Z","timestamp":1329996122000},"page":"3-31","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":202,"title":["Modeling Urban Land Cover Growth Dynamics Using Multi\u2011Temporal Satellite Images: A Case Study of Dhaka, Bangladesh"],"prefix":"10.3390","volume":"1","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5092-5528","authenticated-orcid":false,"given":"Bayes","family":"Ahmed","sequence":"first","affiliation":[{"name":"Clear Air and Sustainable Environment (CASE) Project, Dhaka South City Corporation (DSCC), Nagar Bhaban, Fulbaria, Dhaka-1000, Bangladesh"}]},{"given":"Raquib","family":"Ahmed","sequence":"additional","affiliation":[{"name":"Institute of Environmental Science, University of Rajshahi, Rajshahi-6205, Bangladesh"}]}],"member":"1968","published-online":{"date-parts":[[2012,2,23]]},"reference":[{"key":"ref_1","first-page":"598","article-title":"Temporal mapping and spatial analysis of land transformation due to urbanization and its impact on surface water system: A case from Dhaka metropolitan area, Bangladesh","volume":"33","author":"Khan","year":"2000","journal-title":"Int. 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