Predicting spatial and decadal of land use and land cover change using integrated Cellular Automata Markov chain model based scenarios (2019–2049) Zarriné-Rūd River Basin in Iran
Effective land use and land cover (LULC) change assessment requires tools to measure past, current, and based on them to create a future scenario. LULC changes are unavoidable in the world, particularly in developing countries. Since LULC are too dynamic and complicated without the identification of...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier B.V.
2022
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Subjects: | |
Online Access: | http://eprints.utm.my/98644/1/FaizahCheRos2022_PredictingSpatialandDecadalofLandUse.pdf |