Integrating the multi-label land-use concept and cellular automata with the artificial neural network-based Land Transformation Model: an integrated ML-CA-LTM modeling framework

Integrating the multi-label land-use concept and cellular automata with the artificial neural network-based Land Transformation Model: an integrated ML-CA-LTM modeling framework

Cellular automata (CA) and artificial neural networks (ANNs) have been used by researchers over the last three decades to simulate land-use change (LUC). While conventional CA and ANN models assign a cell to only one land-use class, in reality, a cell may belong to several land-use classes simultane...

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Bibliographic Details
Main Authors: Hichem Omrani, Amin Tayyebi, Bryan Pijanowski
Format: Article
Language:English
Published: Taylor & Francis Group 2017-05-01
Series:GIScience & Remote Sensing
Subjects:
artificial neural networks
cellular automata
land-use change
mono-label class
multi-label classes
Online Access:http://dx.doi.org/10.1080/15481603.2016.1265706

Internet

http://dx.doi.org/10.1080/15481603.2016.1265706

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