Predicting Land Use Land Cover Dynamics and Land Surface Temperature Changes Using CA-Markov-Chain Models in Islamabad, Pakistan (1992–2042)

Predicting Land Use Land Cover Dynamics and Land Surface Temperature Changes Using CA-Markov-Chain Models in Islamabad, Pakistan (1992–2042)

Cellular automata (CA) models are employed for simulating geographical distributions, while Markov-Chain models are utilized for simulating temporal changes. This study aims to forecast the dynamics of land use and land cover (LULC) change and land surface temperature (LST) using a CA and Markov-Cha...

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Bibliographic Details
Main Authors: Muhammad Farhan, Taixia Wu, Sahrish Anwar, Jingyu Yang, Syed Ali Asad Naqvi, Walid Soufan, Aqil Tariq
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Cellular automata
LST
LULC prediction
Markov-Chain model
Online Access:https://ieeexplore.ieee.org/document/10632614/
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