Simulation and projection of land use and land cover using remote sensing data and CA–Markov model case study

Simulation and projection of land use and land cover using remote sensing data and CA–Markov model case study

Land use and appearance have a significant effect on our surroundings and natural assets. This study investigates how land usage has changed over the last twenty years using a statistical independence assessment and CA (Cellular Automata) Markov process in predicting forthcoming Land Use and Land Co...

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Bibliographic Details
Main Authors: Akash Behera, Kishan Singh Rawat, Sanjeev Kumar, Ali Saeed Almuflih, Naif Almakayeel, Mohamed Rafik N. Qureshi
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Geocarto International
Subjects:
LULC change
CA Markov model
predictions
Remote Sensing
Geographic Information Systems (GIS)
Online Access:https://www.tandfonline.com/doi/10.1080/10106049.2025.2450441
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https://www.tandfonline.com/doi/10.1080/10106049.2025.2450441

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