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Geocarto International Volume 38, 2023 - Issue 1
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Research Article

Modelling of land use and land cover changes and prediction using CA-Markov and Random Forest

Muhammad Asifa Department of Geography, University of Karachi, Karachi, Sindh, PakistanView further author information
,
Jamil Hasan Kazmia Department of Geography, University of Karachi, Karachi, Sindh, PakistanView further author information
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Aqil Tariqb Department of Wildlife, Fisheries and Aquaculture, College of Forest Resources, Mississippi State State University, MS, USA;c State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, ChinaView further author information
,
Na Zhaod State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, ChinaCorrespondence[email protected]
View further author information
,
Rufat Guluzadee School of Earth Science and Engineering, Majoring in Geodesy and Survey Engineering, Hohai University, Nanjing, ChinaView further author information
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Walid Soufanf Plant Production Department, College of Food and Agriculture Sciences, King Saud University, Riyadh, Saudi ArabiaView further author information
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Khalid F. Almutairif Plant Production Department, College of Food and Agriculture Sciences, King Saud University, Riyadh, Saudi ArabiaView further author information
,
Ayman El Sabaghg Department of Agronomy, Faculty of Agriculture, Kafrelsheikh University, Kafr El-Shaikh, EgyptView further author information
&
Muhammad Aslamh School of Computing Engineering and Physical Sciences, University of West of Scotland, Glasgow, UKView further author information
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Article: 2210532 | Received 09 Nov 2022, Accepted 01 May 2023, Published online: 12 May 2023

Citations (5)

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Read on this site (3)

Abdulkarem Qasem Dammag, Dai Jian, Guo Cong, Basema Qasim Derhem & Hafiza Zara Latif. (2023) Predicting spatio-temporal land use / land cover changes and their drivers forces based on a cellular automated Markov model in Ibb City, Yemen. Geocarto International 38:1.
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Wendiwesen Megersa, Kiros Tsegay Deribew, Girmay Abreha, Tebarek Liqa, Mitiku Badasa Moisa, Samuel Hailu & Kenate Worku. (2023) Stochastic modeling of urban growth using the CA-Markov chain and multi-scenario prospects in the tropical humid region of Ethiopia: Mettu. Geocarto International 38:1.
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Pingheng Li, Aqil Tariq, Qingting Li, Bushra Ghaffar, Muhammad Farhan, Ahsan Jamil, Walid Soufan, Ayman El Sabagh & Mohamed Freeshah. (2023) Soil erosion assessment by RUSLE model using remote sensing and GIS in an arid zone. International Journal of Digital Earth 16:1, pages 3105-3124.
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Articles from other publishers (2)

Md. Sharafat Chowdhury. (2024) Comparison of accuracy and reliability of random forest, support vector machine, artificial neural network and maximum likelihood method in land use/cover classification of urban setting. Environmental Challenges 14, pages 100800.
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Mutiullah Jamil, Hafeezur Rehman, Muhammad Saqlain Zaheer, Aqil Tariq, Rashid Iqbal, Muhammad Usama Hasnain, Asma Majeed, Awais Munir, Ayman El Sabagh, Muhammad Habib ur Rahman, Ahsan Raza, Mohammad Ajmal Ali & Mohamed S. Elshikh. (2023) The use of Multispectral Radio-Meter (MSR5) data for wheat crop genotypes identification using machine learning models. Scientific Reports 13:1.
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