Journal of Geographic Information System

Journal of Geographic Information System

ISSN Print: 2151-1950
ISSN Online: 2151-1969
www.scirp.org/journal/jgis
E-mail: jgis@scirp.org
"Validation of CA-Markov for Simulation of Land Use and Cover Change in the Langat Basin, Malaysia"
written by Hadi Memarian, Siva Kumar Balasundram, Jamal Bin Talib, Christopher Teh Boon Sung, Alias Mohd Sood, Karim Abbaspour,
published by Journal of Geographic Information System, Vol.4 No.6, 2012
has been cited by the following article(s):
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[3] Quantitatively assessing the future land-use/land-cover changes and their driving factors in the upper stream of the Awash River based on the CA–markov model and …
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[4] Assessment of land use land cover changes and future predictions using CA-ANN simulation for selangor, Malaysia
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[5] Impacts of climate and land-use change on groundwater recharge in the semi-arid lower Ravi River basin, Pakistan
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[6] Land-use change and its driving factors in Henan province from 1995 to 2015
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[7] Comparing the structural uncertainty and uncertainty management in four common Land Use Cover Change (LUCC) model software packages
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[8] Land Use and Land Cover Change Assessment and Future Predictions in the Matenchose Watershed, Rift Valley Basin, Using CA-Markov Simulation
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[10] Monitoring and Assessing Land Use/Cover Change and Ecosystem Service Value Using Multi-Resolution Remote Sensing Data at Urban Ecological Zone
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[11] Application of multi layer perceptron neural network Markov Chain model for LULC change detection in the Sub-Himalayan North Bengal
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[12] Multi-scenario based urban growth modeling and prediction using earth observation datasets towards urban policy improvement
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[13] Impacts of climate and land use/cover changes in streamflow in Kibungo sub-catchment, Tanzania
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[14] Prediction of Land use land cover Changes of a river basin using the CA-Markov Model
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[15] Dynamic simulation of urban growth and land use change using an integrated cellular automata and markov chain models: a case of Bahir Dar city, Ethiopia
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[16] A Comprehensive Assessment and Modeling of Land Use Changes in a Flood-Prone Watershed, Northeast of Iran
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[17] Landuse/landcover monitoring and spatiotemporal modelling using multilayer perceptron and 'multilayer perceptron'-Markov Chain ensemble models: A case study of …
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[18] Interactive influence of climate variability and land-use change on blue and green water resources: a case study from the Ganjiang River Basin, China
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[19] Quantifying both climate and land use/cover changes on runoff variation in Han River basin, China
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[20] Land cover change detection in the Turkish coastal zone based on 28-year (1990–2018) Corine data
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[21] Structural uncertainty and uncertainty management in four common Land Use Cover Change (LUCC) model software packages. A comparison
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[27] Study on landscape pattern of Hegang City based on ANN-CA-Markov model
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[28] Evaluation of Markov Chain and Automated Cell Integrated Model in Simulation of Land Use Change and Land Cover of Gotvand Dam
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[29] Evaluation of the Efficiency of the CA-Markov Model in Predicting Spat-Temporal Changes of Land Use in Dust Source of South and Southeast Ahwaz
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[30] ارزیابی کارایی مدل سلول‌های خودکار-مارکوف در پیش‌بینی تغییرات مکانی-زمانی کاربری اراضی در کانون ریزگرد جنوب و جنوب شرق اهواز‎
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[32] Urban Land Use Land Cover Change Detection: A Case Study Of Adama City, Ethiopia.
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[34] Land cover change from National to global scales: A spatiotemporal assessment of trajectories, transitions and drivers
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[35] Modeling the Effects of Land Use and Land Cover Changes on Desertification Intensity in Mokhtaran Plain Using CA-Markov Method
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[38] Geospatial environmental modeling of forest declining trend in Eastern Himalayan biodiversity hotspot region
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[39] Analysis of the Impact of Land-Use/Land-Cover Change on Land-Surface Temperature in the Villages within the Luki Biosphere Reserve
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[40] Integration of Sentinel-1 and Sentinel-2 Data with the G-SMOTE Technique for Boosting Land Cover Classification Accuracy
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[41] Simulating urban expansion based on ecological security pattern—a case study of Hangzhou, China
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[42] Remote sensing-based urban sprawl modeling using multilayer perceptron neural network markov chain in Baghdad, Iraq
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[43] An integrated simulation approach to the assessment of urban growth pattern and loss in urban green space in Kolkata, India: A GIS-based analysis
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[44] Monitoring Land Use Changes and Their Future Prospects Using GIS and ANN-CA for Perak River Basin, Malaysia
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[45] Modeling and Prediction of Land Use Land Cover Change Dynamics Based on Land Change Modeler (LCM) in Nashe Watershed, Upper Blue Nile Basin, Ethiopia
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[46] Spatial and decadal prediction of land use/land cover using multi-layer perceptron-neural network (MLP-NN) algorithm for a semi-arid region of Asir, Saudi Arabia
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[47] Applicability of the CA-Markov Model in Land-use/Land cover Change Prediction for Urban Sprawling in Batticaloa Municipal Council, Sri Lanka
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[48] Analysis of the Future Land Use Land Cover Changes in the Gaborone Dam Catchment Using CA-Markov Model: Implications on Water Resources
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[49] Comparison of vegetation indices in estimating the residue biomass of spring and autumn crops (Watersheds in the southwest of Golestan province)
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[50] IMPROVING THE CONSISTENCY OF MULTI-TEMPORAL LAND COVER MAPPING OF LAGUNA LAKE WATERSHED USING LIGHT GRADIENT BOOSTING …
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[51] Geospatial land surface-based thermal scenarios for wetland ecological risk assessment and its landscape dynamics simulation in Bayanbulak Wetland, Northwestern …
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[52] Geospatial modelling of land use/land cover dynamics in the Gongola basin for water resource applications through CA-Markov
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[53] Historic and Simulated Desert-Oasis Ecotone Changes in the Arid Tarim River Basin, China. Remote Sens. 2021, 13, 647
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[54] The Influence of the Calibration Interval on Simulating Non-Stationary Urban Growth Dynamic Using CA-Markov Model
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[57] Cellular automata modeling for urban and regional planning
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[58] Historic and Simulated Desert-Oasis Ecotone Changes in the Arid Tarim River Basin, China
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[79] Prediction of Land Use Changes Using the CA-Markov and LCM Models in the Kozehtopraghi Watershed in the Province of Ardabil
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[82] geospatial assessment of land use and land cover dynamics in the mid-zone of ghana
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[85] 云环境下基于 CA-Markov 的土地利用变化预测方法
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[90] Land Use Change Prediction Method Based on CA-Markov Model Under Cloud Computing Environment
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[102] Predicting land use changes in northern China using logistic regression, cellular automata, and a Markov model
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[104] Dramatic Loss of Agricultural Land Due to Urban Expansion Threatens Food Security in the Nile Delta, Egypt
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[122] Factor analysis for aerosol optical depth and its prediction from the perspective of land-use change
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[123] Land Use Change at the Historical Tourist Attractions of Umm Qais, Jordan: GIS and Markov Chain Analyses
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[125] Assessment of land cover and land use change impact on soil loss in a tropical catchment by using multitemporal SPOT‐5 satellite images and R evised U niversal …
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[127] Monitoring and predicting land use and land cover changes using remote sensing and GIS techniques—A case study of a hilly area, Jiangle, China
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[129] Spatiotemporal Analysis of the Sea of Galilee Area Using Remote Sensing and GIS-Based Model: Markov–Cellular Automata
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[130] Analysing past land use land cover change and CA-Markov-based future modelling in the Middle Suluh Valley, Northern Ethiopia
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[131] A GIS-based integrative approach for land use optimization in a semi-arid watershed
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[132] A Short Presentation of CA_MARKOV
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[135] Simulation of changes in land use/land cover on wetlands through CA-Markov model
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[136] Projection and probability of land use change in Zoquiapan, Mexico: considerations for forest management
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[137] Comparison of land use and climate change impacts on runoff in a small mountainous catchment (case study: garin dam catchment)
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[138] Projection and probability of land use change in Zoquiapan, Mexico: considerations for forest management.
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[143] Cellular automata and Markov Chain (CA_Markov) model-based predictions of future land use and land cover scenarios (2015–2033) in Raya, northern Ethiopia
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[144] Exploring the potential climate change impact on urban growth in London by a cellular automata-based Markov chain model
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[145] Modeling the Spatio-temporal dynamics and evolution of land use and land cover (1984–2015) using remote sensing and GIS in Raya, Northern Ethiopia
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[151] Linking socioeconomic development, sea level rise, and climate change impacts on urban growth in New York City with a fuzzy cellular automata-based Markov chain …
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[152] Hydrological Responses to Climate and Land Use Change at Watershed Scale_ Malaysia
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[161] Using Cellular Automata-Markov Analysis and Multi Criteria Evaluation for Predicting the Shape of the Dead Sea
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[162] Comparison of simulation models in terms of quantity and allocation of land change
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[165] Multi-objective-based modeling for land use change analysis in the South West of Selangor, Malaysia
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[166] CA-Markov for Predicting Land Use Changes in Tropical Catchment Area: A Case Study in Cameron Highland, Malaysia
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[167] Land Suitability Modeling for Gram Crop using Remote Sensing and GIS: A Case Study of Seonath Basin, India
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[170] CA-Markov for predicting land use changes in tropical catchment area: a case study in Cameron Highland, Malaysia.
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[185] Comparison between pixel-and object-based image classification of a tropical landscape using Système Pour l'Observation de la Terre-5 imagery
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[186] Spatial and Temporal Modeling of Land use/Land cover Change at the Ca River Basin (North Central Viet Nam) Using Markov Chain and Cellular Automata …
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