[1]
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URBAN GROWTH SIMULATION: A CASE STUDY
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[2]
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Multi-temporal analysis of past and future land cover change in the highly urbanized state of Selangor, Malaysia
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Ecological Processes,
2022 |
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[3]
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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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Sustainability,
2022 |
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[4]
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Assessment of land use land cover changes and future predictions using CA-ANN simulation for selangor, Malaysia
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Water,
2022 |
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[5]
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Impacts of climate and land-use change on groundwater recharge in the semi-arid lower Ravi River basin, Pakistan
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Groundwater for …,
2022 |
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[6]
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Land-use change and its driving factors in Henan province from 1995 to 2015
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Arabian Journal of Geosciences,
2022 |
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[7]
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Comparing the structural uncertainty and uncertainty management in four common Land Use Cover Change (LUCC) model software packages
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Álvarez, MTC Olmedo, H Van Delden… - … Modelling & Software,
2022 |
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[8]
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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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Land,
2022 |
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[9]
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Simulation and Optimization of Supply and Demand Pattern of Multiobjective Ecosystem Services—A Case Study of the Beijing-Tianjin-Hebei Region
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Sustainability,
2022 |
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[10]
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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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Sustainability,
2022 |
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[11]
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Application of multi layer perceptron neural network Markov Chain model for LULC change detection in the Sub-Himalayan North Bengal
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Remote Sensing Applications …,
2022 |
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[12]
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Multi-scenario based urban growth modeling and prediction using earth observation datasets towards urban policy improvement
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Geocarto …,
2022 |
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[13]
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Impacts of climate and land use/cover changes in streamflow in Kibungo sub-catchment, Tanzania
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Heliyon,
2022 |
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[14]
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Prediction of Land use land cover Changes of a river basin using the CA-Markov Model
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Geocarto International,
2022 |
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[15]
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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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Arabian Journal of Geosciences,
2022 |
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[16]
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A Comprehensive Assessment and Modeling of Land Use Changes in a Flood-Prone Watershed, Northeast of Iran
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Journal of the Indian …,
2022 |
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[17]
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Landuse/landcover monitoring and spatiotemporal modelling using multilayer perceptron and 'multilayer perceptron'-Markov Chain ensemble models: A case study of …
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… Series: Earth and …,
2022 |
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[18]
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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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Journal of Water and …,
2022 |
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[19]
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Quantifying both climate and land use/cover changes on runoff variation in Han River basin, China
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Frontiers of Earth Science,
2022 |
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[20]
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Land cover change detection in the Turkish coastal zone based on 28-year (1990–2018) Corine data
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Environmental Monitoring and Assessment,
2022 |
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[21]
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Structural uncertainty and uncertainty management in four common Land Use Cover Change (LUCC) model software packages. A comparison
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Álvarez, MTC Olmedo, H Van Delden,
2022 |
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[22]
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A Test of the Markov Prediction Model: The Case of Isparta
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Journal of Architectural …,
2022 |
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[23]
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Long-term land use land cover change and its impact on ecosystem services: a comprehensive study in Guangdong, Hong Kong, and Macau (GHKM) region
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2022 |
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[24]
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Prediksi Perubahan Kawasan Hutan Mangrove Menggunakan Model Land Change Modeler Berbasis Citra Satelit Penginderaan Jauh
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Jurnal Tekno Insentif,
2022 |
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[25]
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半干旱地区矿区土地利用时空演变与预测
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干旱区研究,
2022 |
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[26]
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Prediksi Perubahan Kawasan Hutan Mangrove Menggunakan Model Cellular Automata Markov pada Citra Penginderaan Jauh Landsat (Studi Kasus: Kawasan …
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Rekayasa Hijau: Jurnal …,
2022 |
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[27]
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Study on landscape pattern of Hegang City based on ANN-CA-Markov model
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2022 |
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[28]
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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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Journal of Water and …,
2022 |
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[29]
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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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JWSS-Isfahan University of Technology,
2021 |
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[30]
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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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علوم آب و خاک (Isfahan University of Technology),
2021 |
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[31]
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08. ỨNG DỤNG MÔ HÌNH TOÁN VÀ KỸ THUẬT GIS TRONG DỰ BÁO BIẾN ĐỘNG ĐẤT ĐAI TRÊN ĐỊA BÀN THÀNH PHỐ QUY NHƠN
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Science Journal of Natural Resources and …,
2021 |
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[32]
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Urban Land Use Land Cover Change Detection: A Case Study Of Adama City, Ethiopia.
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2021 |
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[33]
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渭河流域蓝绿水对土地利用变化的响应模拟.
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Transactions of the …,
2021 |
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[34]
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Land cover change from National to global scales: A spatiotemporal assessment of trajectories, transitions and drivers
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2021 |
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[35]
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Modeling the Effects of Land Use and Land Cover Changes on Desertification Intensity in Mokhtaran Plain Using CA-Markov Method
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Desert …,
2021 |
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[36]
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PREDIKSI PERUBAHAN TUTUPAN LAHAN DENGAN MODEL MARKOV CHAIN DAN ANN-MARKOV DI DAS KRUENG ACEH (Land cover change prediction using …
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… Daerah Aliran Sungai …,
2021 |
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[37]
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Climate and anthropogenic footprints implications on the surface and groundwater dynamics on the southern slopes of Mount Kilimanjaro, Tanzania
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2021 |
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[38]
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Geospatial environmental modeling of forest declining trend in Eastern Himalayan biodiversity hotspot region
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Forest Resources Resilience and Conflicts,
2021 |
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[39]
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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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Sustainability,
2021 |
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[40]
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Integration of Sentinel-1 and Sentinel-2 Data with the G-SMOTE Technique for Boosting Land Cover Classification Accuracy
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Applied Sciences,
2021 |
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[41]
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Simulating urban expansion based on ecological security pattern—a case study of Hangzhou, China
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International Journal of …,
2021 |
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[42]
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Remote sensing-based urban sprawl modeling using multilayer perceptron neural network markov chain in Baghdad, Iraq
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Hameedi, J Chen, C Faichia, B Al-Shaibah… - Remote Sensing,
2021 |
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[43]
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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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Ecological Indicators,
2021 |
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[44]
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Monitoring Land Use Changes and Their Future Prospects Using GIS and ANN-CA for Perak River Basin, Malaysia
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Water,
2021 |
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[45]
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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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2021 |
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[46]
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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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2021 |
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[47]
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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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2021 |
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[48]
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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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2021 |
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[49]
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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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2021 |
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[50]
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IMPROVING THE CONSISTENCY OF MULTI-TEMPORAL LAND COVER MAPPING OF LAGUNA LAKE WATERSHED USING LIGHT GRADIENT BOOSTING …
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2021 |
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[51]
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Geospatial land surface-based thermal scenarios for wetland ecological risk assessment and its landscape dynamics simulation in Bayanbulak Wetland, Northwestern …
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2021 |
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[52]
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Geospatial modelling of land use/land cover dynamics in the Gongola basin for water resource applications through CA-Markov
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2021 |
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[53]
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Historic and Simulated Desert-Oasis Ecotone Changes in the Arid Tarim River Basin, China. Remote Sens. 2021, 13, 647
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2021 |
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[54]
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The Influence of the Calibration Interval on Simulating Non-Stationary Urban Growth Dynamic Using CA-Markov Model
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2021 |
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[55]
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ﻪﺼﺨﺸﻣ يﺪﻨﺑ ﻞﮕﻨﺟ ﯽﻤﮐ يﺎﻫ هداد زا هدﺎﻔﺘﺳا ﺎﺑ سﺮﮔاز يﺎﻫ ﺖﺳﺪﻨﻟ هراﻮﻫﺎﻣ يﺎﻫ 8
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2021 |
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[56]
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Spatial modeling of land use and land cover change in Sulaimani, Iraq, using multitemporal satellite data
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2021 |
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[57]
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Cellular automata modeling for urban and regional planning
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2021 |
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[58]
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Historic and Simulated Desert-Oasis Ecotone Changes in the Arid Tarim River Basin, China
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2021 |
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[59]
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Predicting land use/cover changes and its association to agricultural production on the slopes of Mount Kilimanjaro, Tanzania
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2021 |
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[60]
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Scenario-based simulation of land use in Yingtan (Jiangxi Province, China) using an integrated genetic algorithm-cellular automata-Markov model.
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2020 |
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[61]
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Modeling flood plain wetland transformation in consequences of flow alteration in Punarbhaba river in India and Bangladesh
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2020 |
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[62]
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Analysis and projection of land-use/land-cover dynamics through scenario-based simulations using the CA-Markov model: A case study in guanting reservoir basin …
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2020 |
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[63]
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Identification before-after forest fire and prediction of mangrove forest based on Markov-cellular automata in part of Sembilang national park, Banyuasin, South …
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2020 |
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[64]
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Analysis and Projection of Land-Use/Land-Cover Dynamics through Scenario-Based Simulations Using the CA-Markov Model: A Case Study in Guanting Reservoir …
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2020 |
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[65]
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Projection of future land use/cover change in the Izeh-Pyon Plain of Iran using CA-Markov model
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2020 |
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[66]
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Simulating urban land use and cover dynamics using cellular automata and Markov chain approach in Addis Ababa and the surrounding
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2020 |
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[67]
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Modelling land use and land cover dynamics of Dedza district of Malawi using hybrid Cellular Automata and Markov model
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2020 |
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[68]
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Quantitatively Assessing and Attributing Land Use and Land Cover Changes on China's Loess Plateau
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2020 |
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[69]
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Modeling land cover change dynamic using a hybrid model approach in Qeshm Island, Southern Iran
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2020 |
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[70]
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Geo-simulation of land use/cover scenarios and impacts on land surface temperature in Sapporo, Japan
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2020 |
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[71]
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Analysis of past and future multi-temporal land use and land cover changes in the semi-arid Upper-Mzingwane sub-catchment in the Matabeleland south province of …
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2020 |
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[72]
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Improving land-use change modeling by integrating ANN with Cellular Automata-Markov Chain model
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2020 |
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[73]
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Modeling the Impact of Urbanization on Land-Use Change in Bahir Dar City, Ethiopia: An Integrated Cellular Automata–Markov Chain Approach
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2020 |
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[74]
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Identifying factors and predicting the future land-use change of protected area in the agricultural landscape of Malaysian peninsula for conservation planning
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2020 |
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[75]
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Hybrid modelling approach for water body change detection at Chalan Beel area in northern Bangladesh
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2020 |
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[76]
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Spatiotemporal Changes and Simulation of the Architectural Ethnicity at World Heritage Sites under Tourism Development
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2020 |
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[77]
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An urban growth simulation model based on integration of local weights and decision risk values
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2020 |
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[78]
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Comparison of three hybrid models to simulate land use changes: a case study in Qeshm Island, Iran
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2020 |
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[79]
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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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2020 |
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[80]
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Effect of the thematic resolution of land use data on urban expansion simulations using the CA-Markov model
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2020 |
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[81]
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Modelling land Use, land cover and environmental dynamics for Sustainable Urban Planning and Management in Addis Ababa and the surrounding Oromia …
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2020 |
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[82]
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geospatial assessment of land use and land cover dynamics in the mid-zone of ghana
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2020 |
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[83]
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Prediction of forest cover changes for Boyer-Ahmad region using Geomod model
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2020 |
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[84]
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Analysis and prediction of urban growth and its impact on land use using remote sensing and CA-Markov; Case study: Marivan, Baneh and Saqqez cities
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2020 |
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[85]
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云环境下基于 CA-Markov 的土地利用变化预测方法
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2020 |
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[86]
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Scenario-based simulation of land use in Yingtan (Jiangxi Province, China) using an integrated genetic algorithm-cellular automata-Markov model
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Environmental Science and Pollution …,
2020 |
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[87]
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Three-dimensional calibration of land use changes using the integrated model of Markov chain automatic cell in Gorgan-rud river basin
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Journal of RS and …,
2020 |
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[88]
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气候与土地利用变化对汉江流域径流的影响
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ACTA GEOGRAPHICA …,
2020 |
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[89]
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Monitoring and prediction spatiotemporal vegetation changes using NDVI index and CA-Markov model (case study: Kermanshah city)
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Environmental Sciences,
2020 |
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[90]
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Land Use Change Prediction Method Based on CA-Markov Model Under Cloud Computing Environment
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武汉大学学报● 信息科学版,
2020 |
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[91]
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Classification of quantitative attributes of Zagros forest using Landsat 8-OLI and Random Forest algorithm (Case study: protected area of Manesht forests)
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Forest Research and …,
2019 |
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[92]
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طبقهبندی مشخصههای کمی جنگلهای زاگرس با استفاده از دادههای ماهواره لندست 8-OLI و الگوریتم Random Forest (بررسی موردی جنگلهای حفاظتی مانشت)
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2019 |
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[93]
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Cenários Futuros para Cidades Inteligentes
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2019 |
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[94]
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基于 CA-Markov 模型的多时间跨度土地利用变化模拟
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2019 |
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[95]
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Impacts of future climate and landuse changes on surface-groundwater balance in Usangu catchment
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2019 |
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[96]
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اولویت بندی عوامل مؤثر در وقوع زمین لغزش با استفاده از روش رگرسیون لجستیک (مطالعه موردی: بخشی از زون کپه داغ-هزار مسجد)
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2019 |
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[97]
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Simulation and prediction of land use and land cover change using GIS, remote sensing and CA-Markov model
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2019 |
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[98]
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Parallel Cellular Automata Markov Model for Land Use Change Prediction over MapReduce Framework
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2019 |
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[99]
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Prioritization of Landslide Effective Factors using Logistic Regression (Case Study: A part of KopeDagh-HezarMasjedZone)
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2019 |
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[100]
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淮南市土地利用程度变化过程的时空演化特征.
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2019 |
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[101]
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Improving the accuracy and reliability of land use/land cover simulation by the integration of Markov cellular automata and landform-based models _ a case …
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2019 |
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[102]
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Predicting land use changes in northern China using logistic regression, cellular automata, and a Markov model
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2019 |
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[103]
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MapReduce-based D_ELT framework to address the challenges of geospatial big data
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2019 |
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[104]
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Dramatic Loss of Agricultural Land Due to Urban Expansion Threatens Food Security in the Nile Delta, Egypt
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2019 |
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[105]
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Intensity Analysis and the Figure of Merit's components for assessment of a Cellular Automata–Markov simulation model
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2019 |
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[106]
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Scenario-based modelling for urban sustainability focusing on changes in cropland under rapid urbanization: A case study of Hangzhou from 1990 to 2035
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2019 |
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[107]
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Improving the accuracy and reliability of land use/land cover simulation by the integration of Markov cellular automata and landform-based models _ a case study in …
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2019 |
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[108]
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Simulating and forecasting spatio-temporal characteristic of land-use/cover change with numerical model and remote sensing: a case study in Fuxian Lake Basin …
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2019 |
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[109]
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URBAN WETLANDS CHANGES ON THE STATUS OF CITY DEVELOPMENT IN CHINA
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2019 |
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[110]
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Assessment and prediction of spatial patterns of human-elephant conflicts in changing land cover scenarios of a human-dominated landscape in North …
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2019 |
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[111]
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Predicting Urban Expansion and Urban Land Use Changes in Nakhon Ratchasima City Using a CA-Markov Model under Two Different Scenarios
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2019 |
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[112]
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Evaluating Land Use and Land Cover Change in the Gaborone Dam Catchment, Botswana, from 1984–2015 Using GIS and Remote Sensing
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2019 |
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[113]
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Análisis de patrones espaciales en la expansión urbana de ciudades intermedias. El caso de San Fernando, Chile
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2019 |
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[114]
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Analysis and Prediction of Land Use Change in Yazd-Ardakan Plain
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2019 |
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[115]
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SPATIAL EXPLICIT MODELING TO UNDERSTAND THE DYNAMICS OF LANDUSE SWITCH USING OPEN SOURCE SATELLITE DATA
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2018 |
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[116]
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Performance comparison of land change modeling techniques for land use projection of arid watersheds
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2018 |
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[117]
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Modelação das alterações de uso e ocupação do solo em Portugal: uma abordagem multiescala e multitemporal
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2018 |
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[118]
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Proyección y probabilidad de cambio de uso de suelo en Zoquiapan, México: consideraciones para su manejo forestal
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2018 |
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[119]
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Revista Brasileira de Geografia Física
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2018 |
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[120]
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Assessing Land Use/Land Cover Dynamic and Its Impact in Benin Republic Using Land Change Model and CCI-LC Products
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2018 |
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[121]
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MODELLING THE LAND USE AND LAND COVER CHANGES IN PORTUGAL: A MULTI-SCALE AND MULTI-TEMPORAL APPROACH
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2018 |
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[122]
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Factor analysis for aerosol optical depth and its prediction from the perspective of land-use change
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Ecological Indicators,
2018 |
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[123]
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Land Use Change at the Historical Tourist Attractions of Umm Qais, Jordan: GIS and Markov Chain Analyses
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International Journal of Historical Archaeology,
2018 |
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[124]
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中国城市发展与湿地保护研究
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2018 |
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[125]
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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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Land degradation & development,
2018 |
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[126]
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MODELLING LAND USE AND LAND COVER CHANGES IN PORTUGAL: A MULTI-SCALE AND MULTI-TEMPORAL APPROACH.
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2018 |
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[127]
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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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PLOS ONE,
2018 |
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[128]
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Scenario-Based Simulation of Tianjin City Using a Cellular Automata–Markov Model
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Sustainability,
2018 |
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[129]
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Spatiotemporal Analysis of the Sea of Galilee Area Using Remote Sensing and GIS-Based Model: Markov–Cellular Automata
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2018 |
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[130]
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Analysing past land use land cover change and CA-Markov-based future modelling in the Middle Suluh Valley, Northern Ethiopia
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2018 |
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[131]
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A GIS-based integrative approach for land use optimization in a semi-arid watershed
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2018 |
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[132]
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A Short Presentation of CA_MARKOV
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Geomatic Approaches for Modeling Land Change Scenarios,
2018 |
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[133]
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Projection and probability of land use change in Zoquiapan, Mexico: considerations for forest management Proyección y probabilidad de cambio de uso de …
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2018 |
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[134]
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GEOSPATIAL APPROACH USING SOCIO-ECONOMIC AND PROJECTED CLIMATE CHANGE INFORMATION FORMODELLING URBAN GROWTH
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2018 |
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[135]
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Simulation of changes in land use/land cover on wetlands through CA-Markov model
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2018 |
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[136]
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Projection and probability of land use change in Zoquiapan, Mexico: considerations for forest management
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2018 |
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[137]
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Comparison of land use and climate change impacts on runoff in a small mountainous catchment (case study: garin dam catchment)
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2018 |
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[138]
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Projection and probability of land use change in Zoquiapan, Mexico: considerations for forest management.
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2018 |
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[139]
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具有慢弛豫磁性的五核四夹层类 Salen 镝配合物
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2017 |
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