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A novel algorithm for calculating transition potential in cellular automata models of land-use/cover change
2019
Environmental Modelling & Software
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Here, we introduce DoTRules-a dictionary of trusted rules-as a transparent alternative to calculate transition potential in cellular automata models. ...
Despite recent advances in quantifying land-use/cover change (LUCC) transition potential, transition rules are often not transparent and uncertainty is rarely made explicit. ...
Acknowledgements This research was supported by CSIRO Australian Sustainable Agriculture Scholarship (ASAS) as a top-up scholarship to Majid Shadman, a PhD scholar in the Discipline of Geography and Spatial ...
doi:10.1016/j.envsoft.2018.10.006
fatcat:g2fxzimtebaflk3ze7u4r74aky
A Novel Model Integrating Deep Learning for Land Use/Cover Change Reconstruction: A Case Study of Zhenlai County, Northeast China
2020
Remote Sensing
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In recent decades, land use/cover change (LUCC) due to urbanization, deforestation, and desertification has dramatically increased, which changes the global landscape and increases the pressure on the ...
In view of this circumstance, a deep learning-integrated LUCC reconstruction model (DLURM) was developed in this study. ...
the simulation numbers are as follows
Figure 10 . 10 Land use/cover change (LUCC) historical reconstructions through DLURM, historical land use reconstruction model (HLURM), and cellular automata (CA ...
doi:10.3390/rs12203314
fatcat:biqhggnjujglno66gtilqtmsue
Correlation Analysis between Land-Use/Cover Change and Coastal Subsidence in the Yellow River Delta, China: Reviewing the Past and Prospecting the Future
2021
Remote Sensing
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Moreover, through the land-use prediction of Land Change Modeler (LCM), it is found that the salt field area will be further expanded in the future. ...
Here, the subsidence characteristics of the different land-use types in the Yellow River Delta are examined, and their spatiotemporal trends are quantified using a long-term satellite-observed time series ...
In this study, the Landsat 5, 7, and 8 images were downloaded from the United States Geological Survey (USGS) Global Visualization Viewer (Accessed date: 10 February 2019 http://glovis.usgs.gov/), and ...
doi:10.3390/rs13224563
fatcat:yaxsf6tjvbanvnxpp5zkipjwu4
Spatial Simulation Modelling of Future Forest Cover Change Scenarios in Luangprabang Province, Lao PDR
2011
Forests
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on the Markov-cellular automata (MCA) model. ...
The simulated forest cover map for 2007 was compared to the observed (actual) forest cover map for 2007 in order to test the accuracy of the model. ...
We are grateful for the useful comments and suggestions from Rajesh Bahadur Thapa from the University of Tsukuba in Japan. ...
doi:10.3390/f2030707
fatcat:f3tuvkq25bhpnelddng2cvexni
A Cellular Automata Model for Urban Land-Use Simulation
2005
Environment and Planning, B: Planning and Design
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To address the spatial uncertainty and temporal randomness in land use change, we propose a model for simulating land use change based on Markov chain and cellular automata (CA), and describes its application ...
A spatial-temporal transition matrix was constructed from the classified images and was applied to the proposed model for simulating land use changes in the city of Wuhan. ...
The work presented in this paper was supported by the National Natural Science Foundation of China ...
doi:10.1068/b31110
fatcat:fjidci2qtnhw7gbal3k2zndvza
MODELING OF FUTURE LAND COVER LAND USE CHANGE IN NORTH CAROLINA USING MARKOV CHAIN AND CELLULAR AUTOMATA MODEL
2014
American Journal of Engineering and Applied Sciences
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In this study, satellite-derived land cover maps of year 1992, 2001 and 2006 of North Carolina were integrated within the framework of the Markov-Cellular Automata (Markov-CA) model which combines the ...
There is none modeling study found that predict future Land Cover Land Use (LCLU) change for whole North Carolina. ...
With each CA pass, each LCLU transition suitable map is re-weighted as a result of the 5×5 contiguity filter, which determines the location of the simulated land use/cover class (Pontius and Malanson, ...
doi:10.3844/ajeassp.2014.295.306
fatcat:piymm53bxncupog7khqjtuhnia
Predicting Urban Growth of the Greater Toronto Area - Coupling a Markov Cellular Automata with Document Meta-Analysis
2015
Journal of Environmental Informatics
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A Markov Cellular Automata approach is used deriving the CMA urban future based on the existing and planned strategies for Ontario. ...
For this research we examine past urban land use transitions in Toronto's CMA based on collected remote sensing data between 1973 and 2010. ...
Eric Vaz would like to acknowledge the support of Ryerson University's, Faculty of Arts, through his received New Initiative Award. ...
doi:10.3808/jei.201500299
fatcat:3ubowkgz6jct7pzg7ypybvfjli
Land use scenarios and projections simulation using an integrated GIS cellular automata algorithms
2016
Modeling Earth Systems and Environment
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Therefore, this paper investigates the implementation of an urban growth Cellular automata (CA) model using a GIS platform as a support tool for city planners, economists, urban ecologists and resource ...
This paper presented as a novel application to the integrated CA-GIS model using a complicated land use dynamic system for Shannon catchment. ...
A vector of transition potential rules (one potential for each function) was calculated for each cell from transitional potential, dynamic constraints, elasticity of change and growth cells expectation ...
doi:10.1007/s40808-016-0210-y
fatcat:4oqjo7brbfgbhaq3xq3dg3ojmi
Simulated Impacts of Soy and Infrastructure Expansion in the Brazilian Amazon: A Maximum Entropy Approach
2018
Forests
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Historically, the expansion of soy plantations has been a major driver of land-use/cover change (LUCC) in Brazil. ...
We mapped the areas suitable for undergoing transition to soy plantations in the Legal Amazon with a machine-learning approach adopted from the ecological modeling literature. ...
Conflicts of Interest: The authors declare no conflicts of interest. Forests 2018, 9, 600 ...
doi:10.3390/f9100600
fatcat:mttwkephjjd6zf6rzkenzc4bwu
Urban Growth Modeling Using Cellular Automata with Multi-Temporal Remote Sensing Images Calibrated by the Artificial Bee Colony Optimization Algorithm
2016
Sensors
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Here, we propose a novel CA-based urban change model that uses the ABC algorithm to extract optimum transition rules. ...
Cellular Automata (CA) is one of the most common techniques used to simulate the urbanization process. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s16122122
pmid:27983633
pmcid:PMC5191102
fatcat:62phlnamtndphm36oda7qrxm7m
Change detection from remotely sensed images: From pixel-based to object-based approaches
2013
ISPRS journal of photogrammetry and remote sensing (Print)
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With the wide use of very-high-resolution (VHR) remotely sensed images, object-based methods and data mining techniques may have more potential in change detection. Ó ...
The appetite for up-to-date information about earth's surface is ever increasing, as such information provides a base for a large number of applications, including local, regional and global resources ...
Acknowledgement This research is supported by a grant from the Natural Sciences and Engineering Research Council (NSERC) of Canada. ...
doi:10.1016/j.isprsjprs.2013.03.006
fatcat:dl2bpktsibbdxkdzw5dpbaop5i
Addressing Urban Sprawl from the Complexity Sciences
2019
Urban Science
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Secondly, cellular automata and agent-based models suggest that the prevalence of urban sprawl and fragmentation at the urban fringe emerge from negative spatial interaction between residential agents, ...
Firstly, spatial metrics from landscape ecology provide means of quantifying urban sprawl in terms of increasing fragmentation and diversity of land use patches. ...
A popular CA framework is the Monitoring Land Use/Cover Dynamics (MOLAND) urban and regional model [67] , which integrates economic, demographic, land use and transportation models that operate not only ...
doi:10.3390/urbansci3020060
fatcat:m2z6hi47b5cbfh3cidapamql5m
Modelling Urban Development with Geographical Information Systems and Cellular Automata
2010
Photogrammetric Record
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Since then, different cellular automata models have been developed to simulate urban growth and urban land-use/cover change. ...
All cells are ranked by their highest transition potentials, and the state of each cell will be changed to the state for which it has the highest potential. ...
The outward expansion of urban areas will largely be seen in three major directions. ...
doi:10.1111/j.1477-9730.2010.00593.x
fatcat:qtafjg5qq5cr7n4hbq7pktwqfy
Integrating Spatial and Attribute Characteristics of Extended Voronoi Diagrams in Spatial Patterning Research: A Case Study of Wuhan City in China
2016
ISPRS International Journal of Geo-Information
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The complex systems science modeling techniques offer a potentially appropriate toolbox, notably agent-based modeling and cellular automata, potentially linked to Geographic Information System (GIS) and ...
Techniques, such as Cellular Automata (CA), as rule-based models construct a 'bottom-up' approach, where the structure evolves from a Moran neighborhood interacting between neighboring cells using different ...
We also express our gratitude to the Wuhan municipal bureau of statistics for providing the statistical data and Qiaozhi Wang for proofreading part of the sections. ...
doi:10.3390/ijgi5070120
fatcat:43yexpinkvb6rh2zxkzn75ogme
Implications of land use change for the sustainability of urban areas: A case study of Stellenbosch, South Africa
2013
Cities
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Consequently, planners developed new approaches using disaggregated data in novel urban models such as choice models and cellular automata (Barredo & Demicheli 2003; Feng & Liu 2012) . ...
Examples include measuring physical properties, population, quality-of-life studies, analysis of land use cover change, buildings analysis, transportation studies and monitoring growth and urban sprawl ...
APPENDIX A CD containing data for evaluation the potential of earth observation for supporting sustainable urban land use planning ...
doi:10.1016/j.cities.2013.01.004
fatcat:glyekkpl3vgy3l23z7yu7xfxfi
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