Simulation of urban expansion via integrating artificial neural network with Markov chain–cellular automata
Accurate simulations and predictions of urban expansion are critical to manage urbanization
and explicitly address the spatiotemporal trends and distributions of urban expansion …
and explicitly address the spatiotemporal trends and distributions of urban expansion …
Integrating ANNs and cellular automata–Markov chain to simulate urban expansion with annual land use data
T Xu, D Zhou, Y Li - Land, 2022 - mdpi.com
Accurately simulating and predicting the urban expansion process, especially in expeditious
urbanization areas, is an important aspect of managing limited land resources and adjusting …
urbanization areas, is an important aspect of managing limited land resources and adjusting …
A Random Forests classification method for urban land-use map** integrating spatial metrics and texture analysis
Rapid urban growth in develo** countries is causing a great number of urban planning
problems. To control and analyse this growth, new and better methods for urban land use …
problems. To control and analyse this growth, new and better methods for urban land use …
Urban heat mitigation towards climate change adaptation: An eco-sustainable design strategy to improve environmental performance under rapid urbanization
Rapid urbanization has led to drastic land-use/cover changes (LUCCs) and urban heat
islands (UHIs), negatively altering the urban climate and air quality. LUCC's significant …
islands (UHIs), negatively altering the urban climate and air quality. LUCC's significant …
Modeling urban encroachment on ecological land using cellular automata and cross-entropy optimization rules
Rapid urban expansion often leads to substantial encroachment on ecological lands and
destruction of natural environments. We developed a new cellular automata model (named …
destruction of natural environments. We developed a new cellular automata model (named …
Capturing heterogeneous urban growth using SLEUTH model
Increasing urbanization, especially in develo** countries, promotes the need of
monitoring and modelling of urban growth or sprawl. Urban remote sensing and modelling …
monitoring and modelling of urban growth or sprawl. Urban remote sensing and modelling …
Comparative framework for spatially explicit urban growth modeling for monitoring urban land-use efficiency and sustainable urban development (SDG 11.3. 1): a …
The present study attempts to model the spatiotemporal urban growth of the Kolkata
metropolitan area (KMA), India, in a comparative modeling framework using three (remote …
metropolitan area (KMA), India, in a comparative modeling framework using three (remote …
Remote sensing data and SLEUTH urban growth model: As decision support tools for urban planning
IS Serasinghe Pathiranage, LN Kantakumar… - Chinese Geographical …, 2018 - Springer
Sri Lanka is experiencing speedy urbanization by converting the agriculture land and other
natural land cover into built-up land. The urban population of Sri Lanka is expected to reach …
natural land cover into built-up land. The urban population of Sri Lanka is expected to reach …
Identification of areas highly vulnerable to land conversion: a case study from southern Thailand
N Tantipisanuh, GA Gale - Environmental Management, 2022 - Springer
Land conversion is having major impacts on wildlife globally, and thus understanding and
predicting patterns of land conversion is an important component of conservation planning …
predicting patterns of land conversion is an important component of conservation planning …
Urban environmental and land cover change analysis using the scatter plot, kernel, and neural network methods
AA Jamali, R Ghorbani Kalkhajeh - Arabian Journal of Geosciences, 2019 - Springer
This study simulates and predicts the urban environment growth in the Tehran, capital of
Iran, using the remote sensing data, multi-layer perceptron neural network, zonal, trend, and …
Iran, using the remote sensing data, multi-layer perceptron neural network, zonal, trend, and …