AIMC Topic: Urbanization

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Monitoring temporal changes in large urban street trees using remote sensing and deep learning.

PloS one Jun 26, 2025
In the rapidly changing dynamics of urbanization, urban forests offer numerous benefits to city dwellers. However, the information available on these resources is often outdated or non-existent, leading in part to inequitable access to these benefits...
Humans Ecosystem Deep Learning Trees San Francisco Remote Sensing Technology Urbanization Forests Cities
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Evaluating the change and trend of construction land in Changsha City based GeoSOS-FLUS model and machine learning methods.

Scientific reports Mar 20, 2025
This study systematically analyzes the land use changes in Changsha City from 2000 to 2023. Three classification models-Random Forest (RF), Gradient Boosting Decision Tree (GBDT), and Artificial Neural Network (ANN) were employed to evaluate the accu...
Neural Networks, Computer Conservation of Natural Resources Cities Urbanization Machine Learning Models, Theoretical China Environmental Monitoring
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Urban change detection: assessing biophysical drivers using machine learning and Google Earth Engine.

Environmental monitoring and assessment Mar 20, 2025
Urban areas are experiencing rapid transformations, driven by population growth, economic development, and policy changes. Understanding and monitoring these dynamic changes is crucial for sustainable urban planning and management. This study leverag...
Environmental Monitoring Nigeria Urbanization Machine Learning Cities
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Exploring the impact of natural and human activities on vegetation changes: An integrated analysis framework based on trend analysis and machine learning.

Journal of environmental management Jan 17, 2025
Climate, human activities and terrain are crucial factors influencing vegetation changes. Despite their crucial role, there is a notable lack of research exploring the nonlinear relationships between them and vegetation changes, especially over exten...
Plants Climate China Urbanization Pattern Analysis, Machine Humans Human Activities Machine Learning
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Exploring the impact of land use on bird diversity in high-density urban areas using explainable machine learning models.

Journal of environmental management Jan 11, 2025
Amid rapid urbanization, land use shifts in cities globally have profound effects on ecosystems and biodiversity. Birds, as a crucial component of urban biodiversity, are highly sensitive to environmental changes and often serve as indicator species ...
Cities Biodiversity Urbanization Conservation of Natural Resources Ecosystem Birds China Machine Learning Animals
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Spatiotemporal analysis of land surface temperature and land cover changes in Prešov city using downscaling approach and machine learning algorithms.

Environmental monitoring and assessment Jan 3, 2025
In recent decades, global climate change and rapid urbanization have aggravated the urban heat island (UHI) effect, affecting the well-being of urban citizens. Although this significant phenomenon is more pronounced in larger metropolitan areas due t...
Spatio-Temporal Analysis Cities Environmental Monitoring Algorithms Temperature Urbanization Slovakia Support Vector Machine Climate Change Machine Learning
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Ensemble intelligence prediction algorithms and land use scenarios to measure carbon emissions of the Yangtze River Delta: A machine learning model based on Long Short-Term Memory.

PloS one Dec 9, 2024
Land use in urban agglomerations is the main source of carbon emissions, and reducing them and improving land use efficiency are the keys to achieving sustainable development goals (SDGs). To advance the literature on densely populated cities and hig...
Urbanization Cities Machine Learning Algorithms Environmental Monitoring Carbon China Rivers Sustainable Development Humans Neural Networks, Computer
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Multi-temporal image analysis of wetland dynamics using machine learning algorithms.

Journal of environmental management Nov 10, 2024
Wetlands play a crucial role in enhancing groundwater quality, mitigating natural hazards, controlling erosion, and providing essential habitats for unique flora and wildlife. Despite their significance, wetlands are facing decline in various global ...
Machine Learning Algorithms Environmental Monitoring Climate Change Ecosystem Urbanization Conservation of Natural Resources Wetlands
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Leveraging machine learning algorithms in dynamic modeling of urban expansion, surface heat islands, and carbon storage for sustainable environmental management in coastal ecosystems.

Journal of environmental management Sep 20, 2024
Climate change and rapid urbanization are dramatically altering coastal ecosystems worldwide, with significant implications for land surface temperatures (LST) and carbon stock concentration (CSC). This study investigates the impacts of day and night...
Algorithms Ecosystem Carbon Machine Learning Urbanization Carbon Sequestration Climate Change Bangladesh
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Predicting Prayagraj's Urbanization Trajectory using CA-ANN Modelling: Population Pressures and Land Use Dynamics.

Journal of environmental management Sep 11, 2024
Land Use/Land Cover (LULC) dynamics provide a crucial role in the monitoring, planning, and management of resources. They also offer valuable information for developing strategies to balance conservation efforts, resolve conflicts between different l...
Agriculture Conservation of Natural Resources Urbanization Neural Networks, Computer India Humans
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