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GIS and remote sensing-based analysis of the impacts of land use/land cover change (LULCC) on the environmental sustainability of Ekiti State, southwestern Nigeria
Appraisal of kappa-based metrics and disagreement indices of accuracy assessment for parametric and nonparametric techniques used in LULC classification and change detection
Optimizing multi-resolution segmentation scale using empirical methods: Exploring the sensitivity of the supervised discrepancy measure Euclidean distance 2 (ED2)
A comparison of the integrated fuzzy object-based deep learning approach and three machine learning techniques for land use/cover change monitoring and environmental impacts assessment
Water Bodies’ Mapping from Sentinel-2 Imagery with Modified Normalized Difference Water Index at 10-m Spatial Resolution Produced by Sharpening the SWIR Band
Mapping Annual Land Use and Land Cover Changes in the Yangtze Estuary Region Using an Object-Based Classification Framework and Landsat Time Series Data
Assessing the influence of climate and land use/land cover changes on groundwater levels in arid and semi-arid regions: a geoinformatics-based machine learning approach in the Iraqi Kurdistan Region
A hybrid approach for soil classification: integrating lightweight convolutional neural network, attention mechanisms, and color features under resource constraints
A machine learning approach to investigate the impact of land use land cover (LULC) changes on groundwater quality, health risks and ecological risks through GIS and response surface methodology (RSM)
A method for classifying habitat quality grades using time series remote sensing images based on enhanced temporal supervision transfer distillation learning model
Long-Term Air Pollution and Health Risks in Erbil, Kurdistan-Iraq: A Satellite-Based Assessment
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