Remote Sensing and GIS for Monitoring Urbanization and Urban Health (MDPI - Multidisciplinary Digital Publishing Institute, 2024)
Keywords: Africa; air pollution; allometric scaling; Amazon forest cover; bacterial foodborne disease; building extraction; built environment; built-up area; carbon emissions; cellular automata; city attributes; contracting and expanding city; deformable convolution; ecological environmental quality; Gaussian process; GDP; GEE; geographically weighted logistic regression; GIS; global logistic regression; Google Aggregated Mobility Research Dataset; group normalization; highway; human health; human mobility; industrial agglomeration; land-use change; landslide hazard assessment; Lhasa–Nyingchi Motorway; long time series; low-carbon city; moderating effect; night-time lights; nighttime light; points of interest; pre-trained model; Reference, Information and Interdisciplinary subjects; remote sensing data; remote sensing images; Research and information: general; RSEI; rural and urban classification; semantic segmentation; shared socioeconomic pathways; spatio-temporal characteristics; time ring data; urban and rural areas; urban expansion; urban growth; urbanization; vulnerability; XGBoost algorithm