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Remote Sensing and GIS for Monitoring Urbanization and Urban Health

Remote sensing technology and Geographic Information Systems (GIS) have made significant advancements in the field of urban health, playing crucial roles in monitoring and analyzing urban expansion, land cover changes, urban heat island effects, and flood simulation. These developments indicate that...

Täydet tiedot

Tallennettuna:
Aineistotyyppi: Online
Kieli:englanti
Julkaistu: MDPI - Multidisciplinary Digital Publishing Institute 2025
Aiheet:
bacterial foodborne disease
global logistic regression
geographically weighted logistic regression
urban and rural areas
vulnerability
built environment
human health
air pollution
GIS
moderating effect
building extraction
semantic segmentation
group normalization
deformable convolution
remote sensing images
time ring data
long time series
spatio-temporal characteristics
Amazon forest cover
urban expansion
nighttime light
cellular automata
urban growth
shared socioeconomic pathways
allometric scaling
land-use change
landslide hazard assessment
remote sensing data
XGBoost algorithm
highway
pre-trained model
night-time lights
Google Aggregated Mobility Research Dataset
human mobility
Africa
rural and urban classification
GEE
RSEI
ecological environmental quality
Lhasa–Nyingchi Motorway
industrial agglomeration
GDP
points of interest
Gaussian process
urbanization
contracting and expanding city
carbon emissions
low-carbon city
city attributes
built-up area
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
Linkit:ONIX_20250220_9783725828517_463
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