Remote Sensing and GIS for Monitoring Urbanization and Urban Health
Materialtyp:
ArtikelUtgivningsinformation: Basel MDPI - Multidisciplinary Digital Publishing Institute 2024Beskrivning: 1 electronic resource (204 p.)Innehållstyp: - text
- computer
- online resource
- 9783725828517
- 9783725828524
- Reference, Information and Interdisciplinary subjects
- Research and information: general
- Africa
- Amazon forest cover
- GDP
- GEE
- GIS
- Gaussian process
- Google Aggregated Mobility Research Dataset
- Lhasa–Nyingchi Motorway
- RSEI
- XGBoost algorithm
- air pollution
- allometric scaling
- 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
- geographically weighted logistic regression
- global logistic regression
- group normalization
- highway
- human health
- human mobility
- industrial agglomeration
- land-use change
- landslide hazard assessment
- long time series
- low-carbon city
- moderating effect
- night-time lights
- nighttime light
- points of interest
- pre-trained model
- remote sensing data
- remote sensing images
- 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
Open Access Unrestricted online access star
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 the application of remote sensing and GIS in urban health is continuously deepening, providing powerful tools for urban planning and management. The aim of this reprint is to immerse the reader in the latest methodological models and applications of remote sensing, GIS, and big data in the fields of urban development, healthy cities, and environmental health. This reprint brings together the latest research findings from numerous scholars in the fields of environmental science, urban and rural planning, public health, remote sensing, and GIS applications. Innovations in data methods are evident in these studies, such as the introduction and application of dendrochronological data concepts and analytical methods. There is also research that integrates big data from the internet and various remote sensing data to study urban land use, transportation, public service facilities, and infectious diseases. The advancements in these areas indicate that the application of remote sensing and GIS in the field of urban health is continuously providing powerful tools for urban planning and management. As technology evolves, the application of these technologies in the field of urban health is expected to become more extensive and profound in the future.
Creative Commons Licence cc by cc https://creativecommons.org/licenses/by/4.0/
eng
Freely available e-book