Application of Photogrammetry and Remote Sensing in Urban Areas
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Urban Remote Sensing".
Deadline for manuscript submissions: closed (15 October 2024) | Viewed by 9416
Special Issue Editors
Interests: face recognition; image processing; optics; pattern recognition; remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: GIS; spatial analysis; geosimulation; geomodelling; remote sensing; machine learning
Interests: remote sensing; machine learning; optics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Inhabited by more than 55% of the Earth’s population, urban areas urgently need to address three main challenges: traffic mitigation, eco-system preservation and the prevention of global extreme natural events. Both for public health and for the achievement of Sustainable Development Goals, facing these challenges has become a necessity.
Remote sensing and photogrammetry techniques are of great interest for urban area analysis. Multispectral, hyperspectral, synthetic aperture radar (SAR), LiDAR, and photogrammetry data—either used alone or in combination—have shown their efficiency for urban studies. They are performed at a local scale (when using unmanned aerial vehicles), at a regional scale (when using airborne sensors) or at a global scale (when using satellites). Up-to-date machine learning and data mining advances offer promising results for extracting meaningful information from these big data.
This Special Issue aims to document the most recent advances in the two techniques of photogrammetry and remote sensing for urban environment studies.
Topics of interest include, but are not limited to:
- Comprehensive data constitution for socio-economic analysis and urban planning (urban region function recognition, building height assessment through photogrammetry, etc.);
- Addressing traffic issues and smart human mobility (bus management, delivery truck congestion mitigation, etc.);
- Mitigation of global extreme natural events impact (what-if scenarios, damage mapping and hurricane damage area prediction, river and sea floods, earthquakes, etc.);
- Urban ecology (urban heat islands, vegetation biomass monitoring, urban wildlife watching, etc.);
- Urban growth impact on landscapes (urban sprawl, deforestation, ground slope destabilization, etc.);
- Urban pollution monitoring at local, regional and global scale (urban air quality assessment, water quality assessment, soil contamination detection, anthropic activities mapping, etc.);
- Urban photogrammetry and remote sensing data processing and exploitation (data regularization, data mining, machine learning, etc.);
- Data fusion of urban heterogeneous data arising from photogrammetry, remote sensing, Internet of Things or any other method;
- Urban digital twins.
Dr. Marwa Elbouz
Dr. Gaëtan Palka
Dr. Catherine Baskiotis
Guest Editors
Manuscript Submission Information
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Keywords
- remote sensing
- photogrammetry
- urban heterogeneous data fusion
- urban planning
- urban traffic mitigation
- urban digital twins
- urban pollution monitoring
- global extreme event
- machine learning
- data mining
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