Nighttime Light Remote Sensing Products for Urban Applications
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: 30 October 2024 | Viewed by 53
Special Issue Editors
Interests: nighttime lighting remote sensing; regional habitats assessment; spatial mapping
Special Issues, Collections and Topics in MDPI journals
Interests: nighttime light imagery; urbanization; climate change mitigation; time series analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Over the past decades, urbanization has developed rapidly, and urban nighttime light (NTL) has become an indispensable part of the urban landscape. By using Earth observation systems, the remote sensing of NTL undoubtedly gives us a unique perspective that allows us to better understand NTL patterns, population density distribution, and the spatial patterns of urban development in cities, which provides new knowledge and insights for urban planning, resource management, and environmental monitoring.
Recently, the spatial and spectral resolution of NTL remote sensing products has improved, making their application in urban planning and management more precise and effective. These new products provide more dimensional data support for urban research. Moreover, the introduced technologies, such as artificial intelligence and machine learning, make the data processing and analysis of NTL products more intelligent and automated, greatly facilitating knowledge mining and scenario application based on NTL data.
Therefore, this Special Issue intends to stimulate more research and applications on urban NTL remote sensing, bring together the latest research results on NTL products in urban applications, promote exchanges and collaborations among researchers, promote innovations in the field of urban NTL, and fulfill the goal of smarter and more sustainable urban development. Submissions including, but not limited to, the following topics are welcome: NTL data products, urban applications of NTL data, NTL image processing algorithms, etc.
Dr. Zihao Zheng
Dr. Qiming Zheng
Guest Editors
Manuscript Submission Information
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Keywords
- nighttime light remote sensing
- urbanization
- urban light pollution
- ecological impacts of artificial lights
- disaster assessments
- DMSP-OLS
- NPP-VIIRS
- SDGSAT-1
- ISS night photographs
