Spatial Analysis and Modeling in Urban Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Urban Remote Sensing".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 115
Special Issue Editors
Interests: urban remote sensing; spatial analysis; environmental modeling; urban functional zone mapping
Interests: urban remote sensing; spatial analysis; spectral analysis; land use land cover mapping
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Urban environments are essential to human beings, with over half of the world’s population residing in urban and suburban areas. In recent decades, urban environments have experienced rapid modifications due to population growth and migration from rural to urban areas. As a result, numerous urban issues, including urban sprawl, congestion, air and water pollution, segregation, flooding, etc., have attracted attention from scholars and urban planners.
Remote sensing technologies provide an innovative means for monitoring, synthesizing, and modeling urban environments. Especially, recent progress in very-high-resolution, hyperspectral, Lidar, and UAV remote sensing techniques, together with traditional medium-resolution and coarse-resolution imagery, have made the comprehensive understanding and modeling of urban environments possible.
This Special Issue emphasizes the application of spatial analysis and modeling techniques for monitoring, synthesizing, and modeling urban environments. Topics of interest include, but are not limited to, the following topics:
- Urban land use/land cover mapping and change analysis;
- New sensors’ (e.g., Lidar, UAV, and hyperspectral) applications in analyzing urban environments;
- Integration of social sensing and/or GeoAI techniques and urban remote sensing;
- Image processing algorithm development for monitoring and modeling urban environments;
- Socio-economic applications (e.g., population, housing, crime, etc.);
- Public health applications (e.g., heat stress);
- Urban planning practices;
- Analysis and modeling of environmental impacts (e.g., flooding, air and water pollution, biodiversity, eco-environment, etc.).
Dr. Wei Fan
Prof. Dr. Changshan Wu
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- remote sensing
- urban environment monitoring and modeling
- unmanned aerial vehicles
- lidar
- hyperspectral sensor
- imaging spectroscopy
- social sensing
- GeoAI
- image processing algorithm
- land use/land cover mapping and change analysis
- socio-economic applications
- public health applications
- urban planning practices
- environmental modeling
- environmental impacts
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