Recent Advances of Urban Development Scenarios Simulation Using Remote Sensing and GIS II
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Urban Remote Sensing".
Deadline for manuscript submissions: closed (31 December 2023)
Special Issue Editors
Interests: nighttime light remote sensing; urban remote sensing; GIS development
Special Issues, Collections and Topics in MDPI journals
Interests: spatiotemporal data mining; environment and health
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; urban geography; sustainable development
Special Issues, Collections and Topics in MDPI journals
Interests: nighttime light remote sensing; urban remote sensing; urban geography
Special Issue Information
Dear Colleagues,
Urban growth is a spatial and social evolutionary process that is associated with urban spatial changes, shifts in people's lifestyles, and demographic changes. Urban development scenario simulation plays a significant role in urban planning and management. The increasing advances in remote sensing (RS) and geographic information system (GIS) technology are changing the way people understand urban development. GIS can integrate spatial data from different sources as the input data for urban development simulation, and RS obtains the information of urban dynamic changes in a high spatial and temporal resolution.
Recently, various models and methods have been employed to model and predict the urban growth process, such as the linear regression model, cellular automata model, system dynamics model, etc. In addition, a series of remote sensing images, including nighttime light (NTL) data, light detection and ranging (LIDAR) data, Landsat Thematic Mapper (TM)/Operational Land Imager and Thermal Infrared Sensor (OLI-TIRS) data, etc., have brought unique perspectives and opportunities for urban simulation research.
This Special Issue is the second edition of the Special Issue: “Recent Advances of Urban Development Scenarios Simulation using Remote Sensing and GIS” and is further devoted to advancing our understanding of the urbanization process, as well as its impacts on human behavior and environmental dynamics, via geo-technologies such as new remote sensing technologies, big geospatial data collections, new sensors, and advanced GIS technology and processing methodologies, as they are applied to urban development simulation and used to guide the management of sustainable urban development. We welcome submissions from urban remote sensing, GIS, and urban studies areas, including, but not limited to:
- New methodologies in urban development scenario simulation;
- Big geospatial data in urban development scenario simulation;
- Human activity multidimensional representation in the process of urbanization;
- Environmental impact assessment in the process of urbanization;
- VGI (volunteered geographic information) in urban development scenario simulation;
- Urban development and human health.
Dr. Zuoqi Chen
Dr. Jingwei Shen
Dr. Yuanzheng Cui
Dr. Kaifang Shi
Dr. Bin Wu
Guest Editors
Manuscript Submission Information
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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
- GIS
- scenarios simulation
- urban development
- nighttime light data
- urbanization
- urban environmental sustainability
- spatiotemporal dynamics
- LiDAR
- urban planning
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