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Special Issue "Urban Modeling: Simulating Urban Growth and Subsequent Landscape Change"
Deadline for manuscript submissions: 31 December 2020.
Interests: urban growth; remote sensing; urban growth modeling; scenarios
Monitoring and modeling land use and cover changes (LUCC) associated with urbanization are of great importance to understanding how urban expansion and subsequent landscape changes interact with ecological and social processes. Many computational urban growth models were developed and applied in order to improve our understanding of spatial urban expansion dynamics and behavior, develop hypotheses, and predict or project future LUCC. Several reviews show that these existing models vary widely in underlying the theoretical assumptions and methodological approaches. Most of them are based on an empirical modeling framework using historical, remotely sensed images and biophysical and socio-economic data. Despite recent advances, urban growth modeling continues to raise several issues, particularly those related to the calibration and validation processes. Therefore, there is a need to continue developing new algorithms and innovative methodological approaches in order to capture the dynamic and non-linear human–environment processes that drive complex urban growth changes.
This Special Issue aims at collecting new developments and methodologies about your recent research on urban growth modeling. Accordingly, we would like to invite you to submit articles that provide the community with the most recent advancements, practices, and applications on all aspects of urban growth modeling and simulation, including, but not limited to, the following:
- New approaches and models for urban growth modeling and simulation;
- Developing robust methods and algorithms for model calibration and validation;
- 3D modeling of urban growth;
- Uncertainty, remote sensing data, and scales requirements for urban growth and subsequent landscape changes modeling;
- Non-stationarity of land use changes in calibrating and validating urban growth models;
- Emerging and innovative methods of urban growth scenarios development;
- Urban growth models to support adaptation decision, strategic planning, and sustainability assessment of urban land-use policy;
- Comparative studies of urban growth models;
- Comparative applications of urban growth simulations to various urban contexts.
Dr. Rahim Aguejdad
Dr. Thomas Houet
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 papers will be 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 2000 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.
- urban growth
- modeling and simulation
- model calibration and validation
- non-stationary urban growth
- urban remote sensing
- land use and cover change
- landsacpe change
- sustainable urban development scenarios