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Special Issue "Applications of Artificial Intelligence in the Study of Land Use and Land Cover Change"

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Use of the Environment and Resources".

Deadline for manuscript submissions: 31 January 2019

Special Issue Editors

Guest Editor
Prof. Dr. Wenwu Tang

Department of Geography and Earth Sciences and Center for Applied Geographic Information Science, the University of North Carolina at Charlotte, Charlotte, NC 28223, USA
Website | E-Mail
Interests: land use and land cover change; complex adaptive spatial systems; GIS and spatial analysis and modeling; agent-based models and spatiotemporal simulation; cyberinfrastructure and high-performance computing
Guest Editor
Prof. Dr. David A. Bennett

Department of Geography and Sustainability Sciences, the University of Iowa, Iowa City, IA 52242, USA
Website | E-Mail
Interests: Geographic Information Science; the process and effects of environmental decision-making; human–environment interactions

Special Issue Information

Dear Colleagues,

Artificial intelligence has been increasingly used to support the study of coupled land systems, which are complex adaptive spatial systems driven by land use and land cover change. These artificial intelligence approaches comprise machine learning (e.g., artificial neural networks), evolutionary computation, and distributed artificial intelligence (e.g., agent-based models, cellular automata, and swarm intelligence). Recent developments in deep learning together with big data represent unique opportunities for using artificial intelligence to further advance spatiotemporally explicit land change modeling. However, applications of these cutting-edge artificial intelligence approaches into the study of land use and land cover change to tackle the associated spatiotemporal complexity pose grand challenges. This Special Issue aims to explore various applications of artificial intelligence approaches to the study of land use and land cover change, including but not limited to, natural resource management, agricultural land management, urban development, archaeology, public health, and transportation. The Special Issue will focus on investigating how cutting-edge artificial intelligence approaches advance the spatiotemporally explicit land change modeling and associated knowledge in these domain studies. This investigation will provide insights into the complexity of related processes and, thus, the sustainability of coupled land systems.

Prof. Dr. Wenwu Tang
Prof. Dr. David A. Bennett
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 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. Sustainability is an international peer-reviewed open access monthly 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 1400 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

  • Land Sustainability
  • Environmental and Resource Sustainability
  • Land Use and Land Cover Change
  • Artificial Intelligence
  • Complex Adaptive Spatial Systems

Published Papers

This special issue is now open for submission.
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