Sustainable and Resilient Perspectives in Digital Landscape Architecture and Planning
A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land Planning and Landscape Architecture".
Deadline for manuscript submissions: closed (31 July 2024) | Viewed by 769
Special Issue Editors
Interests: landscape visualization; geodesign; GIS; climate change
Interests: gamification; landscape architecture; landscape visualization; soundscape; augmented/virtual reality
Interests: landscape visualization; landscape planning; public participation; landscape modelling; landscape perception; landscape assessment
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Current ecological challenges in landscape architecture and planning are unprecedented in scale, complexity and impact. At the same time, digital technologies such as artificial intelligence (AI) and augmented and virtual reality (AR/VR) are developing faster and becoming more powerful than many imagined, propelled in part by the increasing availability of big data, specifically environmental geodata. Applying such powerful digital tools to landscape design and planning has the potential to create more sustainable and resilient landscapes while including a broader number of stakeholders in decision making; however, it is increasingly difficult for researchers and practitioners to keep up with the state of the art.
The goal of this Special Issue is to collect papers (original research articles and review papers) to give insights about the application or potential for using state-of-the-art AI, AR/VR and big data approaches in the design and planning of landscapes.
With this Special Issue, we aim to publish cutting-edge research on current aspects of digital landscape architecture and planning, e.g., in the collection and analysis of remote sensing data, in landscape planning and visualization. Additionally, we would like to explore the diverse dimensions of landscapes and how digital approaches can address human senses beyond visual representations.
This Special Issue will welcome manuscripts that link the following themes:
- Potentials and limitations of AI-generated landscape visualizations;
- Landscape modelling approaches in comparison to AI-based landscape analysis;
- Case studies of applying “novel” geodata sources in digital landscape architecture and planning;
- Case studies in sustainable and resilient digital landscape architecture and planning;
- Case studies in digitally facilitated public participation in landscape architecture and planning.
We look forward to receiving your original research articles and reviews.
Prof. Dr. Olaf Schroth
Dr. Mark Lindquist
Prof. Dr. Eckart Lange
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. Land 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 2600 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
- Artificial Intelligence
- computational design
- landscape architecture
- landscape design
- landscape planning
- landscape visualization
- machine learning
- multisensory representation
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