Advances in Landscape Perception Based on New Approaches & Technologies
A special issue of Land (ISSN 2073-445X).
Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 17489
Special Issue Editors
Interests: sustainable design; green building; building performance studies; urban green space
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The perception of landscape has been advanced by incorporating various technologies such as 3D scanning, physio-psychological measurements. The advancement is not limited to new technologies; new approaches such as point cloud data analysis and machine learning techniques all enhance the methodology of landscape perception studies.
This Special Issue will welcome manuscripts that link the following themes:
- Digital landscape technologies and perceptions；
- Psychological instruments and physiological studies for measuring landscape perception；
- The application of neurosciences in the landscape studies；
- Big data analysis of green space use and perception；
- Machine learning techniques to understand people’s perception, comfort and satisfaction in different landscape contexts.
We look forward to receiving your original research articles and reviews.
Prof. Dr. Zhonghua Gou
Dr. Chen Yang
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. 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
- digital landscape
- landscape perception
- 3D scanning
- green space
- landscape
- machine learning
- big data
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