Harnessing machine learning for landscape character management in a shallow relief region of China-Reference-Cited by-同舟云学术

Harnessing machine learning for landscape character management in a shallow relief region of China

Published:2023-08-10 Issue:8 Volume:48 Page:1019-1040
ISSN:0142-6397
Container-title:Landscape Research
language:en
Short-container-title:Landscape Research

Author:

Huang Tingting¹²^ORCID,Zhang Ying³^ORCID,Li Sha⁴^ORCID,Griffiths Geoffrey²^ORCID,Lukac Martin²^ORCID,Zhao Haiyue¹^ORCID,Yang Xin⁵^ORCID,Wang Jiwei¹^ORCID,Liu Wei¹^ORCID,Zhu Jianning¹^ORCID

Affiliation:

1. School of Landscape Architecture, Beijing Forestry University, Beijing, China

2. School of Agriculture, Policy and Development, University of Reading, Reading, UK

3. School of Architecture, Changsha University of Science and Technology, Changsha, China

4. School of Architecture and Design, China University of Mining and Technology, Xuzhou, China

5. College of Architecture and Art, North China University of Technology, Beijing, China

Funder

the MOE (Ministry of Education in China) Project of Humanities, Social Sciences

the Fundamental Research Funds for the Central Universities

the Talent Project of China University of Mining and Technology

Publisher

Informa UK Limited

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,General Environmental Science,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/01426397.2023.2241390

Reference60 articles.

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2. Antrop M. & Van Eetvelde V. (2017). Identifying mapping and assessing landscapes. In Landscape perspectives: The holistic nature of landscape (pp. 265–309). Cham: Springer.

3. Definition of landscape character areas and types in Side region, Antalya-Turkey with regard to land use planning

4. Clusters of landscape characters as a way of communication in characterisation: A study from side, Turkey

5. Tracing landscape characters through place names in rural Mediterranean

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