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

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成果类型：

期刊论文

作者：

Huang, Tingting;Zhang, Ying;Li, Sha;Griffiths, Geoffrey;Lukac, Martin;...

通讯作者：

Zhu, JN

作者机构：

[Zhu, Jianning; Zhao, Haiyue; Liu, Wei; Huang, Tingting; Wang, Jiwei] Beijing Forestry Univ, Sch Landscape Architecture, Beijing, Peoples R China.

[Griffiths, Geoffrey; Lukac, Martin; Huang, Tingting] Univ Reading, Sch Agr Policy & Dev, Reading, England.

[Zhang, Ying] Changsha Univ Sci & Technol, Sch Architecture, Changsha, Peoples R China.

[Li, Sha] China Univ Min & Technol, Sch Architecture & Design, Xuzhou, Peoples R China.

[Yang, Xin] North China Univ Technol, Coll Architecture & Art, Beijing, Peoples R China.

通讯机构：

[Zhu, JN ]

Beijing Forestry Univ, Sch Landscape Architecture, Beijing, Peoples R China.

语种：

英文

关键词：

Machine learning;landscape character identification;landscape sensitivity evaluation;landscape management

期刊：

Landscape Research

ISSN：

0142-6397

年：

2023

卷：

期：

页码：

1019-1040

DOI：

10.1080/01426397.2023.2241390

机构署名：

本校为其他机构

院系归属：

建筑学院

摘要：

Due to China’s rapid human activity expansion, landscapes have lost their distinctive and typical characteristics. This paper addresses this issue by proposing a landscape character management framework for the Beijing shallow relief area. The framework utilises machine learning techniques to assess and enhance landscape integrity. The process involves landscape character identification through Principal Component Analysis, Gaussian Mixture Model clustering, and Canny Edge Detection. Additionally, a comprehensive landscape sensitivity evaluati...

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

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