Quantitative characterization and evaluation of highway greening landscape spatial quality based on deep learning-Reference-Cited by-同舟云学术

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Quantitative characterization and evaluation of highway greening landscape spatial quality based on deep learning

Published:2024-07 Issue: Volume:107 Page:107559
ISSN:0195-9255
Container-title:Environmental Impact Assessment Review
language:en
Short-container-title:Environmental Impact Assessment Review

Author:

Qin Xiaochun,Yang Dongxiao,Wangari Vicky Wangechi

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference63 articles.

1. The treatment of landscape in a Swedish EIA process;Antonson;Environ. Impact Assess. Rev.,2011

2. Relationship between perceived greenery and width of visual fields;Aoki;J. Jpn. Inst. Landsc. Archit.,1987

3. Classifying rural landscape types and developing rural landscape evaluation indicators using expert Delphi survey method;Ban;Korean J. Rural Plan.,2008

4. Street view imagery in urban analytics and GIS: a review;Biljecki;Landsc. Urban Plan.,2021

5. Landscape architect’s interpretations of people’s landscape preference;Buhyoff;J. Environ. Manag.,1978

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