Accurately mapping social functional zones of urban green spaces by integrating remote sensing images and crowd-sourced geospatial data-Reference-Cited by-同舟云学术

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Accurately mapping social functional zones of urban green spaces by integrating remote sensing images and crowd-sourced geospatial data

Published:2024-07-11 Issue:1 Volume:17 Page:1-26
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Zhi Junjun¹²^ORCID,Ge Liangwei¹,Geng Tao¹,Zhang Zhonghao³^ORCID,Li Lin¹,Zhu Hong¹,Zhou Zequn¹,Jiang Wei¹,Qu Le’an¹,Su Yue⁴,Liu Wangbing⁵

Affiliation:

1. School of Geography and Tourism, Anhui Normal University, Wuhu, People’s Republic of China

2. Engineering Technology Research Center of Resources Environment and GIS, Wuhu, People’s Republic of China

3. College of Geography and Remote Sensing, Hohai University, Nanjing, People’s Republic of China

4. College of Economics & Management, Anhui Agricultural University, Hefei, People’s Republic of China

5. Key Laboratory of Jianghuai Arable Land Resources Protection and Eco-Restoration, Hefei, People’s Republic of China

Funder

Natural Science Foundation of Anhui province

National Natural Science Foundation of China

Natural Resources Science and Technology Project of Anhui Province

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2024.2376255

Reference44 articles.

1. Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data

2. Functional Classification of Urban Parks Based on Urban Functional Zone and Crowd-Sourced Geographical Data

3. Identifying urban vegetation stress factors based on open access remote sensing imagery and field observations

4. Social functional mapping of urban green space using remote sensing and social sensing data

5. Mapping essential urban land use categories (EULUC) using geospatial big data: Progress, challenges, and opportunities

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