Mapping urban land type with multi-source geospatial big data: a case study of Shenzhen, China-Reference-Cited by-同舟云学术

Mapping urban land type with multi-source geospatial big data: a case study of Shenzhen, China

Published:2023-10-31 Issue:1 Volume:19 Page:
ISSN:1744-5647
Container-title:Journal of Maps
language:en
Short-container-title:Journal of Maps

Author:

Zhao Xin¹²³,Xia Nan¹²³,Li ManChun¹²³,Xu Yunyun⁴

Affiliation:

1. Jiangsu Provincial Key Laboratory of Geographic Information Technology, School of Geography and Ocean Science, Nanjing University, Nanjing, People’s Republic of China

2. Department of Geographic Information Science, Nanjing University, Nanjing, People’s Republic of China

3. Collaborative Innovation Center for the South Sea Studies, Nanjing University, Nanjing, People’s Republic of China

4. Guangzhou Urban Planning & Design Survey Research Institute, Guangzhou, People’s Republic of China

Funder

National Natural Science Foundation of China

Research and Development Program of China

Ministry of Education of Humanities and Social Science Project

Publisher

Informa UK Limited

Subject

Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/17445647.2023.2273833

Reference34 articles.

1. Sustainable Brownfields Land Use Change Modeling Using GIS-based Weights-of-Evidence Approach

2. GLC2000: a new approach to global land cover mapping from Earth observation data

3. Incorporating ecosystem services to assess progress towards sustainable development goals: A case study of the Yangtze River Economic Belt, China

4. Time-series land cover mapping and urban expansion analysis using OpenStreetMap data and remote sensing big data: A case study of Guangdong-Hong Kong-Macao Greater Bay Area, China

5. Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery

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