Mapping essential urban land use categories (EULUC) using geospatial big data: Progress, challenges, and opportunities-Reference-Cited by-同舟云学术

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

Published:2021-07-03 Issue:3 Volume:5 Page:410-441
ISSN:2096-4471
Container-title:Big Earth Data
language:en
Short-container-title:Big Earth Data

Author:

Chen Bin¹^ORCID,Xu Bing²³,Gong Peng⁴

Affiliation:

1. Division of Landscape Architecture, Faculty of Architecture, The University of Hong Kong, Hong Kong SAR, China

2. Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China

3. Tsinghua Shenzhen International Graduate School, Shenzhen, China

4. Department of Geography, and Department of Earth Sciences, The University of Hong Kong, Hong Kong SAR, China

Funder

Cyrus Tang Foundation

National Key Research and Development Program of China

Publisher

Informa UK Limited

Subject

Computers in Earth Sciences,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/20964471.2021.1939243

Reference211 articles.

1. Utilising Location Based Social Media in Travel Survey Methods

2. Principal component analysis

3. The Rotation Forest algorithm and object-based classification method for land use mapping through UAV images

4. Land Cover Classification from fused DSM and UAV Images Using Convolutional Neural Networks

5. Object-based land cover classification using airborne LiDAR

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