Identifying Inefficient Urban Residential Land within Shenzhen City: An Approach Using Gaussian Mixture Model and Multi-Source Big Data

Liu, Yixin; Liang, Shihao; Guo, Renzhong; Wang, Weixi; Ma, Ding; Zheng, Ye; Zhang, Libo; Liu, Qionghuan; Li, Xiaoming

doi:10.5194/isprs-archives-XLVIII-G-2025-993-2025

Articles | Volume XLVIII-G-2025

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Articles | Volume XLVIII-G-2025

https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-993-2025

Articles | Volume XLVIII-G-2025

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30 Jul 2025

| 30 Jul 2025

Identifying Inefficient Urban Residential Land within Shenzhen City: An Approach Using Gaussian Mixture Model and Multi-Source Big Data

Yixin Liu, Shihao Liang, Renzhong Guo, Weixi Wang, Ding Ma, Ye Zheng, Libo Zhang, Qionghuan Liu, and Xiaoming Li

Yixin Liu

Research Institute for Smart Cities & MNR Key Laboratory of Urban Land Resources Monitoring and Simulation, School of Architecture and Urban Planning , Shenzhen University, Shenzhen 518060, China

Shihao Liang

Research Institute for Smart Cities & MNR Key Laboratory of Urban Land Resources Monitoring and Simulation, School of Architecture and Urban Planning , Shenzhen University, Shenzhen 518060, China

Renzhong Guo

Research Institute for Smart Cities & MNR Key Laboratory of Urban Land Resources Monitoring and Simulation, School of Architecture and Urban Planning , Shenzhen University, Shenzhen 518060, China

Weixi Wang

Research Institute for Smart Cities & MNR Key Laboratory of Urban Land Resources Monitoring and Simulation, School of Architecture and Urban Planning , Shenzhen University, Shenzhen 518060, China

Ding Ma

Research Institute for Smart Cities & MNR Key Laboratory of Urban Land Resources Monitoring and Simulation, School of Architecture and Urban Planning , Shenzhen University, Shenzhen 518060, China

Ye Zheng

Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, 315211, China

Libo Zhang

National Quality Inspection and Testing Center for Surveying and Mapping Products, Beijing 100830, China

Qionghuan Liu

Research Institute for Smart Cities & MNR Key Laboratory of Urban Land Resources Monitoring and Simulation, School of Architecture and Urban Planning , Shenzhen University, Shenzhen 518060, China

Xiaoming Li

Research Institute for Smart Cities & MNR Key Laboratory of Urban Land Resources Monitoring and Simulation, School of Architecture and Urban Planning , Shenzhen University, Shenzhen 518060, China

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Identifying Inefficient Urban Residential Land within Shenzhen City: An Approach Using Gaussian Mixture Model and Multi-Source Big Data

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