LandGPT: a multimodal large language model for parcel-level land use classification with multi-source data

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成果类型：

期刊论文

作者：

Zhu, Geyuan;Tang, Mi;Ma, Yueheng;Hu, Zhihui;Yu, Chenglong;...

通讯作者：

Yao, Y

作者机构：

[Tang, Mi; Yu, Chenglong; Yao, Y; Yao, Yao; Hu, Zhihui; Zhu, Geyuan; Guan, Qingfeng; Zhang, Xiang; Ma, Yueheng] China Univ Geosci, Sch Geog & Informat Engn, Wuhan, Hubei, Peoples R China.

[Yu, Chenglong; Yao, Y; Yao, Yao; Zhu, Geyuan; Zhang, Xiang] LocationMind Inc, LocationMind Inst, Chiyoda, Tokyo, Japan.

[Hu, Huanjun] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan, Peoples R China.

[Yao, Y; Yao, Yao; Guan, Qingfeng] China Univ Geosci, Natl Engn Res Ctr Geog Informat Syst, Wuhan, Hubei, Peoples R China.

[Yao, Y; Yao, Yao] Hitotsubashi Univ, Hitotsubashi Inst Adv Study, Kunitachi, Tokyo, Japan.

通讯机构：

[Yao, Y ] C

China Univ Geosci, Sch Geog & Informat Engn, Wuhan, Hubei, Peoples R China.

LocationMind Inc, LocationMind Inst, Chiyoda, Tokyo, Japan.

China Univ Geosci, Natl Engn Res Ctr Geog Informat Syst, Wuhan, Hubei, Peoples R China.

Hitotsubashi Univ, Hitotsubashi Inst Adv Study, Kunitachi, Tokyo, Japan.

语种：

英文

关键词：

Land-use classification;LandGPT;LLM tuning;prompt engineering;multi-source geospatial data

期刊：

International Journal of Geographical Information Science

ISSN：

1365-8816

年：

2025

DOI：

10.1080/13658816.2025.2506533

基金类别：

National Natural Science Foundation of China [42171466]; Key Laboratory of Earth Surface System and Human-Earth Relations, Ministry of Natural Resources of China [LBXT2023YB03]; Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources [KF-2023-08-04]; The 'CUG Scholar' Scientific Research Funds at China University of Geosciences (Wuhan) [2022034]

机构署名：

本校为其他机构

院系归属：

数学与计算机学院

摘要：

Actual land parcels vary significantly in size and complexity. Previous studies were limited by existing technical methods for fine-grained land use classification. The emergence of multimodal large language models offers new techniques for image classification, but their application in land use classification remains unexplored. This study presents LandGPT, a multimodal large language model trained on the CN-MSLU-100K dataset, covering fine-grained land use classification of irregular parcels. This study proposes a trans-level discrimination f...

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LandGPT: a multimodal large language model for parcel-level land use classification with multi-source data

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