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This review aims to analyze the role of large language models in transforming geomatics through multimodal data integration.

A review of large language models in geomatics: integrating multimodal data, addressing challenges, and exploring synergies

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Review explores large language models' impact on geospatial data integration, highlighting challenges and solutions in the field.

This review aims to analyze the role of large language models in transforming geomatics through multimodal data integration.
Review of existing literature on large language models and vision language models in geomatics.
Synthesis of applications in geospatial data analysis, environmental planning, and remote sensing.
Assessment of advancements in automation and decision support tools.
Large language models and vision language models significantly enhance geospatial data integration.
Developments in multimodal data fusion improve the capabilities of intelligent agents in geomatics.
Challenges such as computational demands and ethical concerns in the application of these technologies are identified.

Ameen et al. (2026) studied this question.

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