Ameen et al., 2026 - Google Patents

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

Ameen et al., 2026

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Document ID
6857437066803649298
Author
Ameen H
Soilán M
Publication year
Publication venue
Spatial Information Research

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Snippet

The exponential growth of geospatial data from satellite imagery and LiDAR to crowdsourced and sensor-based streams poses challenges for traditional geomatics methods. This review examines the transformative role of large language models (LLMs) …
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    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
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    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
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    • G06Q10/00—Administration; Management
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