Results 51 to 60 of about 766 (173)
GeoAI for Topographic Data Accuracy Enhancement: the AI4TDB project [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesGeoAI combines artificial intelligence (AI) with geospatial data, science, and technologies. In this paper, a successful case in utilizing GeoAI to improve the data quality in the national topographic database (TDB) of Finland was introduced. The project
L. Zhu, J. Raninen, E. Hattula
doaj +1 more source
Towards an AI Cube for EO data inference in a distributed infrastructure
Big Earth DataGeospatial data cubes show great promise to facilitate integrated and efficient analysis of big Earth Observation (EO) data. Existing geospatial data cube processing focuses more on traditional geoprocessing algorithms. It is still unknown how to enhance
Peng Yue, Kaixuan Wang
doaj +1 more source
Geospasial Intelijen Menggunakan Teknologi Satelit untuk Identifikasi Potensi Sumber Daya Energi dan Meningkatkan Keamanan Nasional [PDF]
Geospatial intelligence all activities involved in planning, collecting, processing, analyzing, exploiting, and disseminating spatial information obtained to gain intelligence about the national security or operational environment, and providing visual ...
Adang Supriyadi, Asep +3 more
core +2 more sources
Transactions in GIS, Volume 29, Issue 7, November 2025.ABSTRACT Recent advances in large language models (LLMs) have fueled growing interest in automating geospatial analysis and GIS workflows, yet their actual capabilities remain uncertain. In this work, we call for rigorous evaluation of LLMs on well‐defined geoprocessing tasks before making claims about full GIS automation.
Qianheng Zhang +8 more
wiley +1 more source
Scientific Data, 2023 This article provides a combined geospatial artificial intelligence-machine learning, geoAI-ML, agent-based, data-driven, technology-rich, bottom-up approach and datasets for capturing the human dimension in climate-energy-economy models.
Diego Moya +5 more
doaj +1 more source
Applied SciencesThe development of Geospatial Artificial Intelligence (GeoAI), combining deep learning and remote sensing imagery, is of great interest for automated spatial inference and decision-making support.
Yueying Zhu +9 more
doaj +1 more source
, 2023 This chapter presents some of the fundamental assumptions and principles that could form the philosophical foundation of GeoAI and spatial data science.
Janowicz, Krzysztof
core
Geology Today, Volume 41, Issue 4, Page 166-175, July/August 2025.The evolving landscape of military geoscience demands the integration of advanced geospatial technologies to enhance situational awareness, decision‐making and operational efficiency in military operations. This article focuses on the critical role of geographical information systems, remote sensing, artificial intelligence and drones in modern warfare,
Ivan Henrico
wiley +1 more source
Advancing Urban Analytics: GeoAI Applications in Spatial Decision-Making and Sustainable Cities
Urban ScienceThe rapid growth of geospatial data and advances in artificial intelligence (AI) have driven GeoAI’s rise as a key paradigm in urban analytics. GeoAI methods support spatial planning, risk assessment, and policymaking in cities facing climate change ...
Sorin Avram
doaj +1 more source
Transactions in GIS, Volume 29, Issue 4, June 2025.ABSTRACT The surge in geospatial data intensifies geoprivacy protection challenges, spanning methodological issues, cultural and regulatory contexts, and public attitudes, necessitating effective frameworks to ensure privacy and ethical data use. This study's importance lies in addressing these complexities to promote resilient data practices globally.
Huan Li, Jianwei Huang, Mei‐Po Kwan
wiley +1 more source