Lecture Notes in Civil Engineering Geoinformatics for Spatial Infrastructure Development Earth and Allied Sciences

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Bol The contributions cover a diverse range of topics, including geoinformatics, geomatics, geospatial AI for natural hazards, Big Data and AI in sustainable natural resource management, GIS and remote sensing for natural disaster monitoring, GIS for spatial analysis, planning and management, GeoAI for building digital maps. This volume gathers the latest advances, innovations, and applications in the field of GIS and geo-spatial technologies, as presented by leading researchers and engineers at the International Conference on Geoinformatics for Spatial-Infrastructure Development in Earth & Allied Sciences (GIS-IDEA), held in Hanoi, Vietnam on November 7-9 2023. The contributions cover a diverse range of topics, including geoinformatics, geomatics, geospatial AI for natural hazards, Big Data and AI in sustainable natural resource management, GIS and remote sensing for natural disaster monitoring, GIS for spatial analysis, planning and management, GeoAI for building digital maps. Selected by means of a rigorous peer-review process, they will spur novel research directions and foster future multidisciplinary collaborations.

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The contributions cover a diverse range of topics, including geoinformatics, geomatics, geospatial AI for natural hazards, Big Data and AI in sustainable natural resource management, GIS and remote sensing for natural disaster monitoring, GIS for spatial analysis, planning and management, GeoAI for building digital maps. This volume gathers the latest advances, innovations, and applications in the field of GIS and geo-spatial technologies, as presented by leading researchers and engineers at the International Conference on Geoinformatics for Spatial-Infrastructure Development in Earth & Allied Sciences (GIS-IDEA), held in Hanoi, Vietnam on November 7-9 2023. The contributions cover a diverse range of topics, including geoinformatics, geomatics, geospatial AI for natural hazards, Big Data and AI in sustainable natural resource management, GIS and remote sensing for natural disaster monitoring, GIS for spatial analysis, planning and management, GeoAI for building digital maps. Selected by means of a rigorous peer-review process, they will spur novel research directions and foster future multidisciplinary collaborations.


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