GEOspatial Artificial Intelligence (GEOAI) is a research group at the Lebanese National Center for Remote Sensing - CNRS.
Our research is focused on AI-assisted mapping spanning various applications, including urban analytics, transportation, waterbodies monitoring and crop-yield estimation.
We develop tools to automate the process of urban features extraction and crowd-source data collection. Evidence gained from our models allows for a robust humanitarian response and provides policymakers/key-stakeholders with insights to design tailored regulations and safety countermeasures for urban social good.
GEOAI group provides a unique opportunity for geospatial training in a professional research environment in Lebanon.
We have hosted more than 60 students at both undergraduate and graduate levels since 2016.
GEOspatial Artificial Intelligence (GEOAI) group
GEOAI research is focused on AI-assisted mapping, including urban analytics, transportation, waterbodies monitoring and crop-yield estimation.
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- geojs-ugly Public
geoaigroup/geojs-ugly’s past year of commit activity - GEOAI-ECRS2023 Public
geoaigroup/GEOAI-ECRS2023’s past year of commit activity - awesome-vision-language-models-for-earth-observation Public
A curated list of awesome vision and language resources for earth observation.
geoaigroup/awesome-vision-language-models-for-earth-observation’s past year of commit activity - geotils-documentation Public
geoaigroup/geotils-documentation’s past year of commit activity - template-pytorch-gpu-data-science-project Public template Forked from kaust-generative-ai/pytorch-gpu-genai-project
Template repository for a Python 3-based (data) science project with GPU acceleration using the PyTorch ecosystem.
geoaigroup/template-pytorch-gpu-data-science-project’s past year of commit activity
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