Erin Trochim

Ready to explore where Artificial Intelligence (AI) meets the world of geospatial intelligence? This dynamic panel dives into the exciting, yet complex, landscape of navigating the AI space in our field.

Learn about exciting new datasets available in the Earth Engine, Publisher, and Community data catalogs, with highlights on several Google-developed datasets for sustainability.

As we continue developing geospatial access for the 21st century, maps alone will not provide sufficient context. We need to re-examine and address the usability and trustworthiness of data.

This session will discuss steps and important considerations for using Google Earth Engine with the intent of publishing research papers. Topics covered will include setting up cloud projects with associated permissions for collaborators, exploring existing data and ingesting your own, developing your analysis framework through test scripts, scaling up your analysis, bringing data out of Earth Engine, sharing scripts, modules, and datasets with your manuscripts, developing web applications to disseminate your results, and many more.

During this session, you'll hear 10 lightning talks featuring topics around using mapping tools for resilience and adaptation to the worst impacts of climate change. Kishore Kowtham, Anna University, “Flood Maps -A disaster mitigation and preparedness need” Adagbasa Efosa Gbenga, University of the Free State, “Geospatial analysis of wildfires and the potential impact on wilderness and parks using advanced remote sensing and machine learning.” Luiz Felipe Morais Martenexen, Amazon Environmental Research Institute (IPAM), “Mapbiomas Fire Monitor: Sentinel Based Monthly Mapping of Burned Area in

The AI model predicts that the probability you will learn something new about Dynamic World, a near realtime global land use land cover dataset, and hear interesting use cases is 99%. Join us to validate the model output by being present on the ground!