GEOINT 2024 - Google | Sean Wohltman
from Project Geospatial Hosted by Project Geospatial
Google’s Earth Engine is a planetary scale managed service and data catalog for Earth observation, with 50 years of data and growing at a rate of 2 petabytes per month. It has been used for research and AI applications, such as cloud removal from imagery, synthetic satellite creation, super resolution of low-resolution imagery, and object detection with contextual understanding through Gemini integration. 🌍 Earth Engine: Planetary scale data catalog for Earth observation. ☁️ Cloud removal: Teaching models to identify and mask out clouds with high accuracy. 🛰️ Synthetic satellite: Creating synthetic images with multiple data sets for low-cost analysis. 🔍 Super resolution: Generating high-resolution data from low-resolution imagery for change detection and feature segmentation. 📸 Object detection with Gemini: Integrating Gemini to provide contextual understanding of detected objects and generate code for customized analysis. 🌐 Workflow integration: Exploring options to make it easier for end users to customize and integrate Google’s tools and models into their own workflows. For more content like this check out www.projectgeospatial.com #GEOINT2024 #Google #EarthEngine #GeospatialAnalysis #AI
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