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1 How To Pitch Yourself (And Get A Yes) | 300 27:52
GEOINT 2024 - Google | Sean Wohltman
Manage episode 421484818 series 3234430
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
362 episod
Manage episode 421484818 series 3234430
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
362 episod
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1 Decoding Geo: The Civil Applications Committee | Special Coverage 17:14

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1 Decoding Geo: Geography 2050 Recap | Special Coverage 22:55

1 Decoding Geo: FedGeoDay 2024 Recap | Special Coverage 16:06

1 Decoding Geo: FOSS4G NA 2024 Recap | Special Coverage 29:02

1 Decoding Geo: GEOINT 2024 Recap | Special Coverage 14:46

1 Industry Limelight | Eagleview - A Conversation with CEO Piers Dormeyer 17:37

1 FOSS4G NA 2024 - Interactive Analysis & Visualization of Geospatial Data with Leafmap - Qiusheng Wu 27:23

1 FOSS4G NA 2024 - Applying Large Language Models to Geospatial Search and Analysis - Jason Gilman 24:47

1 FOSS4G NA 2024 - Tracking Detected Vessels at Sea from USVs - Jonathan Mason & Jian Wu 26:33

1 FOSS4G NA 2024 - Optimized Geospatial Indexing for Hybrid Search and GeoAI - Nicholas Knize 31:23

1 FOSS4G NA 2024 - Geospatial Radar Report 2024 - Lauren Frederic 22:51

1 FOSS4G NA 2024 - Keynote - Brian Monheiser 25:06

1 FOSS4G - Blazing Fast Geospatial SQL in DuckDB - Isaac Brodsky 26:43

1 FOSS4G NA 2024 - Speeding Up Raster/Vector Zonal Analysis with exactextract - Dan Baston 24:23
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