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GEOINT 2024 - Google | Sean Wohltman

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Konten disediakan oleh Project Geospatial. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Project Geospatial atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

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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322 episode

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Manage episode 421484818 series 3234430
Konten disediakan oleh Project Geospatial. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Project Geospatial atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

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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