ArcGIS Presentation for Earth Observation in the Cloud Demo Day
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Presenter: Kurt Schwoppe, Esri
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ArcGIS Presentation for Earth Observation in the Cloud Demo Day
- 1. ArcGIS For Earth Observation In the Cloud November, 2015 Kurt Schwoppe
- 2. See, Find, Share… See the World Find the Patterns Share with Others Enables the Geospatial DomainImagery
- 3. Professional Imagery & Geospatial Analysts Server ArcGIS Is a Platform Imagery is Fully Supported by that Platform Image Processing & Analytics Find Patterns Content Management See Sharing & Collaboration Share
- 4. Imagery Management in the Cloud – See Empowered by a comprehensive imagery information model See the World MSI/HSl LIDAR EO CIR FMV Multiple Sensors & Formats Web Cataloging - Search & Discovery
- 5. Introducing Reactive Imagery Building expertise into the data management process Basic Management. Expert Producing Content: Expert creates finished Products for consumers Basic file management and serving Consumers Sources Advanced Management Knowledge Based Processing Content On-Demand: Consumers dynamically pull the products they need from the server Sources Expert Consumers
- 8. Advanced Remote Sensing– Find the Patterns Highly elastic processing for both Desktop and Cloud Verification & Measure Landcover & Impervious Change Detection Rich Analytics Cloud Processing Imagery is more than pretty pictures
- 9. Surge Production Highly elastic orthophoto production operating in Amazon • 940 Scenes • 620 Square Miles • 1.2 TB Processed Compute Resources (40 AMIs) USDA APFO Historical Archive S3 Storage (MRF) ArcGIS Server Production Time: 14 Hours
- 10. Try it live
- 12. Leveraging the Platform Accessible Highly Visual Any Device, Anywhere Appeal to both the GIS Unaware and the Professional Simple
- 13. Step 1 – Build The App Organize Image Services and Select Widgets into a Working App
- 14. Step 2 – Run the App Works within ArcGIS Online or directly on the web Try it live
- 16. • MarketPlace • Esri Provided • Build-your-own Content Imagery Services • Change Detection • Land Cover Analysis • Feature Extraction Workflows & Models Analytics: The ArcGIS Imagery Platform and AWS Bringing it all together Web Apps • Templates • Widgets • Dynamic Content ArcGIS Operators See the Earth Find the Patterns Share with Others
Notas del editor
- Introductions
- Our approach towards imagery is fully supported by the ArcGIS Platform. First (click), ArcGIS has the capability to manage unlimited amounts of imagery content. A robust information model facilitates the storage of imagery so that it can be readily found and used for the creation of multiple products all without reformatting or otherwise increasing storage requirements. This imagery is shared across the platform as Esri Imagery Services or as various OGC services such as WMS or KML. Second (click), numerous analytical tools are available to correct, analyze, and extract both 2d and 3d information products from the imagery services. Many analytical tools can be set to operate on-the-fly to reduce duplication of data. As services (click), original source data and derived products can be displayed or manipulated by various maps and apps created by ArcGIS Online or via runtime applications. ***ArcGIS is a tasking, processing, exploitation & dissemination (TPED) platform The platform helps you with content management responsibilities so you can see Shared data models New data discoveries How metadata is handed When your database is time enabled The platform allows you to perform various functions for image processing and analytics and find Feature extractions Land cover classifications Elevation creations Partner technologies It lets you to collaborate with others by sharing Web services Maps and apps User mashups
- Enterprise Imagery Management is fundamental to working with imagery in ArcGIS. At the heart of this capability is an Imagery Information Model known as Mosaic Datasets.