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Description：One of the most important properties for a future-oriented platform on earth observation is the orientation towards simple operation, with a special focus on efficiency of evaluation and...
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docs.openeo.cloud PopUrls
| openEO Platform Documentation https://docs.openeo.cloud/ |
| openEO API (1.1.0) https://docs.openeo.cloud/api/ |
| Federation Aspects and Known Issues https://docs.openeo.cloud/federation/ |
| Processes https://docs.openeo.cloud/processes/ |
| Federation Contract https://docs.openeo.cloud/federation/backends/ |
| Global Flood Monitoring https://docs.openeo.cloud/usecases/gfm/ |
| Analysis-Ready Data (ARD) https://docs.openeo.cloud/usecases/ard/ |
| File Formats https://docs.openeo.cloud/file-formats/ |
| Registration https://docs.openeo.cloud/join/free_trial.html |
| Get started with the openEO Python Client https://docs.openeo.cloud/getting-started/python/ |
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| content="One of the most important properties for a future-oriented platform on earth observation is the orientation towards simple operation, with a special focus on efficiency of evaluation and availability. Complexity is kept hidden in the background to direct your focus on the data. This is done on one hand by the use of an aggregate API to access the infrastructure, but also by improved user-faced graphical processing. For access to the API, the user has the option to incorporate his own preferences, by choosing between several clients." name="description"/ |
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Datasets Get Started Get Started Free Trial Registration Data Cubes (opens new window) Client Libraries JavaScript Python R Development Environments JupyterLab (Python) Editor Cookbook (opens new window) Client-Side Processing (Python) Clients Clients JavaScript (opens new window) Python (opens new window) R (opens new window) Use Cases Use Cases Cookbook (opens new window) Analysis-Ready Data (ARD) Overview SAR (Sentinel-1) Multi-Spectral Imagery Crop Classification Forest Change Detection Land Cover Classification NO₂ monitoring Large scale processing Global flood monitoring Vessel Detection Fractional canopy Cover Processes Processes JavaScript & R Python (opens new window) File Formats Advanced Advanced Accounting Federation Aspects Federation Contract HTTP API Contact (opens new window) Datasets Get Started Get Started Free Trial Registration Data Cubes (opens new window) Client Libraries JavaScript Python R Development Environments JupyterLab (Python) Editor Cookbook (opens new window) Client-Side Processing (Python) Clients Clients JavaScript (opens new window) Python (opens new window) R (opens new window) Use Cases Use Cases Cookbook (opens new window) Analysis-Ready Data (ARD) Overview SAR (Sentinel-1) Multi-Spectral Imagery Crop Classification Forest Change Detection Land Cover Classification NO₂ monitoring Large scale processing Global flood monitoring Vessel Detection Fractional canopy Cover Processes Processes JavaScript & R Python (opens new window) File Formats Advanced Advanced Accounting Federation Aspects Federation Contract HTTP API Contact (opens new window) Home This is the user manual for the European EO cloud service provider openEO Platform . Get started now: Data Cubes (opens new window) Editor JavaScript JupyterLab Python R If you can’t find what you are looking for, please submit a request to our community forums or contact us directly. You can also go back to the project website at openeo.cloud to find the less technical...
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