openEO Platform
Analysis Ready Data (ARD) One of the key objectives of providing analysis ready data (ARD) is making earth observation data ready for (e.g., time-series) analysis and making it more accessible to non EO experts. A major problem with ARD is however also to find the level of pre-processing that enables a wide range of applications, without excluding others. The harmonisation and normalisation of data is also one of the prerequisites to enable time-series analysis and for creating data cubes and making them available as interoperable collections. One of the first goals of openEO Platform is to provide two main categories of ARD, multi-spectral imagery from the optical domain and synthetic aperture radar (SAR) backscatter. Further, three different processing pipelines are available for accessing and generating ARD. For fast and convenient access, pre-computed collections of ARD that follow the CARD4L are available. For both optical and SAR data, on-demand (asynchronous batch jobs) and on-the-fly (synchronous jobs) are implemented. On-demand is thought to be used for large area pre-processing for analysis with special requirements. On-the-fly processing is used for quick access and rapid prototyping on areas with less strict requirements or smaller extent. The ARD processing capabilities in openEO Platform will also allow for user defined parameterisation, while CARD4L provides the baseline specification. This feature will allow users to generate ARD to their specific requirements e.g., including topographic normalisation of surface reflectance. FAQs Clients Any questions, issues or feedback regarding one of the clients can be asked here. NRT Forest Change Detection Crop Classification
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How to join this Forum
This forum allows users of openEO platform to give feedback, exchange ideas, or report issues. Anyone on the web can read the major Forum categories and their entries. To gain writing access to the forum please follow tw… |
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3 | 201 | April 12, 2022 |
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Welcome to this Forum!
A very warm welcome to anyone in this forum! This forum allows users of openEO platform to give feedback, exchange ideas, or report issues. All communication on the forum is public and freely available to anyone on the… |
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1 | 94 | December 9, 2021 |
| UDF correlation |
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20 | 78 | May 20, 2022 |
| Processes unavailable |
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4 | 17 | May 19, 2022 |
| Living Planet Symposium 2022 |
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1 | 33 | May 18, 2022 |
| Examples of 'aggregate_temporal_period'? |
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16 | 71 | May 18, 2022 |
| Updating the python client in the JupyterLab |
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0 | 17 | May 17, 2022 |
| Issue with masking procedure |
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4 | 17 | May 18, 2022 |
| Import geojson vector |
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19 | 69 | May 17, 2022 |
| R Client v1.2.0 released |
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0 | 12 | May 12, 2022 |
| Non-interactive authentication |
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3 | 170 | May 11, 2022 |
| Setting a cloudfilter in load_collections |
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7 | 154 | May 10, 2022 |
| Error connecting to host with r-client dev ver |
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11 | 48 | May 9, 2022 |
| CORINE_LAND_COVER legend |
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7 | 44 | May 5, 2022 |
| Correlation operation |
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8 | 41 | May 3, 2022 |
| Keep Band Names in output |
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5 | 44 | May 1, 2022 |
| Datacube to DataArray |
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6 | 30 | May 1, 2022 |
| Getting Affine Transform of any DEM |
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3 | 29 | May 1, 2022 |
| Which is the right function to apply sd |
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3 | 29 | April 30, 2022 |
| Server not available |
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2 | 27 | April 29, 2022 |
| Adding calcution to band in image collections |
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4 | 31 | April 29, 2022 |
| Issue with spatial mean operation |
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2 | 33 | April 28, 2022 |
| How to label or relabel a datacube band? |
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2 | 23 | April 28, 2022 |
| Masked Sentinel 2 standard deviation |
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7 | 61 | April 27, 2022 |
| Datacube cannot be stored locally |
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1 | 30 | April 22, 2022 |
| Problem with CGLS_SSM_V1_GLOBAL collection |
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2 | 35 | April 22, 2022 |
| Google Earth Engine login |
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5 | 41 | April 19, 2022 |
| ARD processing with FORCE returns no results |
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17 | 125 | April 15, 2022 |
| Loading differences between collections |
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4 | 36 | April 14, 2022 |
| Merging datacubes |
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2 | 34 | April 14, 2022 |