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 NRT Forest Change Detection Clients Any questions, issues or feedback regarding one of the clients can be asked here. 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 | 241 | 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 | 124 | December 9, 2021 |
| Reduce_dimension using count |
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12 | 27 | June 30, 2022 |
| Issue with batch job |
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19 | 50 | June 29, 2022 |
| Printing or logging from UDF |
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1 | 16 | June 29, 2022 |
| Queue expectations |
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5 | 34 | June 29, 2022 |
| Import geojson vector |
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26 | 108 | June 29, 2022 |
| Merging datacubes |
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8 | 86 | June 28, 2022 |
| Applying Rada Shadow to Data Cube |
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2 | 20 | June 27, 2022 |
| Artifacts on tile borders |
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4 | 27 | June 27, 2022 |
| SENTINEL1_GRD missing pixels |
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4 | 27 | June 27, 2022 |
| Error loading Sentinel-3 SLSTR |
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8 | 58 | June 25, 2022 |
| DEM (COPERNICUS_30) missing data |
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5 | 41 | June 24, 2022 |
| Cloud mask provides smaller spatial extent |
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4 | 26 | June 24, 2022 |
| Radar Shadow |
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6 | 26 | June 24, 2022 |
| Error 401: Signed URL is not valid |
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2 | 20 | June 23, 2022 |
| Change data type of DataCubes |
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4 | 32 | June 23, 2022 |
| SENTINEL1_GRD missing scenes |
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2 | 16 | June 22, 2022 |
| Error using exp() process, Sentinel-1 collection |
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11 | 55 | June 22, 2022 |
| Fit_class_random_forest():"413 Request Too Large" |
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11 | 51 | June 22, 2022 |
| ESA_WORLDCOVER_10M missing collection |
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1 | 22 | June 20, 2022 |
| Missing images (temporal extent = month) |
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9 | 39 | June 20, 2022 |
| Conditional replacement e.g. where(condition, true, false) |
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4 | 32 | June 16, 2022 |
| Error using exp() process |
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11 | 28 | June 13, 2022 |
| Datacube does not know 'fit_class_random_forest' |
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5 | 25 | June 13, 2022 |
| Maintanence Thread - EODC |
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4 | 61 | June 8, 2022 |
| Living Planet Symlposium & Terrascope backend load |
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0 | 37 | June 3, 2022 |
| Eolab (JupyterLab) update |
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1 | 38 | May 31, 2022 |
| Sentinel data unavailable |
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2 | 31 | May 25, 2022 |
| UDF correlation |
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29 | 125 | May 24, 2022 |