Galaxy workflow demonstrating the usage of EODIE Galaxy Tool Version 1
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Run on GalaxyThis workflow demonstrates the usage of EODIE, a toolkit to extract object based timeseries information from Earth Observation data.
EODIE is a toolkit to extract object based timeseries information from Earth Observation data.
The EODIE code can be found on Gitlab .
The goal of EODIE is to ease the extraction of time series information at object level. Today, vast amounts of Earth Observation data are available to the users via for example earth explorer or scihub. Often, not the whole images are needed for exploitation, but only the timeseries of a certain feature on object level. Objects may be polygons depicting agricultural field parcels, forest plots, or areas of a certain land cover type.
EODIE takes the objects in as polygons in a shapefile as well as the timeframe of interest and the features (eg vegetation indices) to be extracted. The output is a per polygon timeseries of the selected features over the timeframe of interest.
Online documentation EODIE documentation can be found here.
Abstract CWL Automatically generated from the Galaxy workflow file: Workflow constructed from history 'EODIE Sentinel'
Click and drag the diagram to pan, double click or use the controls to zoom.
Inputs
| ID | Name | Description | Type |
|---|---|---|---|
| S2B_MSIL2A_20200626T095029_N0214_R079_T34VFN_20200626T123234_tar | n/a | Sentinel2 input data. This input dataset corresponds to the data itself while sentinel2_tiles_world would be the corresponding shapefile for the tile. |
|
| sentinel2_tiles_world | n/a | This input dataset corresponds to the Sentinel-2 tile shapefile, originally provided by https://fromgistors.blogspot.com/2016/10/how-to-identify-sentinel-2-granule.html, |
|
| test_parcels_32635 | n/a | This input dataset is a shapefile corresponding the the area of interest e.g. on which statistics such as NDVI will be computed. |
|
Steps
| ID | Name | Description |
|---|---|---|
| 3_EODIE | n/a | n/a |
Version History
Version 1 (earliest) Created 11th Mar 2022 at 12:32 by Anne Fouilloux
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Version-1c71fe30
Creators and Submitter
Views: 3423 Downloads: 253 Runs: 0
Created: 11th Mar 2022 at 12:32
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