EO-based area monitoring markers computed over the Lithuanian pilot region (2022)

Description

In the context of the EU-funded project DIONE (No. 870378), the following EO-based monitoring marker maps were released over the two pilot regions, containing the results produced from a set of image analysis and machine learning techniques. The latest explores the benefits of Copernicus's multispectral high-resolution Sentinel-2 data acquired from 01-01-2022 until 04-07-2021 and provides tailored information for the needs of European paying agencies (e.g. CAPO and NPA), expressed with the following markers. Mowing marker: used to detect mowing events on meadow/grass like Features Of Interest (FOI) Mean-NDVI marker: used to detect erroneous claims with no vegetation Homogeneity marker: used to determine if a parcel geometry consists of a single crop or if multiple things are growing on the parcel Bare soil marker: used to detect observation where bare soil is present on the feature of interest. This indicates agricultural activity on the FOI (plowing, harvest) Similarity and distance markers: used to give additional context to the crop classification and to detect erroneous claims Land marker: used to detect the land type and non-productive EFAs of the FOI Crop-type marker: used to detect the specific crop growing on the FOI This dataset is comprised of one geopackage file, the "markers_summary.gpkg", which was computed for the Lithuanian pilot region. Descriptions are given below. Markers summary dataset: There is a total of  **1074460** FOIs for the complete country GSAA dataset. Out of these, markers are computed on **996028** FOIs that contain more than 1 Sentinel-2 pixel. Description of the information contained in the corresponding "markers summary" dataset Attribute name  Description  POLY_ID  Reference ID of the polygon CROP_LABEL Declared crop group S2_all_observations_count Count of all observations  S2_valid_observations_count Count of all valid observations S2_pixel_count Number of S2 pixels within FOI declared_as Declared crop group (v1) classification_score The pseudoprobability of the crop-group (v1) prediction. A score close to 1 indicates that the model is very confident in the prediction classification  The FOI label as predicted by the crop group (v1) model crop_declared_as_2 Declared crop group (v2) crop_classification_score_2 The pseudoprobability of the crop-group (v2) prediction. A score close to 1 indicates that the model is very confident in the prediction crop_classification_2 The FOI label as predicted by the crop group (v2) model mowing_event_count Number of mowing events detected

Resources

Name Format Description Link
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7139268
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7139268

Tags

  • eo-based-area-monitoring-markers
  • common-agricultural-policy
  • sentinel-2

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