EO-based area monitoring markers computed over the Lithuanian pilot region (2021)

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 01-01-2021 until 26-07-2021 and provides tailored information on the needs of European paying agencies (e.g. CAPO and NPA), expressed with the following markers. <strong>Mowing marker:</strong> used to detect mowing events on meadow/grass like Features Of Interest (FOI) <strong>Mean-NDVI marker:</strong> used to detect erroneous claims with no vegetation <strong>Homogeneity marker:</strong> used to determine if a parcel geometry really consists of a single crop or if there are multiple things growing on the parcel <strong>Bare soil marker:</strong> used to detect observation where bare soil is present on the feature of interest. This indicates agricultural activity on the FOI (plowing, harvest) <strong>Similarity and distance markers:</strong> used to give additional context to the crop classification and to detect erroneous claims <strong>Land marker:</strong> used to detect the land type and non-productive EFAs of the FOI <strong>Crop-type marker:</strong> used to detect the specific crop growing on the FOI This dataset is comprised of the two subsequent geopackage files, (i) the <em>"test_area_markers_summary.gpkg"</em> and (ii) <em>"crop_marker_summary_full_country.gpkg", which</em> were computed for the Lithuanian pilot region<em>. </em> Descriptions are given below. <strong>Test area markers dataset: </strong>There is a total of 59995 FOIs in the test areas. Out of these, markers are computed on **54809** FOIs that contain more than 1 Sentinel-2 pixel. <em><strong>Description of the information contained in the corresponding </strong></em><strong><em>"test area markers"</em> dataset</strong> Attribute Table name Description POLY_ID Reference ID of the polygon LABEL Declared crop group N_VALID_OBS Number of valid Sentinel-2 observations used for computing the markers HOMOGENEITY_PROBA The probability that the FOI is homogeneous N_MW_OBS_MAY_OCT Number of detected mowing observations between May and October N_BS_OBS_APR_OCT Number of detected mowing observations between April and October SIMILARITY_SCORE The normalised ([0, 100]) representation of the χ² value of the NDVI time-series difference between the target FOI and the neighbouring FOIs DISTANCE_SCORE The normalised ([0, 100]) representation of the Median Euclidean distance between the NDVI time-series of the target FOI and the neighbouring FOIs having assumed crop type declared MEAN_NDVI Μean NDVI value of all valid observations of the FOI PREDICTED_CROP Predicted crop group CROP_PREDICTION_SCORE The pseudo-probability of the crop group prediction <strong>Crop marker full country dataset: </strong> There is a total of **1127455** FOIs for the full country GSAA dataset. Out of these, markers are computed on **1042671** FOIs that contain more than 1 Sentinel-2 pixel. <em><strong>Description of the information contained in the corresponding </strong></em><strong><em>"crop marker full country"</em> dataset</strong> Attribute Table name Description POLY_ID Reference ID of the polygon LABEL Declared crop group PREDICTED_CROP Predicted crop group CROP_PREDICTION_SCORE The pseudo-probability of the crop group prediction