DOI: 10.5281/zenodo.7116922
title: EO-based area monitoring markers computed over the Cypriotic pilot region (2021)

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 01-08-2020 until 05-10-2021 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 geopackage file <em>"markers_summary.gpkg", which</em> was computed for the Cypriotic pilot region. Descriptions are given below. <strong>Markers summary dataset</strong> <em><strong>Description of the information contained in the corresponding "markers summary" dataset</strong></em> Attribute name Description POLY_ID Reference ID of the polygon PLOT_ID_CROP The reference ID of the FOI PLOT_NAME The reference name of the FOI APPLICANT_NUMBER The ID of the FOI applicant LABEL Crop identifier column, based on `CROP_CODE` column in the GSAA dataset. CROP_DESC Crop name in Greek (Original crop name) CROP_ENG The English name of the crop on the FOI LAND_USE <strong>Land use types:</strong> 1-ARABLE LAND; 2-PERMANENT CROPS; 3-GRASSLAND (PERMANENT PASTURE); 5-AFFORESTED LAND (NON-AGRICULTURAL); 6-GREENHOUSE); 71-NON-ELIGIBLE (ABANDONED AT LEAST 2 YEARS);72 - NON-ELIGIBLE (FOREST/LOW WILD UNWANTED VEGETATION); 73NON-ELIGIBLE (NON PLANTED/BARREN/ROCKY); 81 - BUILT-UP (BUILDING/WAREHOUSE - MAN CONSTRUCTED); 82 - BUILT-UP (PARK/HOUSE YARD) N_VALID_OBS Number of valid Sentinel-2 observations used for computing the markers HOMOGENEITY_PROBA The probability that the FOI is homogeneous MEAN_NDVI Mean NDVI value of all valid observations of the FOI N_MW_OBS_AUG20_OCT21 Number of detected mowing observations between August 2020 and October 2021 N_BS_OBS_AUG20_OCT21 Number of detected mowing observations between August 2020 and October 2021 BS_COUNT_MAR_START_MAR_END Number of bare-soil observations between March 1 2021 and April 1 2021 BS_COUNT_MAR_START_APR_MID Number of bare-soil observations between March 1 2021 and April 15 2021 BS_COUNT_MAR_APR Number of bare-soil observations between March 1 2021 and May 1 2021 SIMILARITY_SCORE The normalised ([0, 100]) representation of the χ<sup>2</sup> value of the NDVI time-series difference between the target FOI and the neighboring FOIs DISTANCE_SCORE The normalised ([0, 100]) representation of the Median Euclidean distance between the NDVI time-series of the target FOI and the neighboring FOIs having assumed crop type declared PREDICTED_LAND_GROUP The FOI label as predicted by the land group model using crop groupings based on land use. LAND_GROUP_PREDICTION_SCORE The pseudoprobability of the crop-group prediction as assigned by the land-group model using crop groupings based on land use. A score close to 1 indicates that the model is very confident in the prediction a score close to 0 indicates that the model is not confident in the prediction. PREDICTED_CROP The FOI label as predicted by the crop group model using crop groupings proposed by CAPO. CROP_PREDICTION_SCORE The pseudoprobability of the crop-group prediction as it is assigned by the crop-group model using crop groupings proposed by PA. A score close to 1 indicates that the model is very confident in the prediction a score close to 0 indicates that the model is not confident in the prediction. PREDICTED_CROP_V39 The FOI label as predicted by the crop group model using crop groupings to 39 groups. CROP_PREDICTION_SCORE_V39 The pseudoprobability of the crop-group prediction as assigned by the crop-group model using crop groupings to 39 groups. PREDICTED_CROP_V41 The FOI label as predicted by the crop group model using crop groupings to 41 groups CROP_PREDICTION_SCORE_V41 The pseudoprobability of the crop-group prediction as assigned by the crop-group model using crop groupings to 41 groups. <br>