Published September 27, 2022 | Version 2

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

  • 1. Sinergise. 29, Cvetkova, Ljubljana, Slovenia, 386-1-320-6150

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.

  1. Mowing marker: used to detect mowing events on meadow/grass like Features Of Interest (FOI)

  2. Mean-NDVI marker: used to detect erroneous claims with no vegetation

  3. Homogeneity marker: used to determine if a parcel geometry really consists of a single crop or if there are multiple things growing on the parcel

  4. 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)

  5. Similarity and distance markers: used to give additional context to the crop classification and to detect erroneous claims

  6. Land marker: used to detect the land type and non-productive EFAs of the FOI

  7. Crop-type marker: used to detect the specific crop growing on the FOI

This dataset is comprised of the geopackage file "markers_summary.gpkg", which was computed for the Cypriotic pilot region. Descriptions are given below.

Markers summary dataset

Description of the information contained in the corresponding "markers summary" dataset
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

Land use types: 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 χ2 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.


 

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Additional details

Funding

European Commission
DIONE - DIONE: an integrated EO-based toolbox for modernising CAP area-based compliance checks and assessing respective environmental impact 870378