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

In the context of the EU-funded project DIONE (No. 870378), the following EO-based monitoring marker maps were released over defined pilot areas over the Lithuanian pilot country, enhanced by features raised from the Super-resolution models. It involved the implementation of matching marking and data fusion deep learning algorithms, which attempt to support the extraction of useful information from highly variable inputs. This will further allow the distinction of landscape features, which would otherwise not be available in initially acquired Sentinel-2 data. The use of VHR data  (Copernicus Contributing Missions) in combination with drone imagery will enhance the super-resolution modelling capabilities, enabling the augmentation of the training dataset (spatio-temporal scale) and subsequently leading to increased model performance.
The goal was to enhance the outputs of the area monitoring markers and especially in the monitoring of small (i.e. 100m²), narrow and elongated parcels. 

For the needs of DIONE, the aforementioned data were explored and the following area-based monitoring markers were calculated from 01-01-2022 until 01-08-2022 providing tailored information for the needs of the National Paying Agency of Lithuania. 

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

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

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

This dataset is comprised of one geopackage file, the "S2SR-study-geopackage.gpkg", which was computed for the Lithuanian pilot region. Descriptions are given below.

Super-resolution Markers dataset: Markers were computed for 16872 FOIs that contain less than 1 Sentinel-2 pixel, using signals from 2022-01-01 until 2022-08-01.