ST_LUCAS ======== The use of in situ references in Earth observation monitoring is a fundamental need. `LUCAS `__ (**Land Use and Coverage Area frame Survey**) is an activity that has performed repeated in situ surveys over Europe every three years since 2006. The dataset is unique in many aspects; however it is currently not available through a standardized interface, machine-to-machine. Moreover, the evolution of the surveys limits the performance of change analysis using the dataset. Our objective was to develop an open-source system to fill these gaps. The ST_LUCAS is designed as a multi-layer client-server system that may be integrated into end-to-end workflows. It provides data through an OGC (Open Geospatial Consortium) compliant interface. A user may integrate the data through a `Python API <./api/>`__ (Application Programming Interface) to ease the use in workflows with spatial, temporal, attribute, and thematic filters using the `Jupyter Notebook <./api/tutorials.html>`__ or access the data interactively by the `QGIS plugin <./qgis_plugin/>`__. .. image:: _static/st_lucas_architecture.png :width: 600px Related publications -------------------- * Landa, M.; Brodský, L.; Halounová, L.; Bouček, T.; Pešek, O. Open Geospatial System for LUCAS In Situ Data Harmonization and Distribution. ISPRS Int. J. Geo-Inf. 2022, 11, 361. https://doi.org/10.3390/ijgi11070361 Talks * `ODSE 2022 `__: Open Geospatial System for LUCAS In-situ Data Harmonization and Distribution (`PDF `__) * `FOSS4G 2023 `__: ST_LUCAS reference data for online automated land cover mapping (`PDF `__) * `EARSeL 2023 `__: ST_LUCAS: Easy Access System for Harmonized LUCAS Dataset (`PDF `__) Harmonized LUCAS attributes --------------------------- .. toctree:: tables/list_of_attributes Coding tables ^^^^^^^^^^^^^ .. toctree:: tables/coding/cprn_lc tables/coding/lc1 tables/coding/lc1_h tables/coding/lc1_h_l3_missing tables/coding/lc1_spec tables/coding/lc2 tables/coding/lc2_h tables/coding/lc2_h_l3_missing tables/coding/lc2_spec tables/coding/lu1 tables/coding/lu1_h tables/coding/lu1_type tables/coding/lu2 tables/coding/lu2_h tables/coding/lu2_type Region-growing representative areas ----------------------------------- Spatially representative areas have been computed around LUCAS points in 2018 using an original shape-constrained region-growing algorithm. This algorithm was specifically designed to enhance the accuracy and consistency of machine learning approaches for land cover and land use mapping by ensuring that the delineated areas accurately represent the surrounding landscape. The algorithm takes as input the OSM/CLCplus land cover product (`Zenodo `__), which provides a harmonized and detailed land cover dataset suitable for large-scale analysis. To facilitate transparency and reproducibility, the tool developed for this purpose has been made openly available through a `GitHub repository `__ under MIT license, enabling researchers and practitioners to implement and refine the approach for various applications in land cover and environmental monitoring. .. toctree:: tables/list_of_attributes_(rg_repre_areas) Coding tables ^^^^^^^^^^^^^ .. toctree:: tables/coding/rg_repre_areas/lc tables/coding/rg_repre_areas/osm_names Data extracts ------------- Dataset version: 2.0 * `PostGIS database dump <./extracts/db_st_lucas_dump.sql.7z>`__ * `Harmonized LUCAS points (OGC GeoPackage) <./extracts/lucas_points.gpkg.7z>`__ * `Harmonized space-time aggregated LUCAS points (OGC GeoPackage) <./extracts/lucas_st_points.gpkg.7z>`__ * `LUCAS region-growing representative areas (OGC GeoPackage) <./extracts/lucas_points_rg_repre_areas.gpkg.7z>`__ * `LUCAS observation circles and Copernicus areas (OGC GeoPackage) <./extracts/lucas_points_additional_areas.gpkg.7z>`__ Versioned data extracts are also available from `Zenodo `__. Harmonization mapping tables ---------------------------- .. toctree:: tables/mapping/crop_residues tables/mapping/gps_ew tables/mapping/gps_lat tables/mapping/gps_long tables/mapping/gps_proj tables/mapping/grazing tables/mapping/lc1_h tables/mapping/lc1_perc tables/mapping/lc1_spec tables/mapping/lc2_h tables/mapping/lc2_perc tables/mapping/lc2_spec tables/mapping/lc_lu_special_remark tables/mapping/lu1_h tables/mapping/lu1_perc tables/mapping/lu2_h tables/mapping/lu2_perc tables/mapping/obs_dist tables/mapping/obs_type tables/mapping/office_pi tables/mapping/parcel_area_ha tables/mapping/pi_extension tables/mapping/soil_stones_perc tables/mapping/soil_taken tables/mapping/survey_date tables/mapping/th_ew tables/mapping/wm_delivery tables/mapping/wm_source tables/mapping/wm_type System metadata --------------- * `System metadata <./st_lucas_metadata.json>`__ * `System logs <./logs/>`__ License ------- ST_LUCAS dataset ^^^^^^^^^^^^^^^^ ST_LUCAS dataset is provided under the same conditions (“free of charge”) as original LUCAS data (https://ec.europa.eu/eurostat/web/lucas/database/). ST_LUCAS software components ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ * System Deployment Package (`Gitlab repository `__) - MIT * Python Package (`Gitlab repository `__) - MIT * QGIS Plugin (`Gitlab repository `__) - GNU GPL Funding ------- This work is co-financed under Grant Agreement Connecting Europe Facility (CEF) Telecom project 2018-EU-IA-0095 by the European Union. .. image:: _static/CEF_programme_logo_650px.png