University of Padua

Data for Periodic protected agriculture mapping at continental scales with Sentinel-2 imagery within the Google Earth Engine platform

la Cecilia, Daniele (2024) Data for Periodic protected agriculture mapping at continental scales with Sentinel-2 imagery within the Google Earth Engine platform. [Data Collection]

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The collection contains: 1) The script as a .txt file to run the classifier OPAC and its whole workflow in the Google Earth Engine platform; 2) The 115 output raster files with a spatial resolution of 20 m for the year 2019 produced and analysed in this study in geotiff format. The self-explanatory file names are composed by the abbreviated name of the country, the string “GEE_OPAC_Corine-”, followed by a string generated by the GEE platform during export. The size of each raster depended on the size of the tiles automatically produced by the GEE platform during export. The value of each pixel corresponds to one of the following classes: 1 - Forest, 2 - Protected Agriculture (classes 2, 3 and 6 were grouped together), 4 and 5 - Shadow, 7 - Vegetated, 8 - Water, 9 - Snow, 10 - Baresoil. 3) The ESRI shapefile “Validation_all_shape.shp” and related files (in epsg: 4326) locating the 450 points used for validation. The attribute table consists of: “ID” - Numeric increasing value for ordering, “Label” - True label assigned from visual inspection of the true color image from Sentinel 2 and the very high resolution RGB satellite images available in the GEE platform, “Country” – Country where the pixel belong, “Long” – Longitude, “Lat” – Latitude, “OPAC” – class assigned by the classifier.

DOI: 10.25430/researchdata.cab.unipd.it.00001202
Keywords: OPAC; Google Earth Engine; Sentinel-2 L2A; Random Forest; CloudScore Plus
Subjects: Physical:Sciences and Engineering > Earth System Science: Physical geography, geology, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management > Earth observations from space/remote sensing
Department: Departments > Dipartimento di Ingegneria civile, edile e ambientale (ICEA)
Depositing User: Daniele La Cecilia
Date Deposited: 20 Feb 2024 10:48
Last Modified: 20 Feb 2024 10:48
Creators/Authors:
CreatorsEmailORCID
la Cecilia, Danieledaniele.lacecilia@unipd.itorcid.org/0000-0003-1898-7088
Type of data: Mixed
Collection period:
FromTo
1 May 201930 August 2019
Geographic coverage: Europe
Resource language: English
Metadata language: English
Publisher: Research Data Unipd
Date: 18 February 2024
Copyright holders: The Author
URI: https://researchdata.cab.unipd.it/id/eprint/1203

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