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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Data for Periodic protected agriculture mapping at continental scales with Sentinel-2 imagery within the Google Earth Engine platform. (deposited 19 Feb 2024 08:06)
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Data for Periodic protected agriculture mapping at continental scales with Sentinel-2 imagery within the Google Earth Engine platform. (deposited 20 Feb 2024 10:48)
- Data for Periodic protected agriculture mapping at continental scales with Sentinel-2 imagery within the Google Earth Engine platform. (deposited 27 Feb 2025 10:22) [Currently Displayed]
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Data for Periodic protected agriculture mapping at continental scales with Sentinel-2 imagery within the Google Earth Engine platform. (deposited 20 Feb 2024 10:48)
Collection description
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; In the assets, leave "cicci_Reflective" for OPAC with reflective soils, otherwise, replace it with "cicci" to run the original version of OPAC. 2) The 116 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 - Shadow, 5 - Snow, 7 - Vegetated, 8 - Water, 9 - Highly reflective soils from Turkey, 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. 4) The .csv file contains the additional training dataset extracted from misclassified "protected agricultural" pixels from Turkey for a new version of OPAC to map highly reflective soils
| DOI: |  10.25430/researchdata.cab.unipd.it.00001202 |
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| 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: | 27 Feb 2025 10:22 | ||||||
| Last Modified: | 27 Feb 2025 10:22 | ||||||
| Creators/Authors: |
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| Type of data: | Mixed | ||||||
| Research funder: | European Commission | ||||||
| Research project title: | REWATERING - REalistic WATER budgetING in protected agriculture | ||||||
| Grant number: | 101062255 | ||||||
| Collection period: |
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| 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/1501 |
orcid.org/0000-0003-1898-7088
