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murcia_2010_potassium.zipSiora Open Soil Nutrient Dataset – Murcia (2000, 2010, 2020)

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DataCite Commons2025-08-17 更新2025-09-08 收录
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https://figshare.com/articles/dataset/murcia_2010_potassium_zipSiora_Open_Soil_Nutrient_Dataset_Murcia_2000_2010_2020_/29925944/1
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<strong>Title:</strong><br> Murcia Soil Nutrient Datasets (2000, 2010, 2020) – Nitrogen, Phosphorus, Potassium, Organic Carbon, pH <br> <strong>Description:</strong><br> This record contains open satellite-derived soil nutrient maps for the Region of Murcia, Spain. The datasets provide estimates of <strong>Nitrogen, Phosphorus, Potassium, Organic Carbon, and pH</strong> at ~30 m spatial resolution for the years <strong>2000, 2010, and 2020</strong>. <br> The nutrient values were generated using calibrated multispectral sensing models that detect how soils reflect sunlight across spectral bands. This method parallels laboratory spectroscopy but is applied remotely from Earth-observation satellites. Each dataset is distributed as a single-band GeoTIFF with accompanying heatmaps and documentation. <br> <strong>Primary DOI (Zenodo citation):</strong><br> 10.5281/zenodo.16889684<br> (Please use this Zenodo DOI when citing the dataset.) <br> <strong>Key features:</strong> Region: Murcia, Spain Parameters: Nitrogen (N), Phosphorus (P), Potassium (K), Organic Carbon (OC), pH Temporal coverage: 2000, 2010, 2020 Spatial resolution: 30 m Format: GeoTIFF (.tif), PNG previews, metadata JSON, README, license Coordinate system: WGS 84 (EPSG:4326) License: Creative Commons Attribution 4.0 (CC-BY 4.0) <strong>Comparable laboratory references:</strong> Nitrogen – ISO 11261:1995 (Modified Kjeldahl) Phosphorus – ISO 11263:1994 (Spectrometric) Potassium – USDA–NRCS (Atomic absorption, NH₄OAc extraction) Organic Carbon – ISO 10694:1995 (Dry combustion) pH – ISO 10390:2005 (Glass electrode method) <strong>Suggested applications:</strong> Soil fertility and nutrient trend research Agricultural management and fertilization planning Environmental monitoring and sustainability analysis Machine learning model training and validation for remote sensing <strong>Attribution:</strong><br> Dataset created and released by Siora, provider of satellite-based soil analysis. If you use this dataset, please credit:<br> <em>“Siora (2025). Murcia Soil Nutrient Dataset (2000–2020). Zenodo DOI: 10.5281/zenodo.16889684.”</em>
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2025-08-17
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