murcia_2010_potassium.zipSiora Open Soil Nutrient Dataset – Murcia (2000, 2010, 2020)
收藏DataCite Commons2025-08-17 更新2025-09-08 收录
下载链接:
https://figshare.com/articles/dataset/murcia_2010_potassium_zipSiora_Open_Soil_Nutrient_Dataset_Murcia_2000_2010_2020_/29925944/1
下载链接
链接失效反馈官方服务:
资源简介:
<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>
提供机构:
figshare
创建时间:
2025-08-17



