Open Soil Spectral Library (training data and calibration models)
收藏资源简介:
<strong>Open Soil Spectral Library</strong> contains training MIR (68,257) and VisNIR (67,464) spectral scans + soil calibration data (51,732 unique locations) and calibration models. Key data set: rm.ossl_v1.rds: a global regression-matrix used to fit all calibration models; Important note: The data set spatially over-represents USA and European Union, with little training data in Asia, South America and Australia, hence calibration models reflect primarily soils of USA and Europe. To use the models and data please install R and required packages. Read more about the RDS data format and how to convert it to CSV or similar. Modeling steps are explained in detail in: https://github.com/soilspectroscopy/ossl-models. To visualize database please use: https://explorer.soilspectroscopy.org/ Complete OSSL documentation can be found at: https://soilspectroscopy.github.io/ossl-manual/ <strong>Soil Spectroscopy for the Global Good</strong> is a Coordinated Innovation Network funded by USDA NIFA Food and Agriculture Cyberinformatics Tools Program (Award #2020-67021-32467). Input datasets are property of the USDA NRCS National Soil Survey Center – Kellogg Soil Survey Laboratory, ICRAF-World Agroforestry, ISRIC-World Soil Information, the Africa Soil Information Service funded by the Bill and Melinda Gates Foundation, the European Soil Data Centre, the National Ecological Observatory Network, and ETH Zurich. For more advanced uses of the soil spectral libraries <strong>we advise to contact the original data producers</strong> especially to get help with using, extending and improving the original SSL data.
开放土壤光谱库(Open Soil Spectral Library)包含用于模型训练的中红外光谱(MIR)扫描数据68257条、可见近红外光谱(VisNIR)扫描数据67464条,外加土壤校准数据(覆盖51732个独立采样点位)与校准模型。核心数据集为rm.ossl_v1.rds,这是用于拟合所有校准模型的全局回归矩阵。 重要说明:该数据集在空间分布上存在明显偏向,过度覆盖美国与欧盟区域,亚洲、南美洲及澳大利亚的训练数据占比极低,因此校准模型主要反映美国与欧洲的土壤特征。 若需使用本数据集与校准模型,请先安装R语言及所需依赖包。如需了解RDS数据格式的详细信息,以及如何将其转换为CSV或其他类似格式,可查阅相关文档。建模流程的详细说明可访问以下链接:https://github.com/soilspectroscopy/ossl-models。若需可视化本数据库,请访问:https://explorer.soilspectroscopy.org/。开放土壤光谱库的完整文档可访问:https://soilspectroscopy.github.io/ossl-manual/。 面向全球福祉的土壤光谱学(Soil Spectroscopy for the Global Good)是由美国农业部国家食品与农业研究所(USDA NIFA)农业信息学工具项目资助的协同创新网络,项目编号为2020-67021-32467。本项目的输入数据集权属方包括:美国农业部自然资源保护局(USDA NRCS)国家土壤调查中心——凯洛格土壤调查实验室、世界农林中心(ICRAF-World Agroforestry)、国际土壤信息中心(ISRIC-World Soil Information)、由比尔及梅琳达·盖茨基金会资助的非洲土壤信息服务项目、欧洲土壤数据中心、国家生态观测站网络,以及苏黎世联邦理工学院(ETH Zurich)。 若需对土壤光谱库(SSL)进行更高级的应用,我们建议联系原始数据提供方,尤其可寻求其在原始土壤光谱库数据的使用、扩展与优化方面的技术支持。



