Open Soil Spectral Library (training data and calibration models)

Open Soil Spectral Library 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/

Soil Spectroscopy for the Global Good 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 we advise to contact the original data producers especially to get help with using, extending and improving the original SSL data.