SoilHealthDataCube

Soil Health Data Cube for Europe technical documentation and computational notebooks. All the data is licensed under CC-BY, and the code is licensed under the MIT License.

For technical information please refer to the Soil Health Data Cube for Europe technical manual: https://shdc.ai4soilhealth.eu/

List of notebooks available in this repository:

• landsat_based_spectral_indices: Essential code & data used to generate/analyze/visualize/upload the landsat-based spectral indices data cube;

• soil_property_model_pipeline: contains scripts used to build predictive models for 10 key soil properties;

• WRB_map: contains scripts used to test, train, evaluate predictive models to map soil types based on the IUSS World Reference Base classification system.

• SOCD_map: contains number of notebooks listed below:

• Notebooks (001 -- 009)

  • Designed to test various steps in the predictive model building process
  • Explore and validate different methodologies and approaches for model construction

• Benchmark Pipeline Script

  • benchmark_pipeline.py automates the entire model-building pipeline
  • Streamlines the process based on the initial 10 notebooks

• Property-Specific Modeling (010 -- 011)

  • Notebooks with indices 010 -- 011 loop the pipeline through different soil properties
  • Identify and optimize the best model for each property

• Prediction Interval Models (012 -- 014)

  • Notebooks with indices 012 -- 014 build models that estimate prediction intervals
  • Add a layer of uncertainty quantification to the predictions

Acknowledgments

AI4SoilHealth.eu project has received funding from the European Union's Horizon Europe research an innovation programme under grant agreement No. 101086179.

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.