SoilHealthDataCube
Soil Health Data Cube for Europe.
https://github.com/ai4soilhealth/soilhealthdatacube
Category: Natural Resources
Sub Category: Soil and Land
Last synced: about 9 hours ago
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Repository metadata
Soil Health Data Cube for Europe
- Host: GitHub
- URL: https://github.com/ai4soilhealth/soilhealthdatacube
- Owner: AI4SoilHealth
- License: mit
- Created: 2023-06-26T07:39:14.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2025-04-02T16:35:24.000Z (3 months ago)
- Last Synced: 2025-06-17T03:41:52.674Z (14 days ago)
- Language: Jupyter Notebook
- Size: 72.4 MB
- Stars: 10
- Watchers: 2
- Forks: 2
- Open Issues: 0
- Releases: 5
-
Metadata Files:
- Readme: README.md
- License: LICENSE
README.md
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
- Notebooks with indices
-
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
- Notebooks with indices
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.
Owner metadata
- Name: AI4SoilHealth Horizon Europe project
- Login: AI4SoilHealth
- Email: [email protected]
- Kind: organization
- Description: Horizon Europe Grant Agreement No. 101086179. 2022–2026
- Website: https://ai4soilhealth.eu
- Location: Netherlands
- Twitter: AI4SoilHealth
- Company:
- Icon url: https://avatars.githubusercontent.com/u/137761643?v=4
- Repositories: 1
- Last ynced at: 2023-07-06T12:28:36.353Z
- Profile URL: https://github.com/AI4SoilHealth
GitHub Events
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- Release event: 2
- Watch event: 5
- Push event: 19
- Fork event: 1
- Create event: 2
Last Year
- Release event: 2
- Watch event: 5
- Push event: 19
- Fork event: 1
- Create event: 2
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Last synced: 1 day ago
Total Commits: 67
Total Committers: 4
Avg Commits per committer: 16.75
Development Distribution Score (DDS): 0.119
Commits in past year: 32
Committers in past year: 2
Avg Commits per committer in past year: 16.0
Development Distribution Score (DDS) in past year: 0.094
Name | Commits | |
---|---|---|
Meng2077 | 9****7 | 59 |
Tomislav Hengl | t****l@g****m | 5 |
yu-feng-ho | 1****o | 2 |
Davide Consoli | d****i@o****g | 1 |
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Average comments per issue: 0
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Merged pull request: 0
Bot issues: 0
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