TauferLab/SOMOSPIE
View on GitHubSOMOSPIE (Soil Moisture Spatial Inference Engine) consists of a Jupyter Notebook and a suite of machine learning methods to process inputs of available coarse-grained soil moisture data at its native spatial resolution. Features include the selection of a geographic region of interest, prediction of missing values across the entire region of interest (i.e., gap-filling), analysis of generated fine-grained predictions, and visualization of both predictions and analyses.
- Stars
- 16
- Forks
- 8
- Open beginner issues
- 0
- Indexed issues
- 11
- Dominant language
- Jupyter Notebook
- License
- BSD-3-Clause
- Last GitHub push
- Aug 26, 2026
- Latest indexed
- Sep 20, 2026
- Contributing guide
- No contributing guide
- Code of conduct
- No code of conduct
- Beginner labels
- No beginner labels indexed
- PR merge metrics
- No merged PRs in 30d
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Difficulty 4/5 3-5 days Newbie friendliness 20/100
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Difficulty 2/5 1-3 hours Newbie friendliness 35/100
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Difficulty 3/5 1-2 days Newbie friendliness 35/100
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Difficulty 3/5 1-2 days Newbie friendliness 20/100
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Difficulty 2/5 1-3 hours Newbie friendliness 30/100
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Difficulty 2/5 1-3 hours Newbie friendliness 35/100
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Difficulty 4/5 3-5 days Newbie friendliness 20/100
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Difficulty 4/5 3-5 days Newbie friendliness 25/100
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Difficulty 3/5 1-2 days Newbie friendliness 25/100