GitHub / TauferLab / SOMOSPIE
SOMOSPIE (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.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TauferLab%2FSOMOSPIE
PURL: pkg:github/TauferLab/SOMOSPIE
Stars: 14
Forks: 7
Open issues: 11
License: bsd-3-clause
Language: Jupyter Notebook
Size: 298 MB
Dependencies parsed at: Pending
Created at: over 5 years ago
Updated at: 3 months ago
Pushed at: 3 months ago
Last synced at: 3 months ago
Commit Stats
Commits: 100
Authors: 10
Mean commits per author: 10.0
Development Distribution Score: 0.73
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/TauferLab/SOMOSPIE
Topics: data-driven-decisions, machine-learning, remote-sensing, soil-moisture