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This repository holds a set of notebooks that allows to follow an optimised workflow for creating Sample Based Area Estimates resulting from an ensemble classification of various time-series and remote sensing products over a very dense set of points using some optimized stratification strategy based on the Kozak-Neyman stratification.

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Name		Name	Last commit message	Last commit date
Latest commit History 59 Commits
develop		develop
images		images
.gitignore		.gitignore
00-Introduction-to-Jupyter and Python.ipynb		00-Introduction-to-Jupyter and Python.ipynb
01_pre-analysis.ipynb		01_pre-analysis.ipynb
02_sample_design.ipynb		02_sample_design.ipynb
03_time_series_extract.ipynb		03_time_series_extract.ipynb
04_dataset_augmentation.ipynb		04_dataset_augmentation.ipynb
05a_unsupervised_subsampling.ipynb		05a_unsupervised_subsampling.ipynb
05b_threshold_subsampling.ipynb		05b_threshold_subsampling.ipynb
06-Classification.ipynb		06-Classification.ipynb
README.md		README.md
eSBAE_hacks.ipynb		eSBAE_hacks.ipynb
requirements.txt		requirements.txt