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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
 
 
sepal_environment.yml
sepal_environment.yml
 
 

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eSBAE_notebooks

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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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