mlst2023's Introduction

Machine Learning Syntax Compilation
for Agricultural Land Cover Classification

This repo is compilation of syntax used for classifying land cover based on Sentinel 2. This compilation consist of

Data Preparation
Data Modeling
Data Production

Data Preparation

The data preparation are used for:

Cutting subgrid
Acquiring data from Sentinel 2
Quality Profilling
Over and Under Sampling

Data Modeling

The data modeling are used for:

Selecting best feature
Tuning parameter
Stacking and Modeling
Explaining Model

Data Production

Production include:

Classifying the map with selected model

Package used:

geopandas
rasterio
rasterstats
pandas
scikit-learn
catboost
lightgbm
optuna
hydra
mlflow
rioxarray

License

STATISTIC INDONESIA (BPS) -LICENSE

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