Extraction of Vegetation regions from Sentinel-2 using Machine Learning, Python.
NCC | SGDClassifier |
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Install the following libraries;
sentinelsat, numpy, rasterio, scikit-learn
conda install -c conda-forge sentinelsat
conda install -c anaconda numpy
conda install -c conda-forge rasterio
conda install -c anaconda scikit-learn
for entire package list refer Requirements.txt
Created and Tested in Anaconda Python 3.8
This program uses the copernicus scihub service.
Register at https://scihub.copernicus.eu
The program prompts to input the login details at the time of execution, but you can feed the details in input_details.py beforehand, by default they will be assigned None.
The required details include:
- username, password for scihub
- latitude, longitude for which S2 tile to grab
cd S2_Vegetation
python3 s2_vegetation.py