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Satellite Imagery Analysis

Python Stars Forks issued License

Implementation of different techniques to find insights from the satellite data using Python.

This repository holds a bunch of notebooks which helps you to learn the topics related to remote-sensing especially satellite imagery analysis.

satellite_imagery_analysis's People

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syamkakarla98 avatar

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satellite_imagery_analysis's Issues

deep learning of lulc

y_data = loadmat('Sundarbands_gt.mat')['gt']

sir, please give me the process of preparing the gt data and give me the data download link.

I wonder why we use conv3d

Hi!! I have a question about conv3d
Normally the image uses conv2d, but here we have confirmed that conv3d is used. I'm curious why you use conv3d.

thanks.

Error in indices calculation

Hi Syamkakarla, I have a suggestion for you, in your notebook https://github.com/syamkakarla98/Satellite_Imagery_Analysis/blob/main/code/Sundarbans_Satellite_Imagery_Analysis_using_Python.ipynb

Before calculating indices you should convert the bands to float otherwise you will have many problems.
When calculating normalization, for instance, at the numerator you have band1-band2 but if you are using uint data type you are not allowed to use negative values and you will have a wrong computation (actually you have just a warning).
For instance, in the NDVI you get 1 for water areas, you should have values near to -1. If you do:
arr_st = arr_st.astype(float) you'll get a correct value.

Export Output

How to export the output in different format so can be used in qgis or just in image viewer.

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