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readme.md

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+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.7155593.svg)](https://doi.org/10.5281/zenodo.7155593)
+
 This repository is a sandbox for experimenting with the R [caret][caret] package - using *Random Forests*, *Support Vector Machines* and *Neural Networks* for a classic [pixel based][px-b] [supervised classification][sup-cl]/[supervised learning][sup-ln] of [Sentinel-2 multispectral images][s2].
 
-View page at https://valentinitnelav.github.io/satellite-image-classification-r/
+This repository is rendered as a web page at https://valentinitnelav.github.io/satellite-image-classification-r/
+
+If this work was helpful in any way and you like to cite it, you can do so like:
+
+> Valentin Ștefan. (2019). Exercise with pixel based supervised classification of Sentinel-2 multispectral images in R. Comparing Random Forests, SVM and Neural Networks. Zenodo. https://doi.org/10.5281/zenodo.7155593
 
 [caret]: https://cran.r-project.org/web/packages/caret/index.html
 [px-b]: https://gis.stackexchange.com/questions/237461/distinction-between-pixel-based-and-object-based-classification