Who uses the dzetsaka QGIS plugin ? A brief inventory

17 December 2019 Remote sensing research 0

I identified about 24 works, including 8 in peer-reviewed journals, that use the dzetsaka classification plugin. When I made this plugin, it was only to reproduce my work at the Guiana Amazonian Park. I didn’t expect it would be so much used and have so many downloads (about 55k today !).

I think must thank the Brazilian community because I found the majority of the people using dzetsaka is from there (Olá !). I don’t know why there are so much users in the Brazil then in the rest of the world, maybe because some researchers or teachers teach this plugin to their students. I notice that there also have been some great tutorials about dzetsaka published in youtube (Andre Q. Almeida UFS in 2017, Geoaplicada in 2018 and Anderson Medeiros of ClickGeo in 2019).

Algorithms used and dzetsaka evolution

The number of works per year is surprising. As we can see, 2019 is a great year with 15 works published online. The other years (2016,2017 and 2018) had about 3 to 4 works per year, so that’s quite a huge increase !

Number of published works per year (peer-reviewed, seminar, or report)

What algorithm is used in dzetsaka ? The wide majority performs the classification with the Gaussian Mixture Model implemented by the great Mathieu Fauvel. It is a efficient algorithm, with amazing speed capacities. However, Random-Forest often has better results, but takes longer to perform the fit and the predict process. GMM is provided by default in dzetsaka, you don’t need to install scikit-lit python library. I think that is the main reason for this gap.

Number of times an algorithm is used according to number of works.

Detailed of this work is available in Google docs.

Detailed list of the works (not limited), ordered by year