When it comes to data we are more or less lost nowadays. We can acquire more and more data for a current area and find answers on our questions. The Principal Component Analysis (PCA) can help you to enhance your understanding your data and to reveal underlying information that influences your data fundamentally. Since some days there is a special plugin for QGIS available that enables you to determine principal components from your data.
As I came across this short post about image classification in QGIS I was surprised to see this first line: “For this, Unsupervised KMeans image classification module from OTB has been used.” I haven’t heard about OTB and its usage in QGIS so I was curious.