As a preparatory step for the intended landcover classification, this workshop will cover some visible indices which integrate more than one band value in a single data layer which is useful for visual analytics or if one has to consider overfitting when using remote sensing information as explanatory data in statistical prediction models.
After completing this worksheet you should have gained some experience in transforming literature information into useful functions.
R Studio — we recommend to use R Studio for (interactive) programming with R. You can download R Studio from the official web page.
Remote sensing index database - a database with an overview of indices used in remote sensing applications.
Select three appropriate indices from the [IDB] database which potentially highlight selected features of our study area. Write an R function which takes the RGB stacks of our aerial images and returns a stack of indices.