vignettes/biodivMapR.Rmd
biodivMapR.Rmd
This tutorial describes the processing workflow for
biodivMapR
. It goes through the different steps for the
production of spectral diversity maps using Sentinel-2 imagery. The
workflow is divided into three steps:
preprocS2
,
which is a wrapper of the rstac
and CDSE
packages.The default STAC collection is sentinel-2-l2a
from the Planetary computer catalog.
biodivMapR
requires a raster /
set of raster as input data. The first biodivMapR v1
used
spectral transformations as initial pre-processing step. This included
reflectance normalization with a continuum removal, followed by a
spctral transformation (PCA, SPCA, MNF…).biodivMapR v2
now allows user to run the preprocessing
step of their choice. This can consist in computing spectral indices,
vegetation biophysical variables, or spectral transformation. This also
means that any type of input data can be used, as long as the input
rasters share the same footprint, spatial resolution and projection.
We provide a few examples here. Users can experiment with the method of their choice
Definition of the processing parameters This includes the following information:
Computation of the diversity maps This includes several diversity metrics: