Detection of vegetation anomalies using the package fordead
This tutorial will walk you through the use of the package fordead, a python package developed to perform pixelwise analysis of SENTINEL-2 time series and automatically identify anomalies in forest seasonality. This tutorial is focused on a small example area corresponding to a coniferous forest stand attacked by bark beetle.
If the package is not already installed, follow the instructions of the installation guide.
If it is already installed, simply launch the command prompt and activate the environment with the command
conda activate <environment name>
Downloading the tutorial dataset
Even though the analysis can be performed at the scale of a SENTINEL-2 tile, we will focus here on a small study area that presents coniferous forest stands infested with bark beetles. The related dataset can be downloaded from the fordead_data repository. It mainly contains unpacked SENTINEL-2 data from the launch of the first satellite in 2015 to summer 2019. Here we use level-2A FRE (Flat REflectance) data, which means it is atmospherically and topographically corrected, and contains a Scene Classification Map (for more information, please visit the related page ). The data provider is THEIA. Data from other providers (ESA-Copernicus, CNES-PEPS) can also be used with this package.
Memory space required
For this tutorial, you should have 900Mo of memory space, to download the package, the tutorial dataset, and save the computed results.