This resource provides a Python-based tool that leverages SwissEO products — specifically Sentinel-2 Surface Reflectance ("swisseo_s2_sr") and Vegetation Health Index ("swisseo_vhi") — to enable rapid post-storm forest damage assessment.
It demonstrates how to search and access publicly available satellite data through the STAC interface of swissEO S2 SR , swissEO VHI and perform image processing using open-source Python libraries.

The accompanying Jupyter Notebooks explain how to compute the Normalized Difference Vegetation Index (NDVI) or VHI from Sentinel-2 spectral bands and use it for identifying potential windthrow areas.
Furthermore, a VHI difference analysis between two acquisition dates is showcased to efficiently detect and map damage areas.

This resource is intended for stakeholders who require a fast and independent overview of storm impacts on forests and is built entirely on open standards and free software (Python).

Available Resources:

• Sentinel-2 Surface Reflectance 2017–today: SwissEO S2-SR real-time analysis-ready data for Switzerland

• Sentinel-2 Vegetation Stress 2017–today: SwissEO VHI real-time analysis-ready data for Switzerland

• Introduction to SwissEO STAC Data Access and Processing:
  stac-introduction.ipynb

• Image Processing and Forest Damage Analysis:
  stac-image-processing.ipynb

• SwissEO STAC Catalog:
  data.geo.admin.ch STAC API