2025-04-09, 16:00–17:00, Expert Room 7
Soil Health Data Cube (SHDC) (https://shdc.ai4soilhealth.eu/) is a platform for pan-European soil indicators, including Landsat-based Spectral Indices Data Cube, 30-m resolution maps of SOCD and prediction uncertainty for Europe (2000–2022) in 3D+T, 30-m resolution maps of soil types (WRB), etc. The platform serves the data and empowers zonal statistics, trend and built-up machine learning for Digital Soil Mapping. In the workshop, the participant will walk into the platform, using Jupyter Notebook to connect the cloud data catalogue, working within the small area, and derives different statistics and trend etc.
The introduction will cover the soil health data cube, its vision and its novelty. After that the workshop will be hand-on. The first part of the workshop is to link and access data from the cloud. At the second part, we will load data in time series inside a given area to the local, downloading or saving in cache. The third part is to analyse the data, derive trend, zonal statistics and generate figures and insight.
The goal in the workshop is to connect end users of the Soil health indicators with the free open source pan-European dataset. The user can keep the data and script and apply in their aftermath work to improve soil health in Europe.
My background is agronomy and environmental management.
I am also an environmentalist and works on big-data management and processing. My role is geoinformatician in OpenGeoHub. I am specialized in Global Lidar (GEDI and IceSat-2), processing and data structure, digital terrain modeling and parameterization, data parallelisation and cloud data storage. I code mainly in Bash and Python but also R for capacity building and technical support.