Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Acknowledgements to Smart Farm and Agri-environmental Big Data Space … #42

Merged
merged 1 commit into from
May 10, 2024
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
21 changes: 21 additions & 0 deletions AgriDataValue/README.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,21 @@
# AgriDataValue toolbox demonstrators

Within the [AgriDataValue](https://agridatavalue.eu) project, part of the federated capabilities come from the Sentinel Hub, eo-learn and eo-grow toolkit.

In this folder we show some examples how the toolbox can be used to perform tasks related to dealing with the data, indicators, using resources on Copernicus Data Space Ecosystem (CDSE) and climate change monitoring and modelling.

## Table of Contents

* data_search.ipynb: querying Earth Observation data
* eo-data.ipynb: retrieving EO data
* indicators.ipynb: access to EO derived data for various existing indicators (e.g. Soil Moisture)
* ndvi_example.ipynb: example how to retrieve NDVI data using Sentinel Hub Process API
* cdse_example.ipynb: how to set up toolkit to work with CDSE
* Air pollution example: retrieving, visualising and analysing NO2 air pollution with the data from the Sentinel-5P satellite
* Burned-up area example: an example of how Sentinel Hub can be used together with eo-learn and eo-grow to train and deploy a model for burned up area detection
* Cloud shadows projection example:


## Acknowledgements

Work presented here has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 101086461.
Loading