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Acknowledgements to Smart Farm and Agri-environmental Big Data Space …
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# AgriDataValue toolbox demonstrators | ||
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Within the [AgriDataValue](https://agridatavalue.eu) project, part of the federated capabilities come from the Sentinel Hub, eo-learn and eo-grow toolkit. | ||
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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. | ||
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## Table of Contents | ||
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* 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: | ||
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## Acknowledgements | ||
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Work presented here has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 101086461. |