From 0e58f118e18e1adf7c6b9b783a6f81202d8ecdb9 Mon Sep 17 00:00:00 2001 From: Krasen Samardzhiev Date: Wed, 24 Sep 2025 11:35:30 +0100 Subject: [PATCH] change tutorials --- PRR/CareHeat_v2.ipynb | 12 +++++++++--- PRR/Creating STAC Catalog_from_PRR_example.ipynb | 2 +- PRR/example_tccas.ipynb | 4 ++-- PRR/prr_zarr.ipynb | 2 +- 4 files changed, 13 insertions(+), 7 deletions(-) diff --git a/PRR/CareHeat_v2.ipynb b/PRR/CareHeat_v2.ipynb index 78ff1440..dd2aed4d 100644 --- a/PRR/CareHeat_v2.ipynb +++ b/PRR/CareHeat_v2.ipynb @@ -10,13 +10,19 @@ "This notebook shows how to generate a valid STAC collection, which is a requirement to upload research outcomes to the [ESA Project Results Repository (PRR)](https://eoresults.esa.int/). The code below demonstrates how to perform the necessary steps using real data from the ESA project **deteCtion and threAts of maRinE HEAT waves (CAREHeat)**. The focus of CAREHeat is to improve existing extreme marine heatwave(MHW) detection algorithms, contributing to a better understanding of their impacts.\n", "\n", "\n", - "Check the [EarthCODE documentation](https://earthcode.esa.int/), and [PRR STAC introduction example](https://esa-earthcode.github.io/examples/prr-stac-introduction) for a more general introduction to STAC and the ESA PRR.\n", + "Check the [EarthCODE documentation](https://earthcode.esa.int/), and [PRR STAC introduction example](https://esa-earthcode.github.io/tutorials/prr-stac-introduction) for a more general introduction to STAC and the ESA PRR.\n", "\n", "\n", "\n", - "🔗 Check the project website: [deteCtion and threAts of maRinE HEAT waves (CAREHeat) – Website](https://https://careheat.org/)
\n", + "🔗 Check the project website: [deteCtion and threAts of maRinE HEAT waves (CAREHeat) – Website](https://https://careheat.org/) \n", + "\n", + "\n", "🔗 Check the eo4society page: [deteCtion and threAts of maRinE HEAT waves (CAREHeat) – eo4society](https://eo4society.esa.int/projects/careheat/)\n", "\n", + "CareHeat Dataset source: [Check out the Dataset of Marine heatwaves and cold spells events based on ESA-CCI SSTs](https://zenodo.org/records/8154587)\n", + "\n", + "\n", + "\n", "#### Acknowledgment \n", "We gratefully acknowledge the **deteCtion and threAts of maRinE HEAT waves (CAREHeat)** for providing access to the data used in this example, as well as support in creating it." ] @@ -366,7 +372,7 @@ "source": [ "## 2. Create STAC Items and STAC Assets from original dataset \n", "\n", - "The second step is to describe the different files as STAC Items and Assets. Take your time to decide how your data should be categorised to improve usability of the data, and ensure intuitive navigation through different items in the collections. There are multiple strategies for doing this and this tutorial demonstrate one of the possible ways of doing that. Examples of how other ESA projects are doing this are available in the [EarthCODE documentation](https://esa-earthcode.github.io/examples/prr-stac-introduction) ." + "The second step is to describe the different files as STAC Items and Assets. Take your time to decide how your data should be categorised to improve usability of the data, and ensure intuitive navigation through different items in the collections. There are multiple strategies for doing this and this tutorial demonstrate one of the possible ways of doing that. Examples of how other ESA projects are doing this are available in the [EarthCODE documentation](https://esa-earthcode.github.io/tutorials/prr-stac-introduction) ." ] }, { diff --git a/PRR/Creating STAC Catalog_from_PRR_example.ipynb b/PRR/Creating STAC Catalog_from_PRR_example.ipynb index 9875a273..0e37cb7c 100644 --- a/PRR/Creating STAC Catalog_from_PRR_example.ipynb +++ b/PRR/Creating STAC Catalog_from_PRR_example.ipynb @@ -14,7 +14,7 @@ "\n", "It focuses on generating metadata for a project with a hundreads of items, each of which has hundreads of `netcdf` assets.\n", "\n", - "Check the [EarthCODE documentation](https://earthcode.esa.int/), and [PRR STAC introduction example](https://esa-earthcode.github.io/examples/prr-stac-introduction) for a more general introduction to STAC and the ESA PRR.\n", + "Check the [EarthCODE documentation](https://earthcode.esa.int/), and [PRR STAC introduction example](https://esa-earthcode.github.io/tutorials/prr-stac-introduction) for a more general introduction to STAC and the ESA PRR.\n", "\n", "\n", "\n", diff --git a/PRR/example_tccas.ipynb b/PRR/example_tccas.ipynb index 7d319b3d..a53eff6e 100644 --- a/PRR/example_tccas.ipynb +++ b/PRR/example_tccas.ipynb @@ -9,7 +9,7 @@ "\n", "This notebook shows how to generate a valid STAC collection, which is a requirement to upload research outcomes to the [ESA Project Results Repository (PRR)](https://eoresults.esa.int/). It focuses on generating metadata for a project with multiple data files of different types. \n", "\n", - "Check the [EarthCODE documentation](https://earthcode.esa.int/), and [PRR STAC introduction example](https://esa-earthcode.github.io/examples/prr-stac-introduction) for a more general introduction to STAC and the ESA PRR.\n", + "Check the [EarthCODE documentation](https://earthcode.esa.int/), and [PRR STAC introduction example](https://esa-earthcode.github.io/tutorials/prr-stac-introduction) for a more general introduction to STAC and the ESA PRR.\n", "\n", "\n", "The code below demonstrates how to perform the necessary steps using real data from the ESA project **Terrestrial Carbon Community Assimilation System (TCCAS)**. The focus of TCCAS is the combination of a diverse array of observational data streams with the D&B terrestrial biosphere model into a consistent picture of the terrestrial carbon, water, and energy cycles.\n", @@ -369,7 +369,7 @@ "source": [ "## 2. Create STAC Items and STAC Assets from original dataset \n", "\n", - "The second step is to describe the different files as STAC Items and Assets. Take your time to decide how your data should be categorised to improve usability of the data, and ensure intuitive navigation through different items in the collections. There are multiple strategies for doing this and this tutorial demonstrate one of the possible ways of doing that. Examples of how other ESA projects are doing this are available in the [EarthCODE documentation](https://esa-earthcode.github.io/examples/prr-stac-introduction)" + "The second step is to describe the different files as STAC Items and Assets. Take your time to decide how your data should be categorised to improve usability of the data, and ensure intuitive navigation through different items in the collections. There are multiple strategies for doing this and this tutorial demonstrate one of the possible ways of doing that. Examples of how other ESA projects are doing this are available in the [EarthCODE tutorials](https://esa-earthcode.github.io/tutorials/prr-stac-introduction)" ] }, { diff --git a/PRR/prr_zarr.ipynb b/PRR/prr_zarr.ipynb index a3c82931..b83bcae6 100644 --- a/PRR/prr_zarr.ipynb +++ b/PRR/prr_zarr.ipynb @@ -9,7 +9,7 @@ "\n", "This notebook shows how to generate a valid STAC collection, which is a requirement to upload research outcomes to the [ESA Project Results Repository (PRR)](https://eoresults.esa.int/). It focuses on generating metadata for a project with zarr data. The product has two zarr files, covering different regions, created using Sentinel 1 and Sentinel 2 data respectively.\n", "\n", - "Check the [EarthCODE documentation](https://earthcode.esa.int/), and [PRR STAC introduction example](https://esa-earthcode.github.io/examples/prr-stac-introduction) for a more general introduction to STAC and the ESA PRR.\n", + "Check the [EarthCODE documentation](https://earthcode.esa.int/), and [PRR STAC introduction example](https://esa-earthcode.github.io/tutorials/prr-stac-introduction) for a more general introduction to STAC and the ESA PRR.\n", "\n", "\n", "The code below demonstrates how to perform the necessary steps using real data from the ESA project **Yield Prediction and Estimation from Earth Observation (YIPEEO)**. The focus of YIPEEO is to improve field-scale crop yield forecasts through the usage of high-resolution remote sensing data and cutting edge scientific methods.\n",