Authoring Layout

05_zarr_tools/51_eopf_stac_r.qmd

@@ -19,6 +19,8 @@ jupyterlab_link <- paste0(link_start, folder, separator, file, link_end)
 </button>
 </a>
 
+**By:** *[@sharlagelfand](https://github.com/sharlagelfand)*
+
 ### Introduction
 
 In this section, we will explore programmatic access of the EOPF Zarr Collections available in the [EOPF Sentinel Zarr Sample Service STAC Catalog](https://stac.browser.user.eopf.eodc.eu/) using R. We will introduce R packages that enable us to effectively access and search through STAC catalogs.

05_zarr_tools/52_eopf_stac_qgis.qmd

@@ -2,6 +2,8 @@
 title: "Access EOPF Zarr in QGIS Using STAC"
 ---
 
+**By:** *[@captaincoordinates](https://github.com/captaincoordinates)*
+
 ### Introduction
 
 The following page will demonstrate how to access the [EOPF STAC Catalog](https://stac.browser.user.eopf.eodc.eu/?.language=en) in QGIS. We will utilise QGIS's native **STAC** capabilities to add **Sentinel-2 L2A Zarr** items delivered from **EOPF STAC Catalog** to a **QGIS** project.

05_zarr_tools/53_eopf_zarr_r.qmd

@@ -24,6 +24,8 @@ jupyterlab_link <- paste0(link_start, folder, separator, file, link_end)
 </button>
 </a>
 
+**By:** *[@sharlagelfand](https://github.com/sharlagelfand)*
+
 ### Introduction
 
 In this tutorial, we will demonstrate how to access EOPF Zarr products directly from the [EOPF Sentinel Zarr Sample Service STAC Catalog](https://stac.browser.user.eopf.eodc.eu/) using R. We will introduce R packages that enable us to effectively get an overview of and read Zarr arrays.

05_zarr_tools/54_eopf_zarr_r_examples.qmd

@@ -23,6 +23,8 @@ jupyterlab_link <- paste0(link_start, folder, separator, file, link_end)
 </button>
 </a>
 
+**By:** *[@sharlagelfand](https://github.com/sharlagelfand)*
+
 ## Introduction
 
 This tutorial expands on the previous tutorials ([Access the EOPF Zarr STAC API with R](https://eopf-toolkit.github.io/eopf-101/05_zarr_tools/51_eopf_stac_r.html) and [Access and analyse EOPF STAC Zarr data with R](https://eopf-toolkit.github.io/eopf-101/05_zarr_tools/53_eopf_zarr_r.html)), going into further details on analysing and visualising Zarr data from the [EOPF Sample Service STAC catalog](https://stac.browser.user.eopf.eodc.eu/) programmatically using R. We recommend reviewing the previous tutorials if you have not done so already.

05_zarr_tools/57_rstac_gdalcubes.qmd

@@ -4,6 +4,7 @@ format: html
 self-contained: true
 ---
 
+**By:** *[@DaChro](https://github.com/DaChro)*
 
 ### Introduction