From aaea151f37e29d9f524e3df45607ccd5a5afe71a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?J=C3=BAlia=20Cansado?=
<156091433+julcansado@users.noreply.github.com>
Date: Thu, 18 Dec 2025 22:44:47 -0300
Subject: [PATCH 1/5] Add files via upload
---
jupyter/stac_introduction_julia.ipynb | 23088 ++++++++++++++++++++++++
1 file changed, 23088 insertions(+)
create mode 100644 jupyter/stac_introduction_julia.ipynb
diff --git a/jupyter/stac_introduction_julia.ipynb b/jupyter/stac_introduction_julia.ipynb
new file mode 100644
index 0000000..bac20a4
--- /dev/null
+++ b/jupyter/stac_introduction_julia.ipynb
@@ -0,0 +1,23088 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "6aff0640",
+ "metadata": {},
+ "source": [
+ "Introduction to the SpatioTemporal Asset Catalog (STAC) in Julia \n",
+ "\n",
+ "
\n",
+ "
\n",
+ " Matheus Zaglia
, Rennan Marujo
, Gilberto R. Queiroz
, Felipe Menino Carlos
\n",
+ "
\n",
+ " Earth Observation and Geoinformatics Division, National Institute for Space Research (INPE)\n",
+ "
\n",
+ " Avenida dos Astronautas, 1758, Jardim da Granja, São José dos Campos, SP 12227-010, Brazil\n",
+ "
\n",
+ " Contact:
brazildatacube@inpe.br \n",
+ "
\n",
+ " Last Update: May 21, 2024\n",
+ "
Adapted for Julia by Julia A. Cansado. Sep 20, 2025
\n",
+ "\n",
+ "\n",
+ "Abstract. This Jupyter Notebook gives an overview on how to use the STAC service to discover and access the data products from the Brazil Data Cube .\n",
+ "
\n",
+ "\n",
+ "\n",
+ "
This Jupyter Notebook is a supplement to the following paper: \n",
+ "
\n",
+ " Zaglia, M.; Vinhas, L.; Queiroz, G. R.; Simões, R.
Catalogação de Metadados do Cubo de Dados do Brasil com o SpatioTemporal Asset Catalog . In: Proceedings XX GEOINFO, November 11-13, 2019, São José dos Campos, SP, Brazil. p 280-285.\n",
+ "
\n",
+ "
\n",
+ "Figure 1 - STAC model.\n",
+ " \n",
+ "\n",
+ "The description of the concepts below are adapted from the [STAC Specification](https://github.com/radiantearth/stac-spec):\n",
+ "\n",
+ "- **Item**: a `STAC Item` is the atomic unit of metadata in STAC, providing links to the actual `assets` (including thumbnails) that they represent. It is a `GeoJSON Feature` with additional fields for things like time, links to related entities and mainly to the assets. According to the specification, this is the atomic unit that describes the data to be discovered in a `STAC Catalog` or `Collection`.\n",
+ "\n",
+ "- **Asset**: a `spatiotemporal asset` is any file that represents information about the earth captured in a certain space and time.\n",
+ "\n",
+ "\n",
+ "- **Catalog**: provides a structure to link various `STAC Items` together or even to other `STAC Catalogs` or `Collections`.\n",
+ "\n",
+ "\n",
+ "- **Collection:** is a specialization of the `Catalog` that allows additional information about a spatio-temporal collection of data."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "05115e53",
+ "metadata": {
+ "vscode": {
+ "languageId": "plaintext"
+ }
+ },
+ "source": [
+ "# STAC Client API\n",
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ "\n",
+ " \n",
+ "\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ "\n",
+ " \n",
+ "\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ "\n",
+ " \n",
+ "\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ "\n",
+ " \n",
+ " \n"
+ ],
+ "text/html": [
+ "Introduction to the SpatioTemporal Asset Catalog (STAC) in Julia \n",
- "\n",
- "
\n",
- "
\n",
- " Matheus Zaglia
, Rennan Marujo
, Gilberto R. Queiroz
, Felipe Menino Carlos
\n",
- "
\n",
- " Earth Observation and Geoinformatics Division, National Institute for Space Research (INPE)\n",
- "
\n",
- " Avenida dos Astronautas, 1758, Jardim da Granja, São José dos Campos, SP 12227-010, Brazil\n",
- "
\n",
- " Contact:
brazildatacube@inpe.br \n",
- "
\n",
- " Last Update: May 21, 2024\n",
- "
Adapted for Julia by Julia A. Cansado. Sep 20, 2025
\n",
- "\n",
- "\n",
- "Abstract. This Jupyter Notebook gives an overview on how to use the STAC service to discover and access the data products from the Brazil Data Cube .\n",
- "
\n",
- "\n",
- "\n",
- "
This Jupyter Notebook is a supplement to the following paper: \n",
- "
\n",
- " Zaglia, M.; Vinhas, L.; Queiroz, G. R.; Simões, R.
Catalogação de Metadados do Cubo de Dados do Brasil com o SpatioTemporal Asset Catalog . In: Proceedings XX GEOINFO, November 11-13, 2019, São José dos Campos, SP, Brazil. p 280-285.\n",
- "
\n",
- "
\n",
- "Figure 1 - STAC model.\n",
- " \n",
- "\n",
- "The description of the concepts below are adapted from the [STAC Specification](https://github.com/radiantearth/stac-spec):\n",
- "\n",
- "- **Item**: a `STAC Item` is the atomic unit of metadata in STAC, providing links to the actual `assets` (including thumbnails) that they represent. It is a `GeoJSON Feature` with additional fields for things like time, links to related entities and mainly to the assets. According to the specification, this is the atomic unit that describes the data to be discovered in a `STAC Catalog` or `Collection`.\n",
- "\n",
- "- **Asset**: a `spatiotemporal asset` is any file that represents information about the earth captured in a certain space and time.\n",
- "\n",
- "\n",
- "- **Catalog**: provides a structure to link various `STAC Items` together or even to other `STAC Catalogs` or `Collections`.\n",
- "\n",
- "\n",
- "- **Collection:** is a specialization of the `Catalog` that allows additional information about a spatio-temporal collection of data."
- ]
- },
- {
- "cell_type": "markdown",
- "id": "05115e53",
- "metadata": {
- "vscode": {
- "languageId": "plaintext"
- }
- },
- "source": [
- "# STAC Client API\n",
- "\n",
- "\n",
- " \n",
- " \n",
- " \n",
- " \n",
- "\n",
- "\n",
- " \n",
- " \n",
- " \n",
- " \n",
- "\n",
- "\n",
- " \n",
- " \n",
- " \n",
- " \n",
- "\n",
- " \n",
- "\n",
- " \n",
- " \n",
- " \n",
- " \n",
- "\n",
- " \n",
- "\n",
- "\n",
- " \n",
- " \n",
- " \n",
- " \n",
- "\n",
- " \n",
- "\n",
- " \n",
- " \n",
- " \n",
- " \n",
- "\n",
- " \n",
- "\n",
- "\n",
- " \n",
- " \n",
- " \n",
- " \n",
- "\n",
- " \n",
- "\n",
- " \n",
- " \n",
- " \n",
- " \n",
- "\n",
- " \n",
- " \n"
- ],
- "text/html": [
- "Introduction to the SpatioTemporal Asset Catalog (STAC) in Julia \n",
+ "\n",
+ "
\n",
+ "
\n",
+ " Matheus Zaglia
, Rennan Marujo
, Gilberto R. Queiroz
, Felipe Menino Carlos
\n",
+ "
\n",
+ " Earth Observation and Geoinformatics Division, National Institute for Space Research (INPE)\n",
+ "
\n",
+ " Avenida dos Astronautas, 1758, Jardim da Granja, São José dos Campos, SP 12227-010, Brazil\n",
+ "
\n",
+ " Contact:
brazildatacube@inpe.br \n",
+ "
\n",
+ " Last Update: May 21, 2024\n",
+ "
Adapted for Julia by Julia A. Cansado. Sep 20, 2025
\n",
+ "\n",
+ "\n",
+ "Abstract. This Jupyter Notebook gives an overview on how to use the STAC service to discover and access the data products from the Brazil Data Cube .\n",
+ "
\n",
+ "\n",
+ "\n",
+ "
This Jupyter Notebook is a supplement to the following paper: \n",
+ "
\n",
+ " Zaglia, M.; Vinhas, L.; Queiroz, G. R.; Simões, R.
Catalogação de Metadados do Cubo de Dados do Brasil com o SpatioTemporal Asset Catalog . In: Proceedings XX GEOINFO, November 11-13, 2019, São José dos Campos, SP, Brazil. p 280-285.\n",
+ "
\n",
+ "
\n",
+ "Figure 1 - STAC model.\n",
+ " \n",
+ "\n",
+ "The description of the concepts below are adapted from the [STAC Specification](https://github.com/radiantearth/stac-spec):\n",
+ "\n",
+ "- **Item**: a `STAC Item` is the atomic unit of metadata in STAC, providing links to the actual `assets` (including thumbnails) that they represent. It is a `GeoJSON Feature` with additional fields for things like time, links to related entities and mainly to the assets. According to the specification, this is the atomic unit that describes the data to be discovered in a `STAC Catalog` or `Collection`.\n",
+ "\n",
+ "- **Asset**: a `spatiotemporal asset` is any file that represents information about the earth captured in a certain space and time.\n",
+ "\n",
+ "\n",
+ "- **Catalog**: provides a structure to link various `STAC Items` together or even to other `STAC Catalogs` or `Collections`.\n",
+ "\n",
+ "\n",
+ "- **Collection:** is a specialization of the `Catalog` that allows additional information about a spatio-temporal collection of data."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "05115e53",
+ "metadata": {
+ "vscode": {
+ "languageId": "plaintext"
+ }
+ },
+ "source": [
+ "# STAC Client API\n",
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ "\n",
+ " \n",
+ "\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ "\n",
+ " \n",
+ "\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ "\n",
+ " \n",
+ "\n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ "\n",
+ " \n",
+ " \n"
+ ],
+ "text/html": [
+ "Introduction to the SpatioTemporal Asset Catalog (STAC) in Julia \n",
- "\n",
- "
\n",
- "
\n",
- " Matheus Zaglia
, Rennan Marujo
, Gilberto R. Queiroz
, Felipe Menino Carlos
\n",
- "
\n",
- " Earth Observation and Geoinformatics Division, National Institute for Space Research (INPE)\n",
- "
\n",
- " Avenida dos Astronautas, 1758, Jardim da Granja, São José dos Campos, SP 12227-010, Brazil\n",
- "
\n",
- " Contact:
brazildatacube@inpe.br \n",
- "
\n",
- " Last Update: May 21, 2024\n",
- "
Adapted for Julia by Julia A. Cansado. Sep 20, 2025
\n",
- "\n",
- "\n",
- "Abstract. This Jupyter Notebook gives an overview on how to use the STAC service to discover and access the data products from the Brazil Data Cube .\n",
- "
\n",
- "\n",
- "\n",
- "
This Jupyter Notebook is a supplement to the following paper: \n",
- "
\n",
- " Zaglia, M.; Vinhas, L.; Queiroz, G. R.; Simões, R.
Catalogação de Metadados do Cubo de Dados do Brasil com o SpatioTemporal Asset Catalog . In: Proceedings XX GEOINFO, November 11-13, 2019, São José dos Campos, SP, Brazil. p 280-285.\n",
- "
\n",
- "
\n",
- "Figure 1 - STAC model.\n",
- " \n",
- "\n",
- "The description of the concepts below are adapted from the [STAC Specification](https://github.com/radiantearth/stac-spec):\n",
- "\n",
- "- **Item**: a `STAC Item` is the atomic unit of metadata in STAC, providing links to the actual `assets` (including thumbnails) that they represent. It is a `GeoJSON Feature` with additional fields for things like time, links to related entities and mainly to the assets. According to the specification, this is the atomic unit that describes the data to be discovered in a `STAC Catalog` or `Collection`.\n",
- "\n",
- "- **Asset**: a `spatiotemporal asset` is any file that represents information about the earth captured in a certain space and time.\n",
- "\n",
- "\n",
- "- **Catalog**: provides a structure to link various `STAC Items` together or even to other `STAC Catalogs` or `Collections`.\n",
- "\n",
- "\n",
- "- **Collection:** is a specialization of the `Catalog` that allows additional information about a spatio-temporal collection of data."
- ]
- },
- {
- "cell_type": "markdown",
- "id": "05115e53",
- "metadata": {
- "vscode": {
- "languageId": "plaintext"
- }
- },
- "source": [
- "# STAC Client API\n",
- "\n",
- "\n",
- " \n",
- " \n",
- " \n",
- " \n",
- "\n",
- "\n",
- " \n",
- " \n",
- " \n",
- " \n",
- "\n",
- "\n",
- " \n",
- " \n",
- " \n",
- " \n",
- "\n",
- " \n",
- "\n",
- " \n",
- " \n",
- " \n",
- " \n",
- "\n",
- " \n",
- "\n",
- "\n",
- " \n",
- " \n",
- " \n",
- " \n",
- "\n",
- " \n",
- "\n",
- " \n",
- " \n",
- " \n",
- " \n",
- "\n",
- " \n",
- "\n",
- "\n",
- " \n",
- " \n",
- " \n",
- " \n",
- "\n",
- " \n",
- "\n",
- " \n",
- " \n",
- " \n",
- " \n",
- "\n",
- " \n",
- " \n"
- ],
- "text/html": [
- " ![](\"https://raw.githubusercontent.com/jupyter/design/master/logos/Badges/nbviewer_badge.svg\"){kind=icon}
\n",
+ "![](\"https://raw.githubusercontent.com/brazil-data-cube/code-gallery/master/img/logo-bdc.png\"){kind=logo}
\n",
+ "\n",
+ "# Introduction to the SpatioTemporal Asset Catalog (STAC) in Julia\n",
+ "![](\"https://raw.githubusercontent.com/brazil-data-cube/code-gallery/master/img/stac/stac.png?raw=true\")
\n",
+ "\n",
+ "# Introduction\n",
+ "![](\"https://raw.githubusercontent.com/brazil-data-cube/code-gallery/master/img/stac/stac-concept.png\")
\n",
+ "![](\"https://raw.githubusercontent.com/brazil-data-cube/code-gallery/master/img/stac/stac-catalog.png?raw=true\")
\n",
+ "\n",
+ "# Retrieving the Metadata of a Collection\n",
+ "![](\"https://raw.githubusercontent.com/brazil-data-cube/code-gallery/master/img/stac/stac-item.png?raw=true\")
\n",
+ "\n",
+ "# Retrieving Items\n",
+ "![](\"https://raw.githubusercontent.com/brazil-data-cube/code-gallery/master/img/stac/stac-asset.png?raw=true\")
\n",
+ "\n",
+ "# Assets\n",
+ "