Store and visualize images from a cloud infrastructure thanks to COG format and QGIS.
2021-09-30, 10:00–10:30, Salta

As the number of satelite program proposing large amounts of free raster data increases (Copernicus Sentinel, Landsat…), it becomes more and more interesting to store and access massive quantity of imagery data.

Given the cost and the reliability needed to store such volumes of data, there is a strong interest to use cloud infrastructure. COG format (Cloud Optimized GeoTIFF) allows an efficient and reliable access to this data directly from any server supporting the HTTP 1.1 standard.

As QGIS is the most spread OpenSource GIS, it is critical for this tool to support COG seamlessly.

This presentation will explain the principles of the COG format. We will then describe, step by step, how to set it up on the OpenStack cloud platform. Finally, I will demo the configuration and visualization of this raster data directly from QGIS.


As the number of satelite program proposing large amounts of free raster data increases (Copernicus Sentinel, Landsat…), it becomes more and more interesting to store and access massive quantity of imagery data.

Given the cost and the reliability needed to store such volumes of data, there is a strong interest to use cloud infrastructure. COG format (Cloud Optimized GeoTIFF) allows an efficient and reliable access to this data directly from any server supporting the HTTP 1.1 standard.

As QGIS is the most spread OpenSource GIS, it is critical for this tool to support COG seamlessly.

This presentation will explain the principles of the COG format. We will then describe, step by step, how to set it up on the OpenStack cloud platform. Finally, I will demo the configuration and visualization of this raster data directly from QGIS.


Authors and Affiliations

Julien Cabieces, Developer at Oslandia

Track

Software

Topic

Standards, interoperability, SDIs

Level

2 - Basic. General basic knowledge is required.

Language of the Presentation

English

I work for Oslandia as a C++/Python developer, mainly on client specific QGIS Python plugins and I contribute regularly to QGIS.