Live Webinar: April 14, 2020 | 2PM EDT

Canada’s Pollutant Inventories and Reporting Division (PIRD) faces the massive task of creating a greenhouse gas inventory for the entire nation.

A key part of this analysis is the use of remotely sensed data to quantify areas of land-use change to calculate CO2.

In this pursuit, PIRD has partnered with PCI Geomatics in a project that leverages Open Data Cube technology to enhance the efficiency, accuracy and granularity of analyzing enormous volumes of multi-temporal remote sensing data on a nationwide scale.

The following topics will be discussed:

• Importance of creating Analysis Ready Data products for multi-temporal analysis
• Creating a temporal stack from Landsat imagery spanning 30 years using data cube concepts
• ECCC PIRD requirements
• Adaptation of continuous change detection and classification (CCDC) algorithms from pixels to objects
• Graphical representation of results using web based visualization
• Key considerations to replicate and scale to all Canadian urban areas