Webinar: A Continuous Object-Based Change Detection System Monitoring Urbanization Across Canada
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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
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