Warren Cartwright
Product Manager
MDA
Canada

Biography
Warren Cartwright joined MDA in 2012. He is currently a Product Manager with MDA Geospatial Services Inc. Prior to his current position, Mr. Cartwright was the Director of Product Management for the Business Intelligence division of a large software company. He has also held a number of Product Marketing and Product Management roles in diverse industries including the Utility sector, IT and Computer Security and Advertising and Communications.

Abstract
Advanced InSAR Techniques for Urban Infrastructure Monitoring

MDA Geospatial Services Inc. (MDA) is one of the world's leading InSAR providers, and delivers operationally-focused InSAR solutions to customers across the globe. Urban infrastructure monitoring is a critical problem for rapidly growing cities, and this presentation presents surface displacement results for urban infrastructure monitoring applications derived from MDA's RADARSAT-2 based SAR interferometry. Our analysis uses a novel InSAR method, Homogenous Distributed Scatterer (HDS)-InSAR that exploits both persistent point and distributed scatterers by using adaptive multi-looking of statistically homogenous pixel neighbourhoods. The adaptive filtering reduces the noise of smooth, low-backscatter areas such as asphalt and bare ground, while optimally preserving the spatial resolution to increase both the accuracy and geographic precision of the deformation result. This presentation will focus on case studies based on RADARSAT-2 image stacks acquired over the Canadian cities of Winnipeg, Regina, and Montreal from July 2011 to March 2013. They capture representative examples of urban infrastructure including buildings, bridges, tarmac, and roads. Our HDS-InSAR solutions use high-resolution spotlight data to detect seasonal deformation and potentially hazardous long-term deformation trends of urban infrastructure at high accuracies and dense coverage. Of particular importance is the separation of temperature-correlated displacement (estimated using meteorological data from Environment Canada) that is anticipated in infrastructure design from long-term displacement trends which may pose a hazard to infrastructure.