
The Government of Canada automated processing system for change detection and ground deformation analysis from RADARSAT-2 and RADARSAT Constellation Mission Synthetic Aperture Radar data: description and user guide
Author(s) -
J. P. Dudley,
Sergey Samsonov
Publication year - 2020
Language(s) - English
Resource type - Reports
DOI - 10.4095/327790
Subject(s) - synthetic aperture radar , constellation , remote sensing , deformation monitoring , interferometric synthetic aperture radar , inverse synthetic aperture radar , radar imaging , data processing , radar , computer science , geology , geography , telecommunications , meteorology , deformation (meteorology) , database , physics , astronomy
Remote sensing using Synthetic Aperture Radar (SAR) offers powerful methods for monitoring ground deformation from both natural and anthropogenic sources. Advanced analysis techniques such as Differential Interferometric Synthetic Aperture Radar (DInSAR), changedetection, and Speckle Offset Tracking (SPO) provide sensitive measures of ground movement. With both the RADARSAT-2 and RADARSAT Constellation Mission (RCM) SAR satellites, Canada has access to a significant catalogue of SAR data. To make use of this data, the Canada Centre for Mapping and EarthObservation (CCMEO) has developed an automated system for generating standard and advanced deformation products from SAR data using both DInSAR and SPO methods. This document provides a user guide for this automated processing system.