Frequently Asked Questions
How is the report different than a dilapidation report?
Our report looks back at ground measurements for up to three years and provides measurements at 11 or 12 intervals, filling the gap between pre and post dilapidation reports. With frequent revisits on the measurements, we can help identify exactly when the property was first impacted. The report complements the information found in the dilapidation report.
How can I purchase a report for my property?
How long does it take to get my report?
We typically send the report 7-10 working days from the time it was first ordered.
How is the report delivered?
The reports are sent by email in pdf format which can then be printed or kept on file for future reference.
How far back does the analysis go?
In general, the analysis goes back 30 to 36 months in time with new measurements made every 11 to 12 days.
Do you plan to provide updates going forward?
Otus plans to update its analysis 3 times a year going forward for Australia’s largest urban areas.
How do you generate ground measurements?
We generate measurements using an imagery processing technique called Interferometric Synthetic Aperture Radar (InSAR). The satellite sends active radio signal to the target which then bounces back to the satellite. With new imagery being acquired at 11 or 12 intervals, it means we can analyse if the time if took for the wave to bounce back, if there is a difference in time between observations, we can then measure how much movement has occurred.
Which satellites can be used to generate your data products?
We use data from an array of satellites and airborne platform to generate our data products. To generate ground measurements, we use Synthetic Aperture Radar satellite, to perform change detection with typically use high resolution optical imagery captured from airborne platforms.
Is the technology used for any other purposes?
The technology we use to generate measurements is being used in extractive industries such as mining and oil and gas. It is also used by government agencies or engineering firms to monitor infrastructure projects and for modelling purposes. Some more simple processing has also been proven to be a very powerful tool to monitor the extent of damage from earthquakes.