Jeff Carrillo from Structura View 
and Marvin Rosario from Airweb Digital , discussed a recent project where 121 thermal anomalies were detected on a monolithic 1.2 million sq. ft. roof system. What’s interesting? No visible damage, no heavy discoloration, and no obvious repairs—yet something was clearly happening.
By correlating wind direction, temperature reference bars, and multiple stitched datasets, Structura View pieced together a full thermal analysis to pinpoint potential moisture issues. This is why having the right process matters—thermal data alone isn’t enough. You need expert analysis to make the right call.
TRANSCRIPT
Jeff:
There’s a correlation with the wind direction that was going on. If you compare these thermal anomalies to, visual conditions, it’s not like we see debris, heavy discoloration, any repairs or anything in these areas. So there’s something going on, in this 1.2 million square foot roof that we found the 121 anomalies that are causing these anomalies.
This is a great example of, what you what you hope to see. Now, these thermal anomalies, like the temperature differential between wet locations and dry locations, suspected, were not very drastic in temperature change. We suspect that there are lighter moisture areas as opposed to being really saturated or heavy moisture.
Or potentially could be caused by unknown other reasons that, we’ll figure out. But it’s always important to have a temperature reference bar that shows you what color represents roughly what temperature that we’re seeing in the image set. This was certainly a colder day we had definitely cooler temperatures as a whole on this whole roof system.
But here’s the stitch that we produced after many attempts, and the problem was we had multiple data sets that, you know it, this, these programs need one full complete data set, and we had to work off of multiple data sets to represent where all the thermal anomalies were clearly. So we used the best stitch that we could come up with to try to help map these out. And we also worked with our individual overview images to actually study these conditions.
