|Supported Sensors ||RGB|
|Supported Resolution||10.0 cm/px or less|
- Building with roof in area of interest
- Oblique photos of North, South, East, West sides
- 3D options selected in processing
|Estimated Processing Time||Less then 4 hours|
Assess the damage to a roof caused by hail without the time, risk, and bias of traditional inspections.
Hail Damage Report makes it easy to create a report featuring aerial images and measurements of a roof. Just crop and annotate (hail damage, roof facets, eaves, rakes, ridges, and valleys) an existing PrecisionMapper 3D model, and the algorithm will produce a PDF Report to summarize information about your roof.
To read more about how PrecisionHawk is helping the Insurance industry, visit our blog.
Running the Algorithm
1. Choose a orthomosaic. Apply the Hail Damage report algorithm to this survey using the Applicable Algorithm menu below the viewer.
2. In the next step verify the orthomosaic that you will be applying the Hail Damage report algorithm.
3. In the Roof Facets stage, you must outline your area of interest that you wish to apply the algorithm to. Most users will be using the polygon function during this stage to highlight these surfaces. To complete a polygon you must loop all the way around to your first waypoint. You may also choose to upload a shapefile.
4. In the Hail Damage Points stage, drop a pin or marker to your survey to mark the area where hail damage is.
5. In the next step, select the output format.
6. In the final step, hit "Apply".The process will take 4 hours or less and in the end will output a PDF report with Hail Damage details included.
The only output to the Hail Damage algorithm is a PDF Report. This report is split into several sections to help summarize the roof flown.
- Page 1- Survey information including date, location, latitude/longitude, map projection, resolution, and weather
- Page 2- Images of the roof from North, South, East, and West compass directions
- Page 3- Information on each surface of your roof. This will include area in square feet as well as percent of damage detected based on your inputs.