Algorithm Details

Supported Sensors
Visual (RGB), BGNIR, RGNIR, Micasense, Sequoia
Supported Resolution
20 cm/pixel or less
Other Requirements

- Standing water in the area of interest

Estimated Processing Time
2 hours or less
Georeferenced Image, Shapefile, PDF Map


The waterpooling algorithm is able to accurately identify and measure standing water in the field. It is not used to detect saturated areas but real standing water. 

It can be used to determine food damage immediately after a extreme rain even or to monitor water lines from permanent water features. 


There are three output formats created from the Waterpooling algorithm- Georeferenced Image, KML, and Shapefile. 

  • Georeferenced Image- This is a Tiff image that is georeferenced using coordinates from the original survey. The image includes all areas where standing water was detected in a raster format. 

  • KML- This output looks identical to the Georeferenced Image output but is represented in a different format. This KML Format can be easily opened in Google Earth. 

  • Shapefile- This output version is extremely helpful to quantify the area of the field effected. Within this output type you will have a visual representation of the Water Pools detected by the algorithm. Contained in the attribute table of this shapefile is a column representing area measurements in acres of the land covered by the standing water.