Algorithm Details

Supported Sensors
RGB, BGNIR, RGNIR
Supported Resolution
5 cm/pixel or less
Other Requirements

- Detection of living canopy of vegetation
- Designed for agricultural fields

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





Description

The purpose of the Canopy Cover algorithm is to establish an estimation of vegetative cover within a 1 meter radius for each pixel of the image. It will not tell you the health of the vegetation discovered in that pixel but a value distinguishing how much coverage  of vegetation is detected in that area.


The Canopy Cover algorithm uses Vegetative Index readings to establish a percentage of vegetation cover per pixel. In your final output pixel values will range from 0% to 100% vegetation cover detected within a 1 meter radius. From the canopy cover, it is possible to quantify the percentage of foliage cover per area.


The algorithm was originally designed for application in Agricultural fields to quantify canopy cover of crops at various stages of growth. 




Running the Algorithm

1. Choose an orthomosaic (RGB, BGNIR, RGNIR). Apply the Canopy Cover 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 Canopy Cover algorithm. 


3. In the Boundary 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.



4In the next step, select the output format.



5. In the final step, hit "Apply".The process will take 2 hours or less and in the end will output a Georeferenced Image, KML, and PDF Map of your field with Canopy Cover details included.





Outputs

The Canopy Cover algorithm has three output formats for the results- Georeferenced Image, KML, and PDF Map. Each of the three outputs will show the same information in different formats. 


  • Georeferenced Image- This output is a georeferenced tiff image that can be viewed in a photo viewer or GIS software. This is the same depiction of the data that is present within the PrecisionMapper web viewer. 



  • KML- The KML version of the output will look the same as the Georeferenced image output but in a different format. KML files are meant to be opened in Google Earth instead of alternative GIS and Remote Sensing softwares. 


  • PDF Map- The PDF map output of the Canopy Cover algorithm will give you a nice looking single page map of the results with legend included.