|Supported Sensors||RGB, BGNIR, RGNIR|
|Supported Resolution||5 cm/pixel or less|
- Detection of living canopy of vegetation
- Designed for agricultural fields
|Estimated Processing Time||2 hours or less|
|Outputs ||Georeferenced Image, KML, PDF Map|
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 foliar cover per area.
The algorithm was originally designed for application in Agricultural fields to quantify canopy cover of crops at various stages of growth.
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.