Automated image recognition offers various possibilities to analyze snapshots according to certain characteristics and thus how developments and temporal processes. In forestry this may be used to measure canopy density in order to obtain reliable and verifiable scales about the actual condition and development of a forest as a preparation for harvesting or to ensure accurate damage survey after catastrophes such as fire, storms or pests. Supported by our application ‘Canopy Density’ it is possible to determine the canopy density of a forest area out of photos taken from below in just three steps.
Our application reliably calculates canopy density in both deciduous and coniferous trees and can also be used during wintertime.
The original image and the classification are saved next to each other so the results can be easily checked. The results are also listed in .txt / CSV.
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