US 12,223,713 B2
Geospatial vegetation correlation system and method
Edward R. Adams, Minneapolis, MN (US)
Assigned to Edward R. Adams, Minneapolis, MN (US)
Filed by Edward R. Adams, Minneapolis, MN (US)
Filed on Sep. 17, 2021, as Appl. No. 17/478,474.
Claims priority of provisional application 63/079,711, filed on Sep. 17, 2020.
Prior Publication US 2022/0148305 A1, May 12, 2022
Int. Cl. G06V 20/10 (2022.01); G06N 3/08 (2023.01); G06Q 30/018 (2023.01); G06Q 50/02 (2012.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/13 (2022.01)
CPC G06V 20/188 (2022.01) [G06N 3/08 (2013.01); G06Q 30/018 (2013.01); G06Q 50/02 (2013.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/13 (2022.01)] 16 Claims
OG exemplary drawing
 
1. A computer implemented method comprising:
obtaining geospatial coordinates for multiple points defining boundaries of a subject property;
obtaining an image of the subject property from one or more positions above the earth;
identifying, by a neural network trained on labeled images wherein each labeled image comprises a block having a selected size and a label identifying vegetation observed within the block, forms and amounts of vegetation within the boundaries of the subject property based on the image;
determining carbon offset values for the forms of vegetation identified within the boundaries of the subject property; and
combining the carbon offset values based on the amounts of vegetation to derive a total offset for the subject property.