1. A Comparative Analysis of Urban Tree Canopy Assessment Methods in Minnesota
Remote Sensing of Natural Resources and Environment | FR | University of Minnesota
Philip J Potyondy

2. Digitize urban forest canopy cover using image classification remote sensing techniques and software over study areas.

6. Digitize urban forest canopy cover using image classification remote sensing techniques and software over study areas.
24.71%

7. Digitize urban forest canopy cover via technician photo interpretation over study area.

13. Digitize urban forest canopy cover via technician photo interpretation over study area.
18.03%

14. Digitize urban forest canopy cover via technician photo interpretation within stratified random sampled blocks.

17. Definition of variables:
Village X (vX); Area of Village X = A vX
  Zone Q (zQ); Area of zQ = A zQ       Study Block 1 (sb1); Area of sb1 = A sb1       Study Block 2 (sb2); Area of sb2 = A sb2       Study Block 3 (sb3); Area of sb3 = A sb3   Zone R (zR); Area of zR = A zR       Study Block 4 (sb4); Area of sb4 = A sb4       Study Block 5 (sb5); Area of sb5 = A sb5   Zone S (zS); Area of zS = A zS       Study Block 6 (sb6); Area of sb6 = A sb6       Study Block 7 (sb7); Area of sb7 = A sb7
Equations:
Geographic Weight of Study Block 1 = (A sb1 /A zQ)
Percent Canopy of Study Block 1 = C sb1
Estimated Percent Canopy of Zone Q = C zQ = [(A sb1 / A zQ) * C sb1]  +  [(A sb2 / A zQ) * C sb2]  +  [(A sb3 / A zQ) * C sb3]
Estimated Percent Canopy of Zone R = C zR = [(A sb4 / A zR) * C sb4]  +  [(A sb5 / A zR) * C sb5]
Estimated Percent Canopy of Zone S = C zS = [(A sb6 / A zS) * C sb6]  +  [(A sb7 / A zS) * C sb7]
Estimated Percent Canopy of Village X = C vX = [(A zQ / A vX) * C zQ]  +  [(A zR / A vX) * C zR]  +  [(A zS / A vX) * C zS]

19. Digitize urban forest canopy cover via technician photo interpretation within stratified random sampled blocks.
17.28%

20. Calculate urban forest canopy using field collected tree canopy width measurements within stratified random sampled blocks.

22. Calculate urban forest canopy using field collected tree canopy width measurements within stratified random sampled blocks.
16.32%

23. Calculate urban forest canopy using randomly generated points within study area interpreted by a technician - iTree Canopy

28. Calculate urban forest canopy using randomly generated points within study area interpreted by a technician - iTree Canopy
18.2%±3.88

30. Exiting data Tree Species