A Comparative Analysis of Urban Tree Canopy Assessment Methods in Minnesota Remote Sensing of Natural Resources and Environment | FR 5262 | University.

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Presentation transcript:

A Comparative Analysis of Urban Tree Canopy Assessment Methods in Minnesota Remote Sensing of Natural Resources and Environment | FR 5262 | University of Minnesota Philip J Potyondy

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

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

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

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

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

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]

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

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

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

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

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

Exiting data Tree Species