Remote Sensing of Natural Resources and Environment | FR - PowerPoint Presentation

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Remote Sensing of Natural Resources and Environment | FR 5262 | University of Minnesota

Philip J Potyondy

A Comparative Analysis of Urban Tree Canopy Assessment Methods in MinnesotaSlide2

Digitize urban forest canopy cover using image classification remote sensing techniques and software over study areas.Slide3
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Digitize urban forest canopy cover using image classification remote sensing techniques and software over study areas.

24.71%Slide7

Digitize urban forest canopy cover via technician photo interpretation over study area.Slide8
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Digitize urban forest canopy cover via technician photo interpretation over study area.

18.03%Slide14

Digitize urban forest canopy cover via technician photo interpretation within stratified random sampled blocks.Slide15
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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

]Slide18
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Digitize urban forest canopy cover via technician photo interpretation within stratified random sampled blocks.

17.28%Slide20

Calculate urban forest canopy using field

collected tree canopy width measurements within stratified random sampled blocks.Slide21
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Calculate urban forest canopy using field

collected tree canopy width measurements within stratified random sampled blocks.16.32%Slide23

Calculate urban forest canopy using randomly

generated points within study area interpreted by a technician - iTree CanopySlide24
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Calculate urban forest canopy using randomly

generated points within study area interpreted by a technician - iTree Canopy

18.2%

±

3.88Slide29
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Exiting data

Tree SpeciesSlide31