Loading...
FID 89 (2)4/20/22, 8:19 AMi-Tree Canopy Page 1 of 2https://canopy.itreetools.org/report i-Tree Canopy Cover Assessment and Tree Benefits Report Estimated using random sampling statistics on 4/20/2022 Abbr.Cover Class Description Points % Cover ± SE Area (ft²) ± SE H Grass/Herbaceous 7 14.00 ± 5.29 2452.23 ± 926.86 IB Impervious Buildings 0 0.00 ± 0.00 0.00 ± 0.00 IO Impervious Other 0 0.00 ± 0.00 0.00 ± 0.00 IR Impervious Road 0 0.00 ± 0.00 0.00 ± 0.00 S Soil/Bare Ground 10 20.00 ± 5.66 3503.18 ± 990.85 T Tree/Shrub 33 66.00 ± 6.70 11560.50 ± 1173.44 W Water 0 0.00 ± 0.00 0.00 ± 0.00 Total 50 100.00 17515.91 Tree Benefit Estimates: Carbon (English units) Description Carbon (lb)±SE CO₂ Equiv. (lb)±SE Value (USD)±SE Sequestered annually in trees 601.42 ±61.05 2,205.19 ±223.84 $51 ±5 Stored in trees (Note: this benefit is not an annual rate)18,195.92 ±1,846.96 66,718.36 ±6,772.17 $1,552 ±157 Currency is in USD and rounded. Standard errors of removal and benefit amounts are based on standard errors of sampled and classified points. Amount Report a map error Imagery ©2022 , MassGIS, Commonwealth of Massachusetts EOEA, Maxar Technologies, U.S. Geological Survey H IB IO IR S T W0% 20% 40% 60% 0ft² 5kft² 10kft² Grass/Herbaceous Impervious Buildings Impervious Other Impervious Road Soil/Bare Ground Tree/Shrub Water Land Cover Cover Class% CoveredArea Covered (ft²) 4/20/22, 8:19 AMi-Tree Canopy Page 2 of 2https://canopy.itreetools.org/report sequestered is based on 0.052 lb of Carbon, or 0.191 lb of CO₂, per ft²/yr and rounded. Amount stored is based on 1.574 lb of Carbon, or 5.771 lb of CO₂, per ft² and rounded. Value (USD) is based on $0.09/lb of Carbon, or $0.02/lb of CO₂ and rounded. (English units: lb = pounds, ft² = square feet) Tree Benefit Estimates: Air Pollution (English units) Abbr.Description Amount (oz)±SE Value (USD)±SE CO Carbon Monoxide removed annually 1.52 ±0.15 $0 ±0 NO2 Nitrogen Dioxide removed annually 8.53 ±0.87 $0 ±0 O3 Ozone removed annually 173.92 ±17.65 $1 ±0 SO2 Sulfur Dioxide removed annually 5.31 ±0.54 $0 ±0 PM2.5 Particulate Matter less than 2.5 microns removed annually 7.53 ±0.76 $2 ±0 PM10*Particulate Matter greater than 2.5 microns and less than 10 microns removed annually 16.11 ±1.64 $1 ±0 Total 212.93 ±21.61 $4 ±0 Currency is in USD and rounded. Standard errors of removal and benefit amounts are based on standard errors of sampled and classified points. Air Pollution Estimates are based on these values in oz/ft²/yr @ $/oz/yr and rounded: CO 0.000 @ $0.01 | NO2 0.001 @ $0.00 | O3 0.015 @ $0.01 | SO2 0.000 @ $0.00 | PM2.5 0.001 @ $0.24 | PM10* 0.001 @ $0.05 (English units: oz = ounces, ft² = square feet) Tree Benefit Estimates: Hydrological (English units) Abbr.Benefit Amount (gal)±SE Value (USD)±SE AVRO Avoided Runoff 363.07 ±36.85 $3 ±0 E Evaporation 19,313.97 ±1,960.44 N/A N/A I Interception 19,341.29 ±1,963.22 N/A N/A T Transpiration 28,080.49 ±2,850.28 N/A N/A PE Potential Evaporation 158,188.64 ±16,056.75 N/A N/A PET Potential Evapotranspiration 111,532.13 ±11,320.94 N/A N/A Currency is in USD and rounded. Standard errors of removal and benefit amounts are based on standard errors of sampled and classified points. Hydrological Estimates are based on these values in gal/ft²/yr @ $/gal/yr and rounded: AVRO 0.031 @ $0.01 | E 1.671 @ N/A | I 1.673 @ N/A | T 2.429 @ N/A | PE 13.684 @ N/A | PET 9.648 @ N/A (English units: gal = gallons, ft² = square feet) About i-Tree Canopy The concept and prototype of this program were developed by David J. Nowak, Jeffery T. Walton, and Eric J. Greenfield (USDA Forest Service). The current version of this program was developed and adapted to i-Tree by David Ellingsworth, Mike Binkley, and Scott Maco (The Davey Tree Expert Company) Limitations of i-Tree Canopy The accuracy of the analysis depends upon the ability of the user to correctly classify each point into its correct class. As the number of points increase, the precision of the estimate will increase as the standard error of the estimate will decrease. If too few points are classified, the standard error will be too high to have any real certainty of the estimate. Additional support provided by: Use of this tool indicates acceptance of the EULA.