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FID 15 (2)4/17/22, 10:28 AMi-Tree Canopy Page 1 of 3https://canopy.itreetools.org/report i-Tree Canopy Cover Assessment and Tree Beneﬁts Report Estimated using random sampling statistics on 4/17/2022 Abbr.Cover Class Description Points % Cover ± SE Area (ft²) ± SE H Grass/Herbaceous 73 73.00 ± 4.44 95042.55 ± 5780.14 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 14 14.00 ± 3.47 18227.34 ± 4517.61 T Tree/Shrub 13 13.00 ± 3.36 16925.39 ± 4378.51 W Water 0 0.00 ± 0.00 0.00 ± 0.00 Total 100 100.00 130195.28 Tree Beneﬁt Estimates: Carbon (English units) Description Carbon (lb)±SE CO₂ Equiv. (lb)±SE Value (USD)±SE Report a map error Imagery ©2022 , MassGIS, Commonwealth of Massachusetts EOEA, Maxar Technologies, U.S. Geological Survey, USDA/FPAC/GEO H IB IO IR S T W0% 20% 40% 60% 80% 0ft² 20kft² 40kft² 60kft² 80kft² 100kft²Grass/Herbaceous Impervious Buildings Impervious Other Impervious Road Soil/Bare Ground Tree/Shrub Water Land Cover Cover Class% CoveredArea Covered (ft²) 4/17/22, 10:28 AMi-Tree Canopy Page 2 of 3https://canopy.itreetools.org/report Sequestered annually in trees 880.51 ±227.78 3,228.55 ±835.21 $75 ±19 Stored in trees (Note: this beneﬁt is not an annual rate)26,640.10 ±6,891.66 97,680.35 ±25,269.41 $2,272 ±588 Currency is in USD and rounded. Standard errors of removal and beneﬁt amounts are based on standard errors of sampled and classiﬁed points. Amount 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 2.22 ±0.58 $0 ±0 NO2 Nitrogen Dioxide removed annually 12.49 ±3.23 $0 ±0 O3 Ozone removed annually 254.63 ±65.87 $2 ±0 SO2 Sulfur Dioxide removed annually 7.78 ±2.01 $0 ±0 PM2.5 Particulate Matter less than 2.5 microns removed annually 11.03 ±2.85 $3 ±1 PM10*Particulate Matter greater than 2.5 microns and less than 10 microns removed annually 23.59 ±6.10 $1 ±0 Total 311.74 ±80.64 $5 ±1 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 531.57 ±137.51 $5 ±1 E Evaporation 28,277.00 ±7,315.12 N/A N/A I Interception 28,317.00 ±7,325.47 N/A N/A T Transpiration 41,111.80 ±10,635.42 N/A N/A PE Potential Evaporation 231,599.24 ±59,913.55 N/A N/A PET Potential Evapotranspiration 163,290.84 ±42,242.52 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: 4/17/22, 10:28 AMi-Tree Canopy Page 3 of 3https://canopy.itreetools.org/report Use of this tool indicates acceptance of the EULA.