The URL can be used to link to this page

FID 0 (2)- PDF4/16/22, 10:26 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 4/16/2022 Abbr.Cover Class Description Points % Cover ± SE Area (ft²) ± SE H Grass/Herbaceous 66 66.00 ± 4.74 84163.81 ± 6040.78 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 13 13.00 ± 3.36 16577.72 ± 4288.57 T Tree/Shrub 21 21.00 ± 4.07 26779.39 ± 5194.03 W Water 0 0.00 ± 0.00 0.00 ± 0.00 Total 100 100.00 127520.93 Tree Beneﬁt Estimates: Carbon (English units) 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 20kft² 40kft² 60kft² 80kft² Grass/Herbaceous Impervious Buildings Impervious Other Impervious Road Soil/Bare Ground Tree/Shrub Water Land Cover Cover Class% CoveredArea Covered (ft²) 4/16/22, 10:26 AMi-Tree Canopy Page 2 of 3https://canopy.itreetools.org/report Description Carbon (lb)±SE CO₂ Equiv. (lb)±SE Value (USD)±SE Sequestered annually in trees 1,393.15 ±270.21 5,108.23 ±990.77 $119 ±23 Stored in trees (Note: this beneﬁt is not an annual rate)42,150.04 ±8,175.27 154,550.14 ±29,975.97 $3,594 ±697 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 3.52 ±0.68 $0 ±0 NO2 Nitrogen Dioxide removed annually 19.76 ±3.83 $0 ±0 O3 Ozone removed annually 402.88 ±78.14 $3 ±1 SO2 Sulfur Dioxide removed annually 12.31 ±2.39 $0 ±0 PM2.5 Particulate Matter less than 2.5 microns removed annually 17.45 ±3.38 $4 ±1 PM10*Particulate Matter greater than 2.5 microns and less than 10 microns removed annually 37.32 ±7.24 $2 ±0 Total 493.23 ±95.67 $9 ±2 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 841.04 ±163.13 $8 ±1 E Evaporation 44,739.95 ±8,677.60 N/A N/A I Interception 44,803.24 ±8,689.87 N/A N/A T Transpiration 65,047.21 ±12,616.32 N/A N/A PE Potential Evaporation 366,436.99 ±71,072.76 N/A N/A PET Potential Evapotranspiration 258,359.24 ±50,110.40 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: 4/16/22, 10:26 AMi-Tree Canopy Page 3 of 3https://canopy.itreetools.org/report Use of this tool indicates acceptance of the EULA.