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        <idPurp>The purpose of this project was to conduct an assessment of tree canopy change that occurred between 2015 and 2020 utiliing LiDAR data and a previously prepared canopy dataset. Comprehensive canopy change statistics are provided for various geographies down to the parcel-level scale.</idPurp>
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                <attrdef>This dataset contains three change classes: "No Change," "Gain," and "Loss." "No Change" polygons are areas which remained tree canopy from 2015 to 2020. "Gain" polygons are areas of canopy gained between the two time periods, and includes outward growth along canopy edges. "Loss" polygons are areas where canopy was lost, and effort was taken to remove false loss polygons resulting from discrepancies in classification between datasets while preserving true losses. This process can result in loss polygons that are partially false losses, and smaller losses part of a larger area of false loss are not present in the dataset.

2015 canopy is calculated by adding "No Change" and "Loss" polygons, and 2020 canopy is calculated by adding "No Change" and "Gain" polygons.</attrdef>
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        <rpIndName>Nicholas Antenucci</rpIndName>
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                <delPoint>295 South Water Street</delPoint>
                <city>Kent</city>
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            <evalMethDesc>These data are believed to be logically consistent, though no formal test were performed. Structural integrity is consistent within the parameters for ESRI ArcGIS 10 Geodatabase format.</evalMethDesc>
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        <dataLineage>
            <prcStep>
                <stepDesc>Tree canopy was extracted from LiDAR data collected in the fall of 2019 and spring of 2020 in ArcMap. A digital surface model (DSM) was created by interpolating the maximum values of the first returns of each laser pulse across a 3-foot grid surface (raster). A speckled output was created because some pulses can entirely or partially pass-through tree canopy before detecting a return, so maximum focal statistics in a 3 by 3 rectangular grid window were applied to the DSM to create a smooth surface. 
Another raster representing the elevations of solid surfaces which LiDAR does not penetrate - usually ground and buildings, but occasionally dense evergreens as well, was created by interpolating the minimum values of the last returns (which are also the first return in instances of single return). Mean focal statistics in a 3 by 3 cell window were applied to this raster. The last return raster was subtracted from the first return raster, creating a canopy height model (CHM) – a representation of the heights of objects with complex return structures above the ground. In addition to trees, this includes built structures such as power lines, poles, transmission towers, gantries, etc. The edges of buildings also appeared in the CHM as a result of different cell assignment and focal statistics types applied to the first and last return rasters. The heights of dense evergreens were underestimated due to the inability of LiDAR to penetrate to the ground for a proper base for height.
A constant raster of CHM cells with a height greater than 15 feet was created. Holes less than 500 square feet were filled to eliminate dubious small gaps while preserving discernable canopy gaps. This raster was then shrunk by 2 cells and expanded back by 2 cells. This process eliminated narrow or small features such as building edges, power lines, and poles. This raster was then converted into a vector polygon format for editing.</stepDesc>
                <stepRat>LiDAR canopy extraction provides a much more cost effective way of creating land cover layers than manually digitizing images or feature extraction from imagery. </stepRat>
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            <prcStep>
                <stepDesc>The manual QC process was completed at a scale of 1:2,000 with reference to September 2021 Nearmap imagery and the CHM within ArcMap. In this process, remaining built structures were removed, dense evergreens were drawn in, and points were placed on missing smaller trees which would later be buffered by 9 feet. Editing preserved consistency with the LiDAR data – losses of trees that had occurred between the LiDAR and imagery flights were not removed from the data. Following primary QC, a secondary QC process was conducted by another editor.</stepDesc>
                <stepRat>Multiple QC procedures ensure that Davey will provide the best possible results.</stepRat>
            </prcStep>
            <prcStep>
                <stepDesc>Following the completion of the 2020 canopy layer, an updated canopy change layer was created. The ”No Change” and “Gain” classes were exported from the 2010 to 2015 change dataset and then dissolved without multipart features to create a dataset only representing 2015 canopy. The “Union” tool within ArcMap was used to create a dataset representing canopy change by inputting the 2015 and completed 2020 canopy datasets. “Multipart to Singlepart” was then ran on the output. “Gain” polygons less than 30 square feet were removed from the dataset, and “Loss” polygons less than 30 square feet were recoded as “No Change.” The layer was then dissolved by the change class without multipart features. The “No Change” polygons less than 30 square feet were recoded as “Loss” and the layer was dissolved again. </stepDesc>
                <stepRat>Clean dubious change classification along the edges and improve performance without biasing canopy area to one year over another.</stepRat>
            </prcStep>
            <prcStep>
                <stepDesc>Dated methodology of previous canopy assessments left many herbaceous and shrubby areas, especially within and around forests, classified as tree canopy. These errors of commission resulted in egregious amounts of false loss in the 2015 to 2020 canopy change layer. These false loss polygons were removed from the dataset. To accomplish this efficiently and effectively, forest classes in the 2011 National Land Cover Dataset (NLCD) were quickly edited to remove forests that had since been cleared and forests with apparent thinning, and to add in additional areas where false loss was observed. Loss polygons centrally located within these areas were flagged as dubious. Dubious losses greater than 0.2 acres were exported out and polygons that appeared to be mostly tree canopy in 2015 NAIP imagery were unflagged as dubious. The opposite was done for all other loss polygons greater than 0.2 acres, where polygons that were mostly not tree canopy in 2015 were flagged as dubious. Losses greater than 0.2 acres accounted for 29% of the total loss area identified before the loss QC process. Of these larger losses, it was found that the edited NLCD forests were about 80% successful at classifying losses as true or false. All dubious losses were then removed from the dataset.
At the risk of overcorrecting losses, false gains, while not nearly as egregious as false losses, were also corrected. These omissions in the 2015 assessment were common amongst lower trees, lighter colored trees, tree canopy along railways and rivers, and in areas of cloud cover in the NAIP imagery. Points were placed on these large and/or obvious false gain polygons, and they were recoded as “No Change” and the layer was dissolved again.
</stepDesc>
                <stepRat>Provide the most accurate canopy change results feasible.</stepRat>
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            <prcStep>
                <stepDesc>Metadata created.</stepDesc>
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            <evalMethDesc>Canopy change acreage is calculated using the ArcGIS field calculator.</evalMethDesc>
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