,This dataset includes Tempe’s tree inventory data and benefits of the trees as calculated by i-Tree Eco in October 2021. The dataset was put together by West Coast Arborists, Inc. (WCA) in 2021.,,About Tempe's Tree Inventory and i-Tree Eco,,This dataset contains the point locations and attributes of trees within City of Tempe and Facilities. The point dataset was originally collected by WCA, Inc. in 2017 and is routinely updated by WCA and the City of Tempe. The attributes used included TreeID, Exact DBH, Height Range, Exact Height, Condition, Botanical Name, Common Name, Latitude, and Longitude.,,Updates to the Tempe's point layer was made using the results from i-Tree Eco. An i-Tree Eco Analysis was run in September 2021 using i-Tree Eco v6.0.22 and the results were joined based on unique tree ID to Tempe's Tree inventory. The results from i-Tree Eco were added as attributes to the Tempe's Tree inventory. Attributes added were: Structural Value ($), Carbon Storage (lb), Carbon Storage ($), Gross Carbon Sequestration (lb/yr), Gross Carbon Sequestration ($/yr), Avoided Runoff (cubicFT/yr), Avoided Runoff ($/yr), Pollution Removal (oz/yr), Pollution Removal ($/yr) , Total Annual Benefits ($/yr), Height (ft), Canopy Cover (sqft), Tree Condition, Leaf Area (sqft), Leaf Biomass (lb), Leaf Area Index Basal Area (sqft), Cond, i-Tree_ID_BotName, i-Tree_ID_ComName and i-Tree_ID Genus. The exact definitions, meanings, calculations, etc. for the i-Tree Values can be found on i-Tree’s website via the i-Tree Eco User Manual.,,i-Tree Eco. i-Tree Software Suite v6.x. Web. Fall 2021. https://www.itreetools.org,,i-Tree Eco Manual:,,https://www.itreetools.org/documents/275/EcoV6_UsersManual.2021.09.22.pdf Tempe Tree and Shade Coverage (data hub site): https://urbanforestry.tempe.gov/,,Additional Information,,Source: West Coast Arborists, Inc. (WCA) 2021; i-Tree Eco v6 2021,Contact: Richard Adkins,Contact E-Mail: richard_adkins@tempe.gov,Data Source Type: GPS and Google map data; tables in CVS and Excel format,Preparation Method: Field observations and records of individual trees; value calculations based on i-Tree Eco v6 found at https://www.itreetools.org/support/resources-overview/i-tree-manuals-workbooks,Publish Frequency: Every 5 years or as data becomes available,Publish Method: Manual,,Data Dictionary,

The dataset is the estimate of a tree’s structural root zone, which must not be impacted during construction. Buffer distances are calculated for trees on all land types in the District that will be used for tree preservation planning purposes.,

,This dataset contains tree canopy cover layers as derived and calculated via a land cover classification for the City of Tempe and Guadalupe using 2019 NAIP Imagery. The land cover classification utilized a Support Vector Machine Classifier and was calculated for various areas including city boundary, census tracts, census blocks, character areas, etc.,,This dataset also contains the point locations and attributes of trees maintained by the City of Tempe. The point dataset was obtained by WCA from WCA in Oct 2021. The attributes of interest to this study included unique TreeID, Exact DBH, DBH Range, Height Range, Botanical Name, Common Name, Latitude, and Longitude. Updates to the tree layer were made by joining the results from the Oct 2021 i-Tree report. An i-Tree Eco Analysis was run in Oct 2021 using i-Tree Eco v6.0.22 and the results were joined based on unique tree ID to the Tempe’s tree inventory. Attributes added were: Structural Value ($), Carbon Storage (lb), Carbon Storage ($), Gross Carbon Sequestration (lb/yr), Gross Carbon Sequestration ($/yr), Avoided Runoff (cubicFT/yr), Avoided Runoff ($/yr), Pollution Removal (oz/yr), Pollution Removal ($/yr), Total Annual Benefits ($/yr), Height (ft), Canopy Cover (sqft), Tree Condition, Leaf Area (sqft), Leaf Biomass (lb), Leaf Area Index Basal Area (sqft), Cond, i-Tree_ID_BotName, i-Tree_ID_ComName and i-Tree_ID Genus. The exact definitions, meanings, calculations, etc. for the i-Tree Values can be found on i-Tree’s website via the i-Tree Eco User Manual. For certain layers the individual i-Tree values were aggregated by census tract, census block, zip code, etc. These results can be seen in the polygon layers with the following attribute values: CanopyCoverPer_Final, COUNT_Tree_ID, SUM_Replacement_Value____, SUM_Carbon_Storage__lb_, SUM_Carbon_Storage____, SUM_Gross_Carbon_Sequestration__lb_, SUM_Gross_Carbon_Sequestration____y, SUM_Avoided_Runoff__ftÂ__yr_, SUM_Avoided_Runoff____yr_, SUM_Pollution_Removal__oz_yr_, SUM_Pollution_Removal____yr_, and SUM_Total_Annual_Benefits____yr_,,This dataset also contains the Tree Equity Score from American Forests. The Tree Equity Score is a product of American Forests and is a metric that helps cities assess how well they are delivering equitable tree canopy cover to all residents. The score combines measures of tree canopy cover need and priority for trees in urban neighborhoods. It is derived from tree canopy cover, climate, demographic and socioeconomic data. For more information please visit American Forests Tree Equity Score,,Projected Coordinate System: NAD 1983 StatePlane Arizona Central FIPS 0202 (Intl Feet),

The dataset is the etimate of a tree’s structural root zone, which must not be impacted during construction. Buffer distances are calculated for trees on all land types in the District that will be used for tree preservation planning purposes.

,Most up to date layer for 'Updated_122821_Tempe_CanopyCover_CensusBlock_2019',,This dataset contains tree canopy cover layers as derived and calculated via a land cover classification for the City of Tempe and Guadalupe using 2019 NAIP Imagery. The land cover classification utilized a Support Vector Machine Classifier and was calculated for various areas including city boundary, census tracts, census blocks, character areas, etc.,,This dataset also contains the point locations and attributes of trees maintained by the City of Tempe. The point dataset was obtained by WCA from WCA in Oct 2021. The attributes of interest to this study included unique TreeID, Exact DBH, DBH Range, Height Range, Botanical Name, Common Name, Latitude, and Longitude. Updates to the tree layer were made by joining the results from the Oct 2021 i-Tree report. An i-Tree Eco Analysis was run in Oct 2021 using i-Tree Eco v6.0.22 and the results were joined based on unique tree ID to the Tempe’s tree inventory. Attributes added were: Structural Value ($), Carbon Storage (lb), Carbon Storage ($), Gross Carbon Sequestration (lb/yr), Gross Carbon Sequestration ($/yr), Avoided Runoff (cubicFT/yr), Avoided Runoff ($/yr), Pollution Removal (oz/yr), Pollution Removal ($/yr), Total Annual Benefits ($/yr), Height (ft), Canopy Cover (sqft), Tree Condition, Leaf Area (sqft), Leaf Biomass (lb), Leaf Area Index Basal Area (sqft), Cond, i-Tree_ID_BotName, i-Tree_ID_ComName and i-Tree_ID Genus. The exact definitions, meanings, calculations, etc. for the i-Tree Values can be found on i-Tree’s website via the i-Tree Eco User Manual. For certain layers the individual i-Tree values were aggregated by census tract, census block, zip code, etc. These results can be seen in the polygon layers with the following attribute values: CanopyCoverPer_Final, COUNT_Tree_ID, SUM_Replacement_Value____, SUM_Carbon_Storage__lb_, SUM_Carbon_Storage____, SUM_Gross_Carbon_Sequestration__lb_, SUM_Gross_Carbon_Sequestration____y, SUM_Avoided_Runoff__ftÂ__yr_, SUM_Avoided_Runoff____yr_, SUM_Pollution_Removal__oz_yr_, SUM_Pollution_Removal____yr_, and SUM_Total_Annual_Benefits____yr_,,This dataset also contains the Tree Equity Score from American Forests. The Tree Equity Score is a product of American Forests and is a metric that helps cities assess how well they are delivering equitable tree canopy cover to all residents. The score combines measures of tree canopy cover need and priority for trees in urban neighborhoods. It is derived from tree canopy cover, climate, demographic and socioeconomic data. For more information please visit American Forests Tree Equity Score,,Data dictionaries / resource manuals from i-Tree and American Forests,https://www.itreetools.org/support/resources-overview/i-tree-manuals-workbooks,,,https://www.treeequityscore.org/methodology/,,Projected Coordinate System: NAD 1983 StatePlane Arizona Central FIPS 0202 (Intl Feet),

The dataset is the estimate of a tree’s critical root zone, which can not be impacted beyond certain limits. Buffer distances are calculated for trees on all land types in the District that will be used for tree preservation planning purposes.,

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,This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.,University of Vermont Spatial Analysis Laboratory in collaboration with City of Seattle.,This dataset consists of City of Seattle SDOT Urban Forestry Management Units which cover the following tree canopy categories:,,,For more information, please see the 2021 Tree Canopy Assessment.,