Dataset Identification:
Resource Abstract:
- description: Tree Canopy (TC) Assessment metrics for New York City. This dataset consists of TC metrics summarized to several
different sets of geographic base layers. The metrics presented in this table are based on 2010 high resolution land cover
dataset. The TC Assessment is a top-down approach to analyzing the forest. Its purpose is to integrate high resolution land
cover data with other GIS datasets to produce a set of detailed metrics on the forest that allow decision makers to know how
much tree canopy currently exists (termed Existing TC) and amount of land where is it biophysically feasible to establish
tree canopy on (termed Possible TC). Existing TC is determined by extracting all features classified as tree canopy from a
high resolution land cover dataset. Possible TC is determined by identifying land where canopy could possibly exist. Possible
TC in a GIS context is determined by overlaying high resolution land cover with cadastral and planimetric datasets to include
building polygons and road polygons. Possible TC is queried out from this overlay and consists of all land that was not existing
canopy, not water, not a building, and not a road. Possible TC is further divided into two subcategories: Possible-impervious
and Possible-vegetation. Possible-impervious consists of all impervious land that, through modification, could support tree
canopy. Examples of such features are parking lots, driveways (through overhanging coverage) and playgrounds. Possible-vegetation
consists of all land that is low-lying vegetation, primarily grass or shrubs, which could conceivably be converted to support
tree canopy. Examples of such features include residential lawns and playing fields. TC metrics do not serve to address the
issues of where it is socially desirable or financially feasible to plant trees. Rather, the TC metrics serve as the basis
for beginning to form answers to these questions. TC metrics are presented in the attribute table as both absolute area (in
map units) and relative area (percentage of land area) per parcel. For example, an Existing TC Area (TC_E_A) value of 13,677
and an Existing TC Percentage (TC_E_P) of 21.8 indicate that for the parcel in question the area of Existing TC is 13,677
(in map units) and 21.8% of that feature is tree canopy. This assessment was completed by the University of Vermont's
Spatial Analysis Laboratory with funding from National Urban and Community Forestry Advisory Council (NUCFAC) and the National
Science Fundation (NSF) and in cooperation with the USDA Forest Service's Northern Research Station. The TC Assessment
protocols were developed by the USDA Forest Service's Northern Research Station and the University of Vermont's
Spatial Analysis Laboratory in collaboration with the Maryland Department of Natural Resources. TC assessments have been conducted
for numerous communities throughout the U.S. where the results have been instrumental in helping to establishing TC goals.;
abstract: Tree Canopy (TC) Assessment metrics for New York City. This dataset consists of TC metrics summarized to several
different sets of geographic base layers. The metrics presented in this table are based on 2010 high resolution land cover
dataset. The TC Assessment is a top-down approach to analyzing the forest. Its purpose is to integrate high resolution land
cover data with other GIS datasets to produce a set of detailed metrics on the forest that allow decision makers to know how
much tree canopy currently exists (termed Existing TC) and amount of land where is it biophysically feasible to establish
tree canopy on (termed Possible TC). Existing TC is determined by extracting all features classified as tree canopy from a
high resolution land cover dataset. Possible TC is determined by identifying land where canopy could possibly exist. Possible
TC in a GIS context is determined by overlaying high resolution land cover with cadastral and planimetric datasets to include
building polygons and road polygons. Possible TC is queried out from this overlay and consists of all land that was not existing
canopy, not water, not a building, and not a road. Possible TC is further divided into two subcategories: Possible-impervious
and Possible-vegetation. Possible-impervious consists of all impervious land that, through modification, could support tree
canopy. Examples of such features are parking lots, driveways (through overhanging coverage) and playgrounds. Possible-vegetation
consists of all land that is low-lying vegetation, primarily grass or shrubs, which could conceivably be converted to support
tree canopy. Examples of such features include residential lawns and playing fields. TC metrics do not serve to address the
issues of where it is socially desirable or financially feasible to plant trees. Rather, the TC metrics serve as the basis
for beginning to form answers to these questions. TC metrics are presented in the attribute table as both absolute area (in
map units) and relative area (percentage of land area) per parcel. For example, an Existing TC Area (TC_E_A) value of 13,677
and an Existing TC Percentage (TC_E_P) of 21.8 indicate that for the parcel in question the area of Existing TC is 13,677
(in map units) and 21.8% of that feature is tree canopy. This assessment was completed by the University of Vermont's
Spatial Analysis Laboratory with funding from National Urban and Community Forestry Advisory Council (NUCFAC) and the National
Science Fundation (NSF) and in cooperation with the USDA Forest Service's Northern Research Station. The TC Assessment
protocols were developed by the USDA Forest Service's Northern Research Station and the University of Vermont's
Spatial Analysis Laboratory in collaboration with the Maryland Department of Natural Resources. TC assessments have been conducted
for numerous communities throughout the U.S. where the results have been instrumental in helping to establishing TC goals.
Citation
- Title NYC Urban Tree Canopy Assessment Metrics 2010.
-
- creation Date
2018-02-03T22:54:30.845844
Resource language:
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Metadata data stamp:
2018-08-06T21:26:39Z
Resource Maintenance Information
- maintenance or update frequency:
- notes: This metadata record was generated by an xslt transformation from a dc metadata record; Transform by Stephen M. Richard, based
on a transform by Damian Ulbricht. Run on 2018-08-06T21:26:39Z
Metadata contact
-
pointOfContact
- organisation Name
CINERGI Metadata catalog
-
- Contact information
-
-
- Address
-
- electronic Mail Address cinergi@sdsc.edu
Metadata language
eng
Metadata character set encoding:
utf8
Metadata standard for this record:
ISO 19139 Geographic Information - Metadata - Implementation Specification
standard version:
2007
Metadata record identifier:
urn:dciso:metadataabout:03e47646-77ff-48cd-bd0c-b7b4e2935507
Metadata record format is ISO19139 XML (MD_Metadata)