20200127
12470400
1.0
ISO 19139 Metadata Implementation Specification GML3.2
FALSE
Canopy2013to2020
002
3055623.590207
3089909.430100
1227242.465113
1277341.480401
1
0.000
Projected
GCS_North_American_1983_HARN
Linear Unit: Foot_US (0.304801)
NAD_1983_HARN_StatePlane_Colorado_North_FIPS_0501_Feet
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20230222
20560900
20230222
20560900
150000000
5000
FGDC
Esri ArcGIS 13.0.2.36056
Canopy2013to2020
Christy Spielman
City of Boulder
GIS Point of Contact
3198 Broadway
Boulder
CO
80304
SpielmanC@BoulderColorado.gov
US
303-413-7231
Christy Spielman
Christy Spielman
Christy Spielman
Christy Spielman
City of Boulder
Open Data Steward
3198 Broadway
Boulder
CO
80304
SpielmanC@BoulderColorado.gov
US
303-413-7231
Christy Spielman
Christy Spielman
Christy Spielman
City of Boulder
GIS Analyst
3198 Broadway
Boulder
CO
80304
SpielmanC@BoulderColorado.gov
US
303-413-7231
Christy Spielman
Christy Spielman
Christy Spielman
1
-105.301578
-105.178626
40.094523
39.956717
The purpose of this project was to conduct a top down canopy assessment approach. Utilizing the 2013 National Agricultural Imagery Program (NAIP) 1m imagery and advance remote sensing technology, land cover features were identified by using an object-based image analysis (OBIA) methodology to process and analyze high resolution imagery. This technique allows a more accurate and cost-effective automated feature extraction of land cover. The final GIS land cover layer allows the City of Boulder, Colorado to conduct additional spatial analyses necessary to identify and map the existing land cover layer for future use.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>With the size of the study area measured at approximately 27.3 square miles, a cost-effective and accurate strategy for assessing the urban forest is the use of remotely sensed and semi-automated classification methods to inventory the current canopy cover and to analyze data for future planting goals. </SPAN></P></DIV></DIV></DIV>
Tree CanopyParks and Recreation
<DIV STYLE="text-align:Left;"><DIV><DIV><DIV STYLE="font-size:12pt"><P><SPAN STYLE="font-size:9pt">As determined by the City of Boulder, Colorado.</SPAN></P></DIV></DIV></DIV></DIV>
As determined by the City of Boulder, Colorado.
Boulder, Colorado, Tree Canopy, Trees, Urban Forest, Urban Canopy
Christy Spielman
City of Boulder
GIS Point of Contact
3198 Broadway
Boulder
CO
80304
SpielmanC@BoulderColorado.gov
US
303-413-7231
Christy Spielman
Christy Spielman
Christy Spielman
False
Christy Spielman
Christy Spielman
City of Boulder
Open Data Steward
3198 Broadway
Boulder
CO
80304
SpielmanC@BoulderColorado.gov
US
303-413-7231
Christy Spielman
Christy Spielman
False
Christy Spielman
Christy Spielman
City of Boulder
GIS Analyst
3198 Broadway
Boulder
CO
80304
SpielmanC@BoulderColorado.gov
US
303-413-7231
Christy Spielman
Christy Spielman
Christy Spielman
False
Christy Spielman
Shapefile
Christy Spielman
Boulder Parks & Recreation
GIS Analyst
3198 Broadway
Boulder
CO
80304
SpielmanC@BoulderColorado.gov
US
303-413-7231
0.000
dataset
EPSG
6.3(9.0.0)
0
Simple
FALSE
0
FALSE
TRUE
Canopy2013to2020
Feature Class
0
ESRI
ESRI
FID
FID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
CoverClass
COVERCLASS
String
28
0
0
Land cover class type.
Forestry Data Dictionary
SUBCOMMUNI
SUBCOMMUNI
String
50
0
0
LULC
LULC
Integer
5
5
0
SHAPE_Leng
SHAPE_Leng
Double
19
0
0
SHAPE_Area
SHAPE_Area
Double
19
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20230222
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>As determined by the City of Boulder, Colorado.</SPAN></P></DIV></DIV></DIV>
As determined by the City of Boulder, Colorado.
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.
The Land cover acreages are calculated using ArcGIS field calculator and percentage of coverage per land cover class are determined by dividing the current acreage for each class by the total area for the City. 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.
The main QC process was completed at a scale of 1:2000 by GIS Technicians and Specialists in order to ensure that the land cover classification layer was 90% to 95% accurate. During this process, editing was completed using ArcGIS® to identify, clean, and correct any misclassification or topology errors in the final land cover dataset. The use of secondary sources like the Map2Google tool in ArcGIS® and Microsoft's Birds Eye View was also be used to aid in the quality check process. Once the initial intensive QC process was completed, each of the layers were examined by the GIS Analyst to correct any missed misclassifications and also to add any additional features, if necessary.
Multiple QC procedures ensure that Davey will provide the best possible land cover results.
Will Ayersman
Davey Resource Group
GIS Analyst
295 S. Water St.
Kent
OH
44240
william.ayersman@davey.com
US
330-673-5685 x8048
8:00 am-4:30 pm EST
Will Ayersman
After completing the accuracy assessments, the final comprehensive land cover dataset was processed in ArcGIS® using geoprocessing, analysis, and data management tools to measure the existing land cover layer. Additional GIS analysis was completed using current data sources for further investigation and in support of the urban canopy assessment process. Area and percentages of land cover classes were calculated for each type and metadata was created. Final data deliverables were placed into an ArcGIS 10 Geodatabase for client delivery.
To analyze land cover metrics and deliver all data in an organized fashion.
Metadata was created
Random plot locations were generated and verified to ensure that the data met client standards and assured that automated mapping and data analysis performed by GIS specialists accurately reflected the true nature and extent of the land cover. A total of 1,000 points were generated for the project area. Each point was examined and a confusion matrix was created to calculate overall accuracy, Kappa coefficient, and a user's and producer's accuracy.
Davey statistically tests all land cover data to ensure the urban tree canopy assessment yields statistically significant results.
Using advanced GIS and remote sensing software, Davey's GIS Analyst utilized a top-down, automated feature extraction approach to process and identify an initial 3-class land cover layer of canopy, impervious surfaces, and all other landcover. ArcGIS 10 and Overwatch's Feature Analyst were used to complete the initial automated feature extraction. Ancillary GIS data, provided by the City, was also utilized to aid in the initial extraction and the quality control process. Bare soils were digitized by a GIS Techinican so they are not confused with impervious surfaces. The open water layer was created by combining hydrologic datasets from the city as well as manually panning through the city limits to identify any new water features they may have not been included in the original data. After extraction and editing, the initial 4-class land cover layer included: Tree/shrubs, Impervious surfaces, bare soils and open water. These features were imported into a custom model to generate the fifth land cover class which included pervious surfaces (grass and meadow areas).
Feature extraction provides a much more cost effective way of creating land cover layers than manually digitizing images.
Christy Spielman
City of Boulder
Open Data Steward
3198 Broadway
Boulder
CO
80304
SpielmanC@BoulderColorado.gov
US
303-413-7231
Christy Spielman
Christy Spielman
City of Boulder
GIS Point of Contact
3198 Broadway
Boulder
CO
80304
SpielmanC@BoulderColorado.gov
US
303-413-7231
Christy Spielman
Christy Spielman