20241126
15332900
1.0
FALSE
Tree_Canopy_Height_Change_2014_2019
739841.169854
811908.170076
2908284.970105
2970046.969940
1
002
0.000
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_Massachusetts_Mainland_FIPS_2001_Feet
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20240116
15550200
20240116
15550200
150000000
5000
Jarlath O'Neil-Dunne
University of Vermont Spatial Analysis Laboratory
Director
802-656-3324
802-656-8683
Aiken Room 205
81 Carrigan Drive
Burlington
VT
05405
US
joneildu@uvm.edu
ArcGIS Metadata
1.0
2019 High Resolution Tree Crowns with 2014 and 2019 height values for the Boston Metro Area, MA
vector digital data
<DIV STYLE="text-align:Left;"><DIV><P><SPAN>A tree crowns layer was derived from 2018 NAIP and 2019 LiDAR, and then each tree crown polygon was populated with the 95th percentile nDSM (height above ground) values from LiDAR collected in 2014 and in 2019. Object-based image analysis techniques (OBIA) were employed to extract potential tree crowns including the area of the crown and trees using the best available remotely sensed and vector GIS datasets. 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 insure that the end product is both accurate and cartographically pleasing. Following the automated OBIA mapping a detailed manual review of the dataset was carried out at a scale of 1:2000 and all observable errors were corrected.</SPAN></P></DIV></DIV>
Tree crowns feature class with 2014 and 2019 height values developed for land cover mapping and tree canopy change assessment in support of the City of Boston.
University of Vermont Spatial Analysis Laboratory in collaboration with the City of Boston.
Jarlath O'Neil-Dunne
University of Vermont Spatial Analysis Laboratory
Director
802-656-3324
802-656-8683
Aiken Room 205
81 Carrigan Drive
Burlington
VT
05405
US
joneildu@uvm.edu
Boston Metro
MA
2019, 2014
Tree Canopy
Tree Crowns
Tree Canopy Assessment
ISO 19115 Topic Categories
imageryBaseMapsEarthCover
Tree Canopy
Tree Crowns
Tree Canopy Assessment
imageryBaseMapsEarthCover
Boston Metro
MA
2019
2014
Esri ArcGIS Pro 2.6
true
0
0
0
0
1
-71.191052
-70.923426
42.397544
42.227040
0
TreeCanopyHeightChange_20142019_Boston
Feature Class
0
OBJECTID
FID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
Class_name
Tree Canopy Change Class
University of Vermont Spatial Analysis Laboratory
Class_name
String
254
0
0
No Change
Tree canopy present in both 2014 and 2019
University of Vermont Spatial Analysis Laboratory
Gain
Tree canopy present in 2019 but not present (or below minimum height threshold) in 2014
University of Vermont Spatial Analysis Laboratory
Loss
Tree canopy present in 2014 but no longer present in 2019
University of Vermont Spatial Analysis Laboratory
CanHghtT2
CanHghtT2
Double
8
38
8
2019 canopy/crown height in feet
University of Vermont Spatial Analysis Laboratory
CanHghtT1
CanHghtT1
Double
8
38
8
2016 canopy/crown height in feet
University of Vermont Spatial Analysis Laboratory
Shape_Leng
Shape_Leng
Double
8
38
8
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
Enterprise Geodatabase Feature Class
0.000
dataset
EPSG
5.3(9.0.0)
Simple
FALSE
0
TRUE
FALSE
20240116