20211019
15510000
1.0
FALSE
tree_canopy_2020
002
1162675.999751
1343910.468221
461880.999890
614381.219397
1
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_Maryland_FIPS_1900_Feet
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WKT>PROJCS["NAD_1983_StatePlane_Maryland_FIPS_1900_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1312333.333333333],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-77.0],PARAMETER["Standard_Parallel_1",38.3],PARAMETER["Standard_Parallel_2",39.45],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2248]]</WKT><XOrigin>-120561099.999716</XOrigin><YOrigin>-95444399.998166203</YOrigin><XYScale>1867.3770826087002</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0042840838492159998</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102685</WKID><LatestWKID>2248</LatestWKID></ProjectedCoordinateSystem>
20250306
10545200
20250306
10545200
150000000
5000
ItemDescription
Esri ArcGIS 13.3.0.52636
tree_canopy_2020
1
-77.529226
-76.888334
39.353624
38.933735
Tree Canopy in Montgomery County, MD.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Tree Canopy is defined as vegetation 8 feet tall or higher. Montgomery Planning regularly purchases LiDAR data to support various products, and the interactive tool you will see below is is one such product. Four band infrared imagery is combined with LiDAR to extract our tree canopy layers. </SPAN></P><P><SPAN>The 2009, 2014, and 2018 tree canopy layers used the "QL2" LiDAR standard, which captures only 4 samples per square meter. Starting with the department’s 2020 tree canopy layers, a higher quality LiDAR standard called "QL1" was used. This new technology captures 8 samples per square meter. </SPAN></P><P><SPAN>The new QL1 technology is better able to capture smaller saplings that the QL2 technology could have have missed. QL1 also has the ability to better detect the fringes of tree canopy. Because of the higher resolution of QL1, the overall tree canopy capture for any given area is higher than it would be if it were measured by the older QL2 today. </SPAN></P><P><SPAN><SPAN>For more information, contact: GIS Manager Information Technology & Innovation (ITI) Montgomery County Planning Department, MNCPPC T: 301-650-5620</SPAN></SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Information Technology & Innovation (ITI), Montgomery County Planning Department, MNCPPC
University of Vermont Spatial Lab
Environment
Tree Canopy
Montgomery County Planning Department
Montgomery County
MNCPPC
Maryland
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>You can copy, modify, distribute, and perform analysis on the data, even for commercial purposes, all without asking permission, but please provide attribution to the Montgomery County Planning Department. The Planning Department makes no warranties about the data, and disclaims liability for all uses of the data, to the fullest extent permitted by applicable law.</SPAN></SPAN></P></DIV></DIV></DIV>
File Geodatabase Feature Class
dataset
EPSG
5.3(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
tree_canopy_2020
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
CLASS
Tree Canopy Change Class
String
255
0
0
SHAPE
SHAPE
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
SHAPE_Length
SHAPE_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
SHAPE_Area
SHAPE_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20250306