Name: Tree Crown

Display Field: class

Type: Feature Layer

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>DHC used the 2022 4-band leaf-on orthoimagery and the December 26, 2021 leaf-off LiDAR as inputs. An object-oriented machine learning classification algorithm generated the canopy using both the imagery and 3D LiDAR data. The resulting canopy was then segmented using an individual tree detection inverse-watershed algorithm. These segments were subsequently classified into coniferous, deciduous, or dead tree classes. Manual editing was conducted by a 3 person crew based on the 2022 orthoimagery and the 2021 LiDAR nDSM (normalized Digital Surface Model) to eliminate artifacts (buildings, poles, cars, etc) from the canopy file. Lastly, tree height and crown area metrics were calculated for each canopy polygon by performing a zonal stats function on the Canopy Height Model (CHM). A height cut-off of 2m was used based on the zonal stats function. </SPAN></P></DIV></DIV></DIV>

Copyright Text: DHC, City of Maple Ridge

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Fields:

• OBJECTID ( type: esriFieldTypeOID, alias: OBJECTID )
• ID ( type: esriFieldTypeDouble, alias: ID )
• crownArea ( type: esriFieldTypeDouble, alias: crownArea )
• class ( type: esriFieldTypeString, alias: class, length: 1073741822 )
• LIDAR_Year ( type: esriFieldTypeInteger, alias: LIDAR_Year )
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