Previous: Calculating Vegetation Analytics
inSITE VM allows users to create custom analytics parameters to meet specific project or regional needs. Depending on your inSITE administrator’s settings, your personal inSITE account may or may not include access to inSITE VM’s custom detection parameter tools. If you need access to custom detection parameters tools, contact your organization’s inSITE adminstrator.
inSITE currently allows users to create custom analytics parameters for routine detections, cage clearance, and IVM. Orchard detections parameters are not user editable.
Creating New Analytics Parameters
To create a custom set of detection parameters, open the Veg Management widget, click the edit menu under Detection Parameters, and choose New. Enter a name and description for your custom parameters. Check the Make Default box if you would like to make this set of parameters the default option in the Parameters menu each time you log in. Click Save then click OK in the Warning window to add your new set of parameters to the Parameters menu.
Adding Parameter Categories
Click the Add New Category button. Enter a category name. Select a priority level for the new category. 1 represents the highest priority category. If desired, enter an acronym for the category (e.g., “FI1” for a priority 1 fall-in detection). Select Critical or Potential from the Status dropdown menu. Critical status indicates that a calculation result likely represents a risk now or in the near future. Potential status indicates that a calculation result may represent a risk in the future and should be further assessed during an on site inspection. If desired, enter a description of the detection category. Click Save then click OK in the Warning window to add the new category to your detection parameters.
Defining Criteria with Sub Statements
To determine which trees, cages, or IVM polygons will return calculation results in your custom parameters, you will use one or more sub statements. Sub statements are simple structured query language (SQL) expressions that use one or more data attributes from the potential detection trees in your inSITE database. The SQL expressions consist of a data attribute, or field, a value that sets the threshold for a detection for the selected data attribute, and an operator that determines whether the threshold is set at greater than, less than, equal to, or not equal to the selected value.
In the Category Setting window, Click the Add New Sub Statement button. A new line will appear in the sub statement table. Click the add button to add a sub statement.
In the Add New Parameter window, select one of the following data attributes from the Field dropdown menu.
In the following detection data attribute definitions, conductor refers to a LiDAR-derived vector model of a circuit’s primary conductors. Point refers to a LiDAR point classified as vegetation. Tree refers to a group of LiDAR points identified as a single canopy unit during vegetation segmentation. Ground refers to a ground model consisting of LiDAR points classified as ground.
Electric Distribution Tree Detection Data Attributes
- GI_D2W (Grow In Distance to Wire): The 3D radial distance from a conductor to the closest point on the tree for points with elevation values higher than the conductor.
- UG_D2W (Undergrowth Distance to Wire): The 3D radial distance from a conductor to the closest point on the tree for points with elevation values lower than the conductor.
- FI_D2W (Fall In Distance to Wire): The 2D ground distance from the tree to a conductor for trees with a highest point high enough to strike a conductor if the tree fell directly toward the conductor.
- OH_D2W (Overhang Distance to Wire): The 3D radial distance from a conductor to the closest point on the tree directly above the conductor. OH_D2W refers only to points on the tree directly above the conductor. A tree’s GI_D2W or UG_D2W value may be lower than its OH_D2W value.
- HEIGHT: The 2D distance from the ground to the highest point on the tree.
- VOLTAGE: The voltage carried by the conductor from the circuit for which the tree represents a detection.
- HEALTH: The probable health of the tree as determined by four-band (RGB-NIR) imagery analytics. Alive indicates imagery analytics identified no probable dead or failed vegetation within the tree’s vegetation segmentation boundary. Dying or Dead indicates imagery analytics identified probable dead or failed vegetation within the tree’s vegetation segmentation boundary.
Electric Transmission Tree Detection Data Attributes
- D2W (Grow In Distance to Wire): The 3D radial distance from a conductor to the closest point on the tree.
- OVR or FALLDIST (Fall In Distance to Wire): The minimum 3D radial distance the tree would reach from a conductor if the tree fell directly toward the conductor. Zero or negative values indicate the tree would strike the conductor if the tree fell directly toward the conductor.
- HT (Height): The 2D distance from the ground to the highest point on the tree.
- MODELED: Binary value describing whether 2D and 3D radial distances between the tree and the conductor were analyzed using a vector model of the conductor that was adjusted to reflect maximum operating temperature and amperage (max op conditions). A value of 0 indicates the measurements do not reflect max op conditions. A value of 1 indicates the measurements reflect max op conditions.
- ASFLOWN: Binary value describing whether 2D and 3D radial distances between the tree and the conductor were analyzed using a vector model of the conductor derived from LiDAR points with no adjustments, reflecting conductor position at the time of LiDAR survey. A value of 0 indicates the measurements do not reflect conductor position at the time of LiDAR survey. A value of 1 indicates the measurements reflect conductor position at the time of LiDAR survey.
- VOLTAGE: The voltage carried by the conductor from the circuit for which the tree represents a detection.
- HEALTH: The probable health of the tree as determined by four-band (RGB-NIR) imagery analytics. Not Assessed indicates the tree was not analyzed using four-band imagery. Healthy indicates imagery analytics identified no probable vegetation health issues within the tree’s vegetation segmentation boundary. Unhealthy indicates imagery analytics identified probable vegetation health issues within the tree’s vegetation segmentation boundary.
- DBH (Diameter at Breast Height): The diameter of the tree’s trunk at a height of 1.4 meters above the ground.
- DC_VENDOR (Vendor Detection Code): The customer-specified code assigned to a tree detection during LiDAR data processing.
Electric Transmission Cage Clearance Data Attributes
- Zone: The customer-defined area around the footprint of a transmission tower or pole. For towers, Zone 1 is a rectangular polygon encompassing the tower footprint, Zone 2 is a 5 foot buffer around the footprint, and Zone 3 is a 10 foot buffer around the footprint. For poles, Zone 1 is a circle with a 5 foot radius from the center point of the tower footprint and Zone 2 is a circle with a 10 foot radius.
- VEG_MAX: The maximum height of vegetation points within the identified cage clearance zone.
- VEG_MIN: The minimum height of vegetation points within the identified cage clearance zone.
- Type: The type of structure (tower or pole).
Integrated Vegetation Management (IVM) Polygon Attributes
- IVM_V_MAX: The maximum height of vegetation points within the identified IVM polygon.
- IVM_V_MIN: The minimum height of vegetation points within the identified IVM polygon.
Select one of the following operators from the Operator dropdown menu.
- > (Less than)
- <= (Less than or equal to)
- = (Equal to)
- >= (Greater than or equal to)
- > (Greater than)
- != (Not equal to)
Enter a value in the Value box. If a data attribute that uses non-numerical values (such as HEALTH) is selected, select a value from the Value dropdown menu. Click Add to add the sub statement to the current detection category.
Your completed sub statement will provide a complete description of one criterion for identifying a detection in the current detection category. For example, HEALTH = Unhealthy means only trees with HEALTH values equal to Unhealthy will be counted as detections in the current detection category. GI_D2W <= 3 means only trees with GI_D2W values less than or equal to 3 feet will be counted as detections in the current detection category.
You may add one more than one calculation to a sub statement if you want inSITE to test multiple data attributes before returning a detection results. In the Sub Statement list in the Category Setting window, click the Add button on a line with an existing sub statement. Select a field and operator and enter a value then click Add. The new calculation will appear in the same line as the existing calculation, separated by AND. Sub statements with calculations separated by AND require a tree to return positive results for all calculations in the sub statement before the tree is counted as a detection. For example, HEIGHT > 6 AND UG_D2W <= 7 will count trees that are taller than 6 feet and have an undergrowth distance to wire less than or equal to 7 feet.
Click Add New Sub Statement again to add additional sub statements to the current detection category. Multiple sub statements within a detection category are separated by OR. inSITE will count trees that meet the criteria for any substatement as detections - a tree does not have to meet all criteria for all sub statements separated by OR to be counted as a detection. For example, GI_D2W <= 2 OR FI_D2W <=5 will count trees with a grow in distance to wire less than or equal to 2 feet or a fall in distance to wire of less than or equal to 5 feet as detections.
Cage Clearance Parameters
inSITE's default cage clearance parameters evaluate multiple attributes to rank structures by overall risk priority. The default cage clearance parameters group structures into five categories based on the maximum vegetation height (VEG_MAX) in each cage zone. See Electric Transmission Cage Clearance Data Attributes above for a list of the individual attributes for each structure. See the table below for maximum vegetation heights by zone for each cage clearance category.
inSITE's default cage clearance are not user editable. If your vegetation management program requires adjustments to the default cage clearance parameters, please contact your organization's inSITE administrator.
| Cage Clearance Categories by Max. Vegetation Height | |||
| Category 1 | Zone 1 | Zone 2 | Zone 3 |
| 10 ft. or Higher | 10 ft. or Higher | Any Height | |
| Category 2 | Zone 1 | Zone 2 | Zone 3 |
| 3-10 ft. | 3-10 ft. | Any Height | |
| Category 3 | Zone 1 | Zone 2 | Zone 3 |
| 1.5-3 ft. | 1.5-3 ft. | Any Height | |
| Category 4 | Zone 1 | Zone 2 | Zone 3 |
| 1.5 ft. or Shorter | 1.5 ft. or Higher | Any Height | |
| 1.5 ft. or Higher | 1.5 ft. or Shorter | Any Height | |
| 1.5 ft. or Shorter | 1.5 ft. or Shorter | 1.5 ft. or Higher | |
| 1.5 ft. or Higher | 3 ft. or Higher | Any Height | |
| 3 ft. or Higher | 1.5 ft. or Higher | Any Height | |
| 10 ft. or Higher | 1.5 ft. or Higher | Any Height | |
| 1.5 ft. or Higher | 10 ft. or Higher | Any Height | |
| Category 5 | Zone 1 | Zone 2 | Zone 3 |
| 1.5 ft. or Shorter | 1.5 ft. or Shorter | 1.5 ft. or Shorter | |
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