November 2021
LiDAR: Rendering the world in detail LiDAR for Vegetation Management A map showing LiDAR vegetation management Month: November 2021Organization: Elexicon EnergyProducts: ArcGIS Pro Vegetation is a leading cause of service interruption for electricity distributors. LiDAR-based vegetation management is rapidly growing in popularity and practicality. Elexicon Energy engaged Quantum Spatial Canada to perform a LiDAR pilot acquisition, with one deliverable centred around vegetation management. The pilot area included a section that was identified as a hotspot in the previous analysis using Esri’s Space Time Pattern Mining tools. Rendering the world in detail: from data to 3D model Orthomosaic DSM The “Munich—Leica CityMapper 2: DSM, 3D Mesh and GIS Layers” app is a great example of the capabilities that can be unlocked when LiDAR data is processed in ArcGIS. Let’s see how this app combines aerial imagery and point cloud data collected using LiDAR to create a digital twin of this major German city. An animated GIF showing a photo of Munich in ArcGIS Online. The user adjusts the angle of the image, revealing that it is two-dimensional. An orthomosaic image is a collection of aerial images stitched together and colour corrected to create one seamless mosaic dataset. The mosaic is also geometrically corrected using a digital surface model (DSM) to resolve any distortion that may have occurred before or during the stitching process. This results in a highly accurate DSM orthomosaic layer that is used to create tiled image and tile cache map layers as well as conduct change analysis within an area of interest. 3D Point Cloud An animated GIF showing an image of central Munich. The user opens up a menu and clicks on the option that says "3D Point Cloud". The image appears to turn into a set of closely packed points. A 3D point cloud layer is a collection of closely packed points that, taken together, resemble the real world. Each point has an x, y and z value and can also contain a classification based on its material type including vegetation, ground points, buildings and more. 3D point cloud layers can be used to isolate a specific material type and perform analysis to find out, for example, how vegetation is affecting the utility networks in the area. 3D Mesh The 3D mesh layer is a surface made up of small triangles. It is generated using the 3D point cloud layer. An animated GIF showing an image of central Munich in ArcGIS Online. The user opens a menu and clicks on an option called "3D Mesh". This uses previously generated point cloud data to show a 3D version of the city. The 3D mesh layer is used to create a virtual representation of the real world, also known as a digital twin. Digital twins are often used to observe and monitor change as well as test and predict future states of the natural and built environment. We can use digital twins to gain a new perspective when planning and managing utility networks, parcel boundaries and traffic networks in major cities as well as how they are impacted by the surrounding environment. An animated GIF showing central Munich in ArcGIS. The user pulls the image back and forth, showing that the buildings, trees and roads have been rendered in three dimensions. View the Munich app for yourself Check out these amazing outside-of-the-box applications of LiDAR LiDAR Images Show Mayan Civilization in a New Light Image of Mayan ruins surrounded by forest, with blue sky above them. Reveal: Uncovering the Hidden World of Sinkholes Image of pavement with a sinkhole broken into the middle of it. Construction is ongoing to fill and repair the sinkhole. GIS data & resources
Datasets available for download
This dataset has no data
Additional Info
| Field | Value |
|---|---|
| Last Updated | March 25, 2026, 02:21 (UTC) |
| Created | March 25, 2026, 02:21 (UTC) |
|
Domain / Topic
Domain or topic of the dataset being cataloged.
|
|
|
Title
Title for the Dataset.
|
November 2021 |
|
Description
A description of the dataset.
|
LiDAR: Rendering the world in detail LiDAR for Vegetation Management A map showing LiDAR vegetation management Month: November 2021Organization: Elexicon EnergyProducts: ArcGIS Pro Vegetation is a leading cause of service interruption for electricity distributors. LiDAR-based vegetation management is rapidly growing in popularity and practicality. Elexicon Energy engaged Quantum Spatial Canada to perform a LiDAR pilot acquisition, with one deliverable centred around vegetation management. The pilot area included a section that was identified as a hotspot in the previous analysis using Esri’s Space Time Pattern Mining tools. Rendering the world in detail: from data to 3D model Orthomosaic DSM The “Munich—Leica CityMapper 2: DSM, 3D Mesh and GIS Layers” app is a great example of the capabilities that can be unlocked when LiDAR data is processed in ArcGIS. Let’s see how this app combines aerial imagery and point cloud data collected using LiDAR to create a digital twin of this major German city. An animated GIF showing a photo of Munich in ArcGIS Online. The user adjusts the angle of the image, revealing that it is two-dimensional. An orthomosaic image is a collection of aerial images stitched together and colour corrected to create one seamless mosaic dataset. The mosaic is also geometrically corrected using a digital surface model (DSM) to resolve any distortion that may have occurred before or during the stitching process. This results in a highly accurate DSM orthomosaic layer that is used to create tiled image and tile cache map layers as well as conduct change analysis within an area of interest. 3D Point Cloud An animated GIF showing an image of central Munich. The user opens up a menu and clicks on the option that says "3D Point Cloud". The image appears to turn into a set of closely packed points. A 3D point cloud layer is a collection of closely packed points that, taken together, resemble the real world. Each point has an x, y and z value and can also contain a classification based on its material type including vegetation, ground points, buildings and more. 3D point cloud layers can be used to isolate a specific material type and perform analysis to find out, for example, how vegetation is affecting the utility networks in the area. 3D Mesh The 3D mesh layer is a surface made up of small triangles. It is generated using the 3D point cloud layer. An animated GIF showing an image of central Munich in ArcGIS Online. The user opens a menu and clicks on an option called "3D Mesh". This uses previously generated point cloud data to show a 3D version of the city. The 3D mesh layer is used to create a virtual representation of the real world, also known as a digital twin. Digital twins are often used to observe and monitor change as well as test and predict future states of the natural and built environment. We can use digital twins to gain a new perspective when planning and managing utility networks, parcel boundaries and traffic networks in major cities as well as how they are impacted by the surrounding environment. An animated GIF showing central Munich in ArcGIS. The user pulls the image back and forth, showing that the buildings, trees and roads have been rendered in three dimensions. View the Munich app for yourself Check out these amazing outside-of-the-box applications of LiDAR LiDAR Images Show Mayan Civilization in a New Light Image of Mayan ruins surrounded by forest, with blue sky above them. Reveal: Uncovering the Hidden World of Sinkholes Image of pavement with a sinkhole broken into the middle of it. Construction is ongoing to fill and repair the sinkhole. GIS data & resources |
|
Tags / Keywords
Keywords/tags categorizing the dataset.
|
|
|
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
|
|
|
Dataset Size
Dataset size in megabytes.
|
11689.65 |
|
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
|
|
|
Published Date
Published date of the dataset.
|
2020-12-11 |
|
Time Period Data Span (start date)
Start date of the data in the dataset.
|
|
|
Time Period Data Span (end date)
End date of time data in the dataset.
|
|
|
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
|
| Field | Value |
|---|---|
|
Access category
Type of access granted for the dataset (open, closed, service, etc).
|
public |
|
License
License used to access the dataset.
|
License not specified |
|
Limits on use
Limits on use of data.
|
|
|
Location
Location of the dataset.
|
https://map-calendar-esricanada.hub.arcgis.com/datasets/EsriCanada::november-2021 |
|
Data Service
Data service for accessing a dataset.
|
|
|
Owner
Owner of the dataset.
|
[email protected]_EsriCanada |
|
Contact Point
Who to contact regarding access?
|
Esri Canada |
|
Contact Point Email
The email to contact regarding access?
|
[email protected] |
|
Publisher
Publisher of the dataset.
|
Esri Canada |
|
Publisher Email
Email of the publisher.
|
|
|
Author
Author of the dataset.
|
[email protected]_EsriCanada |
|
Author Email
Email of the author.
|
|
|
Accessed At
Date the data and metadata was accessed.
|
2021-10-25 |
| Field | Value |
|---|---|
|
Identifier
Unique identifier for the dataset.
|
6a614f97d26340beb1be49f8bdc09ff9 |
|
Language
Language(s) of the dataset
|
English |
|
Link to dataset description
A URL to an external document describing the dataset.
|
https://map-calendar-esricanada.hub.arcgis.com/datasets/EsriCanada::november-2021 |
|
Persistent Identifier
Data is identified by a persistent identifier.
|
|
|
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
|
|
|
Contains data about individuals
Does the data hold data about individuals?
|
|
|
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
|
|
|
Contains Indigenous Data
Does the data hold data about Indigenous communities?
|
|
|
Portal Type
Platform type of the source portal.
|
| Field | Value |
|---|---|
|
Version
Version of the datatset
|
None |
|
Source
Source of the dataset.
|
None |
|
Version notes
Version notes about the dataset.
|
|
|
Is version of another dataset
Link to dataset that it is a version of.
|
|
|
Other versions
Link to datasets that are versions of it.
|
|
|
Provenance Text
Provenance Text of the data.
|
Esri Canada |
|
Provenance URL
Provenance URL of the data.
|
|
|
Temporal resolution
Describes how granular the date/time data in the dataset is.
|
|
|
GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
|
|
|
GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
|
| Field | Value |
|---|---|
|
Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
|
|
|
Community Permission
Community permission (who gave permission).
|
|
|
The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
|
| Field | Value |
|---|---|
|
Number of data rows
If tabular dataset, total number of rows.
|
|
|
Number of data columns
If tabular dataset, total number of unique columns.
|
|
|
Number of data cells
If tabular dataset, total number of cells with data.
|
|
|
Number of data relations
If RDF dataset, total number of triples.
|
|
|
Number of entities
If RDF dataset, total number of entities.
|
|
|
Number of data properties
If RDF dataset, total number of unique properties used by the triples.
|
|
|
Data quality
Describes the quality of the data in the dataset.
|
|
|
Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.
|
0 Comments