Case Details: Elaborate video explaining Airborne LiDAR Data Processing using Esri ArcGIS Pro.(Watch in 1080p). LiDAR (Light / Laser Imaging, Detection & Ranging) data can be generated from instruments attached to:
a) Airborne vehicles such as Aircraft & Drones,
b) Stationary Terrestrial Scanner installed at ground level or at a specific height, and
c) Mobile Terrestrial Scanners setup on a Vehicle

#lidar #mapping #gis

Three distinct LiDAR data processing workflows covered
extracting 3D Buildings Footprint
extracting Roof Forms (extension to Footprint workflow)
classifying Power Lines using Deep Learning framework

Datasets & Processing Workflow Credit: Esri Learn ArcGIS

Video is part of Mapmyops Geoblog's elaborate article 'From Point to Plot : LiDAR & Processing its Data' which can be accessed from https://www.mapmyops.com/lidardatap...

Intelloc Mapping Services | Mapmyops.com is engaged in providing mapping products & services to organizations which facilitate operations improvement, planning & monitoring workflows. These include, but are not limited to Supply Chain Consulting, Drone Services, Subsurface Mapping, GIS Applications, Satellite Imagery Analytics & Polluted Water Remediation. Projects can be conducted panIndia. Connect with us [email protected]

Video is narrated by Arpit Shah Founder and Partner Intelloc Mapping Services

Read our published content from Mapmyops' Geoblog https://www.mapmyops.com/geo'>https://www.mapmyops.com/geo

Watch Mapping Solutions Use Cases on my website's home page https://www.mapmyops.com or from this YouTube channel.

Music from #Uppbeat (free for Creators!):
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License code: URQYYS0SC2BS7X1B

Music from #Uppbeat (free for Creators!):
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TIMESTAMPS:

00:00 Headline
00:05 Case Details

00:19 Caselet 1 Extracting 3D Building Footprint from LiDAR Imagery Dataset
00:23 C1 Workflow 1 : Setting up & exploring the dataset
03:43 C1 Workflow 2 : Classifying the LiDAR Imagery Dataset
10:44 C1 Workflow 3: Extracting Buildings Footprint
14:12 C1 Workflow 4: Cleaning up the Buildings Footprint
17:25 C1 Workflow 5: Extracting 'Realistic' 3D Building Footprint

20:47 Caselet 2 Extracting Roof Forms from LiDAR Imagery Dataset
20:51 C2 Workflow 1 : Setting up the Data & Creating Elevation Layers
30:16 C2 Workflow 2 : Creating 3D Buildings Footprint
33:54 C2 Workflow 3 : Checking Accuracy of Building Footprints & Fixing Errors

42:06 Caselet 3 Classifying Power Lines using Deep Learning (DL) on LiDAR Imagery Dataset
42:10 C3 Workflow 1 : Setting up and Exploring the Dataset
46:23 C3 Workflow 2 : Training the DL Classification Model using a Sample Dataset
51:31 C3 Workflow 3 : Examining the Output of the SampleTrained DL Classification Model
53:27 C3 Workflow 4 : Training the DL Classification Model using a Large Dataset
58:12 C3 Workflow 5 : Extracting Power Lines from the LiDAR Point Cloud Output

59:46 Summary Note & Contact Us