Top 20 Essential Skills for Lidar

Christopher P. Caird (Autor)

Buch | Softcover

250 Seiten

2025
ESRI Press (Verlag)
978-1-58948-786-4 (ISBN)

Noch nicht erschienen (ca. August 2025)
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With 20 step-by-step tutorials, Top 20 Essential Skills for Lidar helps you understand, manage, analyze, and create immersive 3D products using lidar data.

Through 20 step-by-step tutorials, gain the knowledge to understand, manage, analyze, and create immersive 3D products using lidar data.

Throughout Top 20 Essential Skills for Lidar, you'll discover a range of essential lidar skills and best practices for preparing and storing data, sharing methods, and rendering techniques. Each chapter presents a bite-sized, standalone tutorial with easy-to-follow steps, accompanied by tips and considerations that enhance your understanding of the underlying concepts.

Using 20 step-by-step tutorials you will explore how to:

Assess lidar data properties and correct common errors
Visualize lidar data and convert between data types
Create final data products and maps
Classify lidar data
Assess point spacing and density
Use constraints
Apply manual and automated classification
Calculate volume and other measurements
Create 3D surfaces such as digital terrain models and digital surface models
Extract features such as trees and buildings
Create viewsheds
Perform shadow analysis
Apply raster functions
Leverage deep learning

Whether you're new to lidar or looking to expand your skills, Top 20 Essential Skills for Lidar provides a practical and accessible resource for exploring lidar data sources, working in 3D, and creating data-driven outputs.

Christopher P. Caird is a Esri Advantage Program Advisor and Technical Consultant in Esri’s Professional Services division. He works on Enterprise GIS, imagery, oriented imagery, and provides lidar expertise for the transportation industry from the Denver, Colorado Regional Office.

Introduction
to
Lidar

Understanding
Lidar

Visualizing Lidar data in ArcGIS Pro

Managing Lidar in
ArcGIS Pro

Assessing Lidar quality

Data optimization

Classification processes of Lidar using ArcGIS Pro

Using pre-trained
models for point classification

Training a model for
point classification

Creating surfaces

Creating contours

Introduction to ArcGIS Pro analysis tools

Extracting objects from Lidar

Extract objects using deep learning

Other Lidar analysis
workflows

Share Lidar point
cloud data to a portal

Using Lidar data in web scenes

Share surfaces

Using indoor Lidar

Data resources and use cases

Erscheint lt. Verlag	21.8.2025
Zusatzinfo	Illustrations
Verlagsort	Redlands
Sprache	englisch
Maße	190 x 234 mm
Themenwelt	Schulbuch / Wörterbuch ► Unterrichtsvorbereitung ► Unterrichts-Handreichungen
	Mathematik / Informatik ► Informatik ► Datenbanken
	Informatik ► Software Entwicklung ► User Interfaces (HCI)
	Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie
	Sozialwissenschaften ► Pädagogik
ISBN-10	1-58948-786-9 / 1589487869
ISBN-13	978-1-58948-786-4 / 9781589487864
Zustand	Neuware