Aerial Mapping for Infrastructure Projects: Practical UAV, LiDAR, and Orthomosaic Workflows for Engineers, Surveyors, and Project Managers

Author:   James R Callahan
Publisher:   Independently Published
ISBN:  

9798199058728


Pages:   240
Publication Date:   28 May 2026
Format:   Paperback
Availability:   Available To Order   Availability explained
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Aerial Mapping for Infrastructure Projects: Practical UAV, LiDAR, and Orthomosaic Workflows for Engineers, Surveyors, and Project Managers


Overview

Aerial Mapping for Infrastructure Projects Practical UAV, LiDAR, and Orthomosaic Workflows for Engineers, Surveyors, and Project Managers Published independently by James R. Callahan Infrastructure projects are moving faster, becoming more data-driven, and demanding better decision-making than ever before. Yet many teams still struggle with inconsistent aerial mapping workflows, unreliable deliverables, confusing software pipelines, poor QA/QC practices, and costly field mistakes that delay projects and reduce confidence in the data. Aerial Mapping for Infrastructure Projects was written to solve those problems. Whether you are working on roads, bridges, rail corridors, construction sites, utilities, drainage systems, land development, inspections, or earthworks, this practical guide shows you how to plan, capture, process, validate, and deliver professional aerial mapping results using UAVs, LiDAR, photogrammetry, orthomosaics, DEMs, DSMs, DTMs, GIS, CAD, and BIM workflows. This is not a theory-heavy academic textbook. It is a real-world workflow manual designed to help engineers, surveyors, UAV operators, GIS professionals, construction teams, and project managers produce reliable, repeatable, and actionable mapping deliverables with greater confidence. Inside this book, you will learn how to: Select the right UAV platforms and sensors for different infrastructure projects Plan mapping missions for accuracy, efficiency, and safety Use RTK/PPK workflows and ground control effectively Capture high-quality aerial imagery and LiDAR data Process orthomosaics, point clouds, DEMs, DSMs, and DTMs Validate accuracy using checkpoints, RMSE analysis, and QA/QC procedures Integrate deliverables into GIS, CAD, and BIM environments Manage construction monitoring and progress tracking workflows Perform infrastructure inspections and condition assessments Reduce common field and processing mistakes before they become expensive problems Build scalable workflows for repeat infrastructure projects Understand future trends including AI, cloud processing, automation, and digital twins You will also discover practical guidance for: Road and highway mapping Bridge inspection workflows Rail and utility corridor projects Floodplain and drainage analysis Earthwork volume calculations Stakeholder reporting Client deliverables Project documentation Data management and version control Unlike generic drone books that focus only on flying, this guide focuses on complete infrastructure mapping workflows from project planning to final delivery. Every chapter includes: Professional workflow explanations Real operational guidance Practical field observations QA/QC recommendations Key takeaways Practical exercises Repeatable best practices for real-world project environments If you want to improve mapping accuracy, avoid costly rework, strengthen deliverable quality, and build aerial mapping systems that infrastructure teams can trust, this book provides the practical framework to help you do it professionally and consistently.

Full Product Details

Author:   James R Callahan
Publisher:   Independently Published
Imprint:   Independently Published
Dimensions:   Width: 21.60cm , Height: 1.30cm , Length: 27.90cm
Weight:   0.567kg
ISBN:  

9798199058728


Pages:   240
Publication Date:   28 May 2026
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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