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| Training Mode | Platform | Fee | Enroll |
|---|---|---|---|
| Online Training | Zoom/ Google Meet | 900USD | Register |
| Course Date | Location | Fee | Enroll |
|---|---|---|---|
| 28/09/2026 to 02/10/2026 | Nairobi | 1,500 USD | Register |
| 28/09/2026 to 02/10/2026 | Mombasa | 1,750 USD | Register |
| 28/09/2026 to 02/10/2026 | Dubai | 4,900 USD | Register |
| 26/10/2026 to 30/10/2026 | Nairobi | 1,500 USD | Register |
| 26/10/2026 to 30/10/2026 | Mombasa | 1,750 USD | Register |
| 23/11/2026 to 27/11/2026 | Nairobi | 1,500 USD | Register |
| 23/11/2026 to 27/11/2026 | Mombasa | 1,750 USD | Register |
| 23/11/2026 to 27/11/2026 | Kigali | 2,500 USD | Register |
| 28/12/2026 to 01/01/2027 | Nairobi | 1,500 USD | Register |
| 28/12/2026 to 01/01/2027 | Dubai | 4,900 USD | Register |
| 28/12/2026 to 01/01/2027 | Mombasa | 1,750 USD | Register |
| 25/01/2027 to 29/01/2027 | Nairobi | 1,500 USD | Register |
| 22/02/2027 to 26/02/2027 | Nairobi | 1,500 USD | Register |
| 22/03/2027 to 26/03/2027 | Nairobi | 1,500 USD | Register |
| 26/04/2027 to 30/04/2027 | Nairobi | 1,500 USD | Register |
Course Introduction
Drone technology has transformed modern surveying and construction monitoring by enabling project teams to collect detailed aerial information quickly, safely, and at lower operational cost than many conventional approaches. High-resolution imagery, video, positioning systems, and automated flight capabilities allow professionals to observe site conditions, measure progress, document assets, identify deviations, and support better project decisions throughout the construction lifecycle.
The Drone Surveying and Construction Site Monitoring Training Course provides a practical framework for using unmanned aerial systems to support surveying, mapping, inspection, documentation, progress monitoring, and construction management. Participants will explore mission planning, flight operations, image acquisition, photogrammetry, orthomosaic generation, 3D modelling, point clouds, topographic mapping, volumetric calculations, and construction reporting.
Effective drone surveying requires more than operating an aircraft and capturing photographs. Reliable results depend on appropriate mission design, ground control, positioning accuracy, camera settings, environmental assessment, image overlap, data processing, quality assurance, and appropriate interpretation of outputs. Participants will learn how to structure drone missions around specific project requirements and how to evaluate whether collected data is sufficiently accurate for its intended purpose.
Construction projects generate continuously changing site conditions, making frequent aerial monitoring valuable for project managers, engineers, surveyors, contractors, clients, and other stakeholders. The programme examines how drone data can support earthworks measurement, stockpile calculations, progress verification, site documentation, quality inspections, safety observations, infrastructure monitoring, and comparison between planned and actual construction conditions.
The course also addresses emerging technologies shaping aerial construction intelligence, including RTK and PPK positioning, automated flight planning, artificial intelligence-assisted image analysis, machine learning, digital twins, BIM integration, LiDAR-equipped drones, thermal imaging, multispectral sensors, cloud-based collaboration, and automated progress analytics. Participants will consider the opportunities and limitations of these technologies, including data accuracy, processing requirements, privacy, cybersecurity, weather constraints, and regulatory obligations.
By completing the Drone Surveying and Construction Site Monitoring Training Course, participants will be equipped to integrate drone-based data into professional construction workflows. They will gain practical capabilities for planning safe missions, capturing quality data, producing useful survey outputs, monitoring project progress, documenting site conditions, measuring quantities, identifying deviations, communicating findings, and applying emerging drone technologies to improve construction efficiency, transparency, safety, and decision-making.
5 days
Land surveyors and surveying technicians
Civil and construction engineers
Construction project managers
Site managers and construction supervisors
Quantity surveyors and cost management professionals
Geospatial and GIS professionals
Drone pilots supporting construction and surveying activities
Infrastructure inspection specialists
Building and civil works contractors
Project controls and progress monitoring professionals
Engineering consultants and technical advisors
Construction quality assurance and quality control officers
Health, safety, and environmental professionals involved in site monitoring
BIM and digital construction specialists
Senior professionals responsible for surveying, construction monitoring, infrastructure delivery, project controls, geospatial data, site management, and digital transformation
Develop practical capabilities for planning and conducting drone-based surveying missions that produce reliable aerial data for construction and engineering applications.
Apply appropriate drone mission planning principles covering site conditions, flight objectives, altitude, image overlap, positioning, environmental factors, and operational constraints.
Understand photogrammetric workflows for transforming drone imagery into orthomosaics, point clouds, digital surface models, terrain models, and three-dimensional project representations.
Apply ground control, RTK, PPK, and quality assurance techniques to improve positional accuracy and validate drone-derived surveying and mapping outputs.
Use drone data to monitor construction progress, compare actual site conditions against plans, document milestones, and identify deviations requiring management attention.
Perform practical measurements of construction quantities, stockpiles, excavation areas, earthworks, material volumes, distances, elevations, and other project-related spatial information.
Integrate drone-generated geospatial information with BIM, GIS, CAD, digital twins, project management systems, and other digital construction platforms for improved decision-making.
Apply drone-based inspection techniques to identify visible defects, safety concerns, construction quality issues, inaccessible areas, and infrastructure conditions while maintaining appropriate operational controls.
Evaluate emerging drone technologies including LiDAR, thermal imaging, multispectral sensors, artificial intelligence, automated analytics, cloud processing, and machine-assisted construction monitoring.
Establish professional drone data management, reporting, privacy, cybersecurity, regulatory compliance, and stakeholder communication practices that support responsible and effective construction monitoring.
Understanding the role of unmanned aerial systems in modern surveying, engineering, construction management, inspection, and project documentation.
Identifying construction applications including topographic surveys, progress monitoring, earthworks measurement, inspections, mapping, stockpile calculations, and site documentation.
Comparing drone-based surveying with conventional surveying approaches in terms of coverage, speed, accessibility, cost, frequency, accuracy, and operational requirements.
Establishing appropriate project objectives, data requirements, accuracy expectations, deliverables, workflows, and responsibilities before commencing drone surveying activities.
Examining multirotor and fixed-wing drone platforms and selecting appropriate configurations according to construction site size, terrain, endurance, access, and survey requirements.
Understanding RGB cameras, RTK and PPK systems, LiDAR sensors, thermal cameras, multispectral sensors, and other payloads used for construction data collection.
Evaluating sensor resolution, focal length, field of view, positioning capabilities, environmental limitations, storage requirements, and expected data quality.
Establishing equipment preparation and pre-flight procedures covering batteries, firmware, sensors, propellers, calibration, storage media, positioning systems, and operational readiness.
Developing flight plans based on site boundaries, survey objectives, terrain, obstacles, required resolution, image overlap, flight altitude, and expected data deliverables.
Conducting pre-flight risk assessments covering people, structures, power lines, cranes, vehicles, weather, restricted areas, electromagnetic interference, and other site hazards.
Applying safe take-off, flight, landing, emergency response, battery management, communication, and operational procedures during construction site drone missions.
Establishing mission documentation and operational checklists that support repeatable, auditable, safe, and compliant drone surveying activities across multiple project stages.
Understanding photogrammetric principles including image geometry, overlap, camera calibration, ground sampling distance, image quality, and three-dimensional reconstruction.
Designing image acquisition missions that provide sufficient forward and side overlap for accurate orthomosaics, surface models, point clouds, and three-dimensional outputs.
Applying appropriate camera settings, exposure controls, image formats, lighting considerations, and flight configurations for consistent construction survey data.
Identifying common aerial data acquisition problems involving motion blur, poor exposure, insufficient overlap, reflective surfaces, vegetation movement, shadows, and positioning errors.
Understanding the purpose of ground control points and checkpoints in validating the accuracy and reliability of drone-derived surveying and mapping products.
Applying RTK and PPK positioning technologies to improve drone location accuracy and reduce dependence on extensive conventional ground control where appropriate.
Planning control point distribution according to site geometry, terrain variation, project accuracy requirements, and photogrammetric processing needs.
Performing accuracy checks and quality assurance using checkpoints, coordinate comparisons, residual analysis, error thresholds, and documented survey validation procedures.
Processing aerial imagery to generate orthomosaics, digital surface models, digital terrain models, point clouds, contours, textured meshes, and three-dimensional site representations.
Understanding processing workflows involving image alignment, feature matching, camera optimization, dense reconstruction, georeferencing, surface generation, and output validation.
Identifying processing errors caused by insufficient image overlap, poor control, unsuitable imagery, vegetation movement, reflective surfaces, or incorrect project settings.
Establishing standardized processing and file management procedures that ensure consistent outputs, traceability, reproducibility, and efficient project data handling.
Using repeated drone surveys to document construction progress, compare site conditions across dates, and communicate project development through accurate visual and spatial evidence.
Comparing drone-derived site models with engineering drawings, BIM models, schedules, planned elevations, design surfaces, and project milestones to identify discrepancies.
Developing progress reporting workflows using annotated imagery, orthomosaics, three-dimensional views, measurements, time-series comparisons, and automated change detection.
Applying drone monitoring to support contractor oversight, project controls, payment verification, stakeholder reporting, dispute documentation, and evidence-based construction management.
Calculating excavation, embankment, stockpile, aggregate, soil, waste, and material volumes using drone-derived surface models and appropriate measurement methodologies.
Applying cut-and-fill analysis to compare existing terrain with design surfaces and support earthworks planning, cost control, resource management, and progress assessment.
Conducting aerial inspections of roofs, structures, facades, bridges, towers, equipment, inaccessible areas, and construction components while minimizing unnecessary exposure to hazards.
Documenting visible defects, construction deviations, material conditions, drainage issues, site access conditions, and other observations using georeferenced aerial evidence.
Integrating drone-generated orthomosaics, point clouds, terrain models, and three-dimensional outputs with BIM, CAD, GIS, and construction information systems.
Using drone data to update digital representations of construction sites and support digital twin development, asset records, spatial coordination, and project information management.
Establishing workflows for aligning aerial survey information with design models, engineering coordinates, project baselines, and existing geospatial datasets.
Managing interoperability, file formats, coordinate systems, metadata, version control, cloud collaboration, data storage, and access requirements across project teams.
Exploring LiDAR drones, thermal imaging, multispectral sensors, AI-assisted defect detection, automated progress tracking, machine learning, and advanced aerial analytics.
Examining automated and semi-autonomous construction monitoring workflows that can detect changes, classify site features, identify anomalies, and generate management alerts.
Addressing privacy, cybersecurity, data protection, airspace requirements, operational permissions, insurance, stakeholder communication, and other regulatory considerations affecting drone use.
Developing future-ready drone surveying strategies that combine advanced sensors, cloud processing, digital twins, AI analytics, automated reporting, and integrated construction intelligence.
Training Approach
This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.
Tailor-Made Course
This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808
Training Venue
The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.
Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant
Certification
Participants will be issued with Upskill certificate upon completion of this course.
Airport Pickup and Accommodation
Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808
Terms of Payment:
Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.
| Training Mode | Platform | Fee | Enroll |
|---|---|---|---|
| Online Training | Zoom/ Google Meet | 900USD | Register |
| Course Date | Location | Fee | Enroll |
|---|---|---|---|
| 28/09/2026 to 02/10/2026 | Nairobi | 1,500 USD | Register |
| 28/09/2026 to 02/10/2026 | Mombasa | 1,750 USD | Register |
| 28/09/2026 to 02/10/2026 | Dubai | 4,900 USD | Register |
| 26/10/2026 to 30/10/2026 | Nairobi | 1,500 USD | Register |
| 26/10/2026 to 30/10/2026 | Mombasa | 1,750 USD | Register |
| 23/11/2026 to 27/11/2026 | Nairobi | 1,500 USD | Register |
| 23/11/2026 to 27/11/2026 | Mombasa | 1,750 USD | Register |
| 23/11/2026 to 27/11/2026 | Kigali | 2,500 USD | Register |
| 28/12/2026 to 01/01/2027 | Nairobi | 1,500 USD | Register |
| 28/12/2026 to 01/01/2027 | Dubai | 4,900 USD | Register |
| 28/12/2026 to 01/01/2027 | Mombasa | 1,750 USD | Register |
| 25/01/2027 to 29/01/2027 | Nairobi | 1,500 USD | Register |
| 22/02/2027 to 26/02/2027 | Nairobi | 1,500 USD | Register |
| 22/03/2027 to 26/03/2027 | Nairobi | 1,500 USD | Register |
| 26/04/2027 to 30/04/2027 | Nairobi | 1,500 USD | Register |
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