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Cloud-based Drone Data Processing & Analytics Training Course in Jordan

Introduction

The proliferation of drones (Unmanned Aerial Systems - UAS) has transformed data collection across diverse industries, from high-precision mapping and infrastructure inspection to agricultural monitoring and construction progress tracking. However, the sheer volume, velocity, and variety of data captured by modern drone sensors (RGB, thermal, multispectral, LiDAR) present significant challenges for traditional desktop-based processing. This is where cloud-based drone data processing and analytics become indispensable. Leveraging the scalable computing power, vast storage, and collaborative features of the cloud enables organizations to process massive datasets rapidly, perform advanced analytics, share insights seamlessly, and make data-driven decisions faster and more efficiently. Cloud platforms democratize access to powerful processing capabilities, eliminating the need for expensive local hardware and specialized IT infrastructure, thereby accelerating workflows and maximizing the value extracted from aerial data. This essential training course focuses on Cloud-Based Drone Data Processing & Analytics, empowering professionals to harness the full potential of their drone data through cutting-edge cloud technologies.

This intensive training course provides a comprehensive and practical guide to leveraging cloud platforms for efficient drone data processing and insightful analytics. Participants will gain in-depth knowledge of uploading, managing, and processing various drone datasets in the cloud, including photogrammetry (orthomosaics, 3D models), LiDAR point clouds, and multispectral imagery. We will explore advanced cloud-based analytics tools for measurements, volumetric calculations, change detection, and AI-driven insights. By mastering the workflows, best practices, and capabilities of cloud-based drone data platforms, you will be equipped to streamline your data processing, enhance collaboration, extract actionable intelligence, and drive innovation in your drone operations.

Target Audience

  • Professional Drone Operators & Pilots
  • GIS & Remote Sensing Specialists
  • Surveyors & Mappers
  • Construction & Earthworks Professionals
  • Agriculturalists & Agronomists
  • Environmental Scientists
  • Data Analysts & Scientists
  • Project Managers Utilizing Drone Data

Course Objectives

  • Understand the benefits and challenges of cloud-based drone data processing compared to desktop solutions.
  • Learn to select appropriate cloud platforms and software for various drone data types.
  • Master the process of uploading, managing, and organizing large drone datasets in the cloud.
  • Develop proficiency in processing photogrammetry data (2D orthomosaics, 3D models, DSMs) in cloud environments.
  • Gain expertise in processing LiDAR point cloud data for accurate 3D representations in the cloud.
  • Understand and apply cloud-based analytics tools for measurements, volumetric calculations, and change detection.
  • Explore the use of AI and machine learning in cloud analytics for automated feature extraction and insights.
  • Learn best practices for data quality control and validation in a cloud processing workflow.
  • Develop skills in sharing and collaborating on drone data and analytical results using cloud platforms.
  • Understand data security, privacy, and compliance considerations for drone data in the cloud.
  • Design an end-to-end cloud-based workflow for a specific drone data analysis project.

DURATION

10 Days

COURSE CONTENT

Module 1: Introduction to Cloud Computing for Drone Data

  • The data deluge from modern drones and the need for scalable solutions.
  • Defining cloud computing: IaaS, PaaS, SaaS models for drone data.
  • Benefits of cloud processing: scalability, accessibility, collaboration, cost efficiency.
  • Challenges of cloud processing: internet connectivity, data transfer times, security concerns.
  • Overview of leading cloud platforms and software for drone data (e.g., Pix4D Cloud, Propeller Aero, ArcGIS Site Scan).

Module 2: Drone Data Types & Cloud Compatibility

  • Review of common drone data formats: JPEG, TIFF, LAS, LAZ.
  • Understanding RGB imagery, thermal, multispectral, and LiDAR data characteristics.
  • Data volume considerations for different sensor types.
  • Pre-processing steps for raw drone data before cloud upload.
  • Matching data types to appropriate cloud processing capabilities.

Module 3: Cloud Data Ingestion & Management

  • Efficient data upload strategies: direct upload, external drives, APIs.
  • Organizing drone projects and datasets in cloud storage.
  • Metadata management for discoverability and context.
  • Versioning and backup strategies for drone data in the cloud.
  • Access control and user permissions for collaborative projects.

Module 4: Cloud Photogrammetry Processing (2D)

  • Principles of photogrammetry for 2D orthomosaics.
  • Automated cloud processing pipelines for generating accurate orthomosaics.
  • Georeferencing and coordinate system considerations in the cloud.
  • Quality control for 2D outputs: image sharpness, stitch lines, color balance.
  • Exporting 2D maps for use in GIS or CAD software.

Module 5: Cloud Photogrammetry Processing (3D)

  • Generating 3D point clouds and 3D mesh models from drone imagery in the cloud.
  • Creating Digital Surface Models (DSMs) and Digital Terrain Models (DTMs).
  • Density and accuracy settings for 3D reconstruction in cloud software.
  • Visualization and navigation of 3D models within cloud platforms.
  • Applications of 3D outputs: urban planning, asset management, virtual tours.

Module 6: Cloud LiDAR Point Cloud Processing

  • Introduction to LiDAR data characteristics and acquisition methods.
  • Processing raw LiDAR data in the cloud for dense point clouds.
  • Point cloud classification (ground, buildings, vegetation) using cloud tools.
  • Generating bare-earth DTMs from classified LiDAR data.
  • Analyzing point clouds for precise measurements and feature extraction.

Module 7: Cloud-Based Measurement & Volumetric Analysis

  • Performing accurate distance, area, and perimeter measurements directly on cloud maps/models.
  • Volumetric calculations for stockpiles, excavations, and earthworks in the cloud.
  • Cut-and-fill analysis for construction progress monitoring.
  • Annotation and reporting tools within cloud platforms for measurements.
  • Integration with design files for comparison and verification.

Module 8: Change Detection & Progress Monitoring in the Cloud

  • Time-series analysis of drone data for progress tracking.
  • Automated change detection algorithms to identify new features or deviations.
  • Visualizing changes over time using comparison tools in the cloud.
  • Reporting on project milestones and progress with drone data.
  • Applications in construction, mining, and environmental monitoring.

Module 9: AI & Machine Learning for Cloud Analytics

  • Automated feature extraction (e.g., power lines, solar panels, trees) using AI.
  • Object detection and classification in drone imagery for inventory and asset management.
  • Predictive analytics for crop health, equipment failure, or environmental changes.
  • Machine learning models for anomaly detection in large datasets.
  • The role of AI in generating actionable insights from raw drone data.

Module 10: Data Quality Control & Validation

  • Assessing the accuracy and precision of cloud-processed drone data.
  • Ground Control Points (GCPs) and their role in improving accuracy.
  • Error checking and outlier detection in processed outputs.
  • Validation against independent data sources.
  • Understanding limitations and sources of error in drone data.

Module 11: Collaboration & Sharing Cloud Data

  • Seamless sharing of processed maps, models, and analytics with stakeholders.
  • Granting different access levels for viewing, annotating, or editing.
  • Cloud-based communication and annotation tools for team collaboration.
  • Exporting data in various formats for external use.
  • Creating custom dashboards and reports from cloud analytics.

Module 12: Data Security, Privacy & Compliance in the Cloud

  • Cloud security best practices: encryption, access management, network security.
  • Data residency and compliance with regional data protection regulations (GDPR, CCPA).
  • Privacy considerations for sensitive data collected by drones and stored in the cloud.
  • Vendor security assessments for cloud service providers.
  • Incident response planning for cloud-based drone data.

Module 13: Advanced Analytics & Custom Workflows

  • Integrating cloud drone data with GIS platforms for deeper spatial analysis.
  • Developing custom scripts and APIs for tailored analytics.
  • Building automated workflows for recurring drone missions and data processing.
  • Big data concepts applied to very large drone datasets.
  • Exploring emerging trends in cloud computing for drones: edge processing, real-time analytics.

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: info@skillsforafrica.orgtraining@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute 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: info@skillsforafrica.orgtraining@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 10 working days before commencement of the training.

Course Schedule
Dates Fees Location Apply
14/07/2025 - 25/07/2025 $3500 Nairobi, Kenya
14/07/2025 - 25/07/2025 $3500 Nairobi, Kenya
04/08/2025 - 15/08/2025 $3500 Nairobi, Kenya
11/08/2025 - 22/08/2025 $3500 Nairobi, Kenya
18/08/2025 - 29/08/2025 $3500 Nairobi, Kenya
01/09/2025 - 12/09/2025 $3500 Nairobi, Kenya
08/09/2025 - 19/09/2025 $3500 Nairobi, Kenya
15/09/2025 - 26/09/2025 $3500 Nairobi, Kenya
06/10/2025 - 17/10/2025 $3500 Nairobi, Kenya
13/10/2025 - 24/10/2025 $3500 Nairobi, Kenya
20/10/2025 - 31/10/2025 $3500 Nairobi, Kenya
03/11/2025 - 14/11/2025 $3500 Nairobi, Kenya
10/11/2025 - 21/11/2025 $3500 Nairobi, Kenya
17/11/2025 - 28/11/2025 $3500 Nairobi, Kenya
01/12/2025 - 12/12/2025 $3500 Nairobi, Kenya
08/12/2025 - 19/12/2025 $3500 Nairobi, Kenya
05/01/2026 - 16/01/2026 $3500 Nairobi, Kenya
12/01/2026 - 23/01/2026 $3500 Nairobi, Kenya
19/01/2026 - 30/01/2026 $3500 Nairobi, Kenya
02/02/2026 - 13/02/2026 $3500 Nairobi, Kenya
09/02/2026 - 20/02/2026 $3500 Nairobi, Kenya
16/02/2026 - 27/02/2026 $3500 Nairobi, Kenya
02/03/2026 - 13/03/2026 $3500 Nairobi, Kenya
09/03/2026 - 20/03/2026 $3500 Nairobi, Kenya
16/03/2026 - 27/03/2026 $3500 Nairobi, Kenya
06/04/2026 - 17/04/2026 $3500 Nairobi, Kenya
13/04/2026 - 24/04/2026 $3500 Nairobi, Kenya
13/04/2026 - 24/04/2026 $3500 Nairobi, Kenya
04/05/2026 - 15/05/2026 $3500 Nairobi, Kenya
11/05/2026 - 22/05/2026 $3500 Nairobi, Kenya
18/05/2026 - 29/05/2026 $3500 Nairobi, Kenya