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Seeing from Above: Remote Sensing and Photogrammetry

11 – 15 May 2026, Abu Dhabi07 – 11 Sep. 2026, Abu Dhabi

COURSE OVERVIEW:

Remote sensing and photogrammetry have revolutionized the way geoscientists and engineers perceive and analyze the Earth's surface. This course provides a comprehensive exploration of the technologies used to acquire information about objects or areas from a distance, typically from aircraft or satellites. By utilizing the electromagnetic spectrum, participants will learn how to identify patterns, monitor environmental changes, and map terrain with high precision without direct physical contact.

 

The scope of the curriculum covers the fundamental physics of light and radiation, sensor mechanics, and the platforms used for data collection, including Unmanned Aerial Vehicles (UAVs). It dives into the transformation of raw imagery into meaningful geospatial products through advanced digital image processing and photogrammetric triangulation. The course emphasizes the transition from 2D imagery to 3D spatial models, providing a vital bridge between qualitative observation and quantitative measurement.

 

Coverage includes the practical applications of these technologies in mineral exploration, urban planning, environmental monitoring, and disaster management. Students will engage with multi-spectral and hyper-spectral data to understand vegetation indices, lithological mapping, and shoreline changes. By the end of the program, participants will be equipped to select the appropriate sensors and processing workflows to solve complex spatial problems across various industries.

 

COURSE OBJECTIVES:

After completion of this course, the participants will be able to:

  • Explain the physical principles of electromagnetic radiation and its interaction with the atmosphere.
  • Differentiate between active and passive remote sensing systems and their specific uses.
  • Evaluate the resolutions of satellite imagery including spatial, spectral, temporal, and radiometric.
  • Apply photogrammetric principles to derive accurate measurements from aerial photographs.
  • Perform digital image enhancement techniques to improve visual interpretation.
  • Execute supervised and unsupervised classification methods for land cover mapping.
  • Generate Digital Elevation Models (DEMs) and orthomosaics from overlapping aerial images.
  • Utilize Unmanned Aerial Vehicles (UAVs) for high-resolution local site investigations.
  • Analyze multi-temporal data sets to detect and quantify environmental changes over time.
  • Interpret thermal infrared imagery for heat mapping and geological reconnaissance.
  • Integrate remote sensing products into Geographic Information Systems (GIS) for spatial analysis.
  • Assess the accuracy of photogrammetric products using ground control points.
  • Select the most cost-effective remote sensing data source for specific project requirements.

 

TARGET AUDIENCE:

This course is intended for geologists, environmental scientists, civil engineers, GIS specialists, and urban planners who require a technical foundation in aerial data acquisition and analysis.

 

TRAINING COURSE METHODOLOGY:

A highly interactive combination of lectures, discussion sessions, and case studies will be employed to maximise the transfer of information, knowledge, and experience. The course will be intensive, practical, and highly interactive. The sessions will start by raising the most relevant questions and motivating everybody to find the right answers. The attendants will also be encouraged to raise more of their questions and to share in developing the right answers using their analysis and experience. There will also be some indoor experiential activities to enhance the learning experience. Course material will be provided in PowerPoint, with necessary animations, learning videos, and general discussions.

 

The course participants shall be evaluated before, during, and at the end of the course.

 

COURSE CERTIFICATE:

National Consultant Centre for Training LLC (NCC) will issue an Attendance Certificate to all participants completing a minimum of 80% of the total attendance time requirement.

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