Diploma in Photogrammetry and Remote Sensing

Why this certificate program?

The Diploma in Photogrammetry and Remote Sensing

This program provides you with the tools and expert knowledge to master the processing of aerial and satellite images, from acquisition to the generation of high-precision 3D models and orthomosaics. Prepare yourself to lead projects in areas such as mapping, precision agriculture, natural resource management, and construction. This program equips you with the latest technologies and methodologies to extract valuable information from the landscape.

Differential Advantages

  • Specialized Software: Master the use of industry-leading software for photogrammetric processing and geospatial data analysis.
  • Complete Workflows: Learn to plan, execute, and process photogrammetric projects from data acquisition to the delivery of final results.
  • Sensors and Platforms: Understand the characteristics and applications of different types of remote sensors (RGB, multispectral, hyperspectral, LiDAR) and platforms (drones, aircraft, satellites).
  • Practical Applications: Develop skills to solve real-world problems in various sectors, such as topographic mapping, environmental monitoring, and infrastructure management.
  • Expert Instructors: Learn from professionals with extensive experience in the field of photogrammetry and remote sensing.
Fotogrametría

Diploma in Photogrammetry and Remote Sensing

Availability: 1 in stock

Who is it aimed at?

  • Geomatics, surveying, and civil engineering professionals seeking to master 3D surveying and modeling techniques using drones and laser scanners.
  • Land and environmental management specialists interested in applying remote sensing technologies for land analysis, change detection, and natural resource management.
  • Students and recent graduates in related fields who wish to acquire practical skills and theoretical knowledge in photogrammetry and remote sensing.
  • Researchers and academics requiring advanced tools for research in areas such as archaeology, precision agriculture, and natural disaster monitoring.
  • Geospatial consulting and services firms seeking to expand their offerings of Services with cutting-edge technologies in the field of photogrammetry and remote sensing.

    Learning flexibility

    Designed for professionals and students: online format with live and recorded classes, 24/7 access to a virtual platform, and personalized support.

Fotogrametría

Objectives and competencies

Generate accurate 3D models from geospatial data:

“Use specialized software (e.g., Pix4D, Agisoft Metashape) to process LiDAR point clouds and orthomosaics, optimizing geometric accuracy through ground control points (GCPs) and bundle adjustments.”

Interpreting and analyzing images obtained with drones and satellites:

Identify relevant objects, patterns, and anomalies using digital processing techniques and GIS tools, assessing image quality and applying geometric and radiometric corrections.

Apply digital image processing techniques to extract relevant information:

“Implement filters, segmentation, and feature analysis to identify objects, patterns, or anomalies of interest in images, evaluating the accuracy and optimization of the algorithms.”

Integrate photogrammetric and remote sensing data into geographic information systems (GIS):

“Develop workflows for combining point clouds, orthomosaics, and raster data with vector information in a GIS, ensuring geometric accuracy and thematic consistency.”

Evaluate the accuracy and quality of the generated photogrammetric products:

“Through statistical analysis of control points and comparison with independent reference data.”

Develop terrain mapping and modeling projects using photogrammetry and remote sensing:

“Generate accurate 3D models and orthomosaics, processing drone/satellite data with specialized software, validating accuracy through ground control points (GCPs) and adjusting parameters to optimize the quality of the result.”

Curriculum - Modules

  1. Comprehensive Maritime Incident Management: protocols, roles, and chain of command for coordinated response
  2. Operational Planning and Execution: briefing, routes, weather windows, and go/no-go criteria
  3. Rapid Risk Assessment: criticality matrix, scene control, and decision-making under pressure
  4. Operational Communication: VHF/GMDSS, standardized reports, and inter-agency liaison
  5. Tactical Mobility and Safe Boarding: RHIB maneuvers, approach, mooring, and recovery
  6. Equipment and Technologies: PPE, signaling, satellite tracking, and field data logging
  7. Immediate Care of the Affected: primary assessment, hypothermia, trauma, and stabilization for evacuation
  8. Adverse Environmental Conditions: swell, Visibility, flows, and operational mitigation

    Simulation and training: critical scenarios, use of VR/AR, and exercises with performance metrics

    Documentation and continuous improvement: lessons learned, indicators (MTTA/MTTR), and SOP updates

  1. Introduction to 3D Modeling: Basic Concepts, Software, and Hardware
  2. Data Acquisition with Drones: Flight Planning, Capture Parameters, and Safety
  3. Aerial Image Processing: Orthorectification, Georeferencing, and Calibration
  4. Generating orthophotos: Resolution, Accuracy, and Quality Control
  5. Creating Dense Point Clouds: Algorithms, Optimization, and Filtering
  6. 3D Modeling from Point Clouds: Meshes, Textures, and Editing
  7. Analysis and Visualization of 3D Models: Measurement, Profiles, and Rendering
  8. Integrating orthophotos and 3D Models into GIS: Spatial Analysis and Data Management
  9. Advanced Applications: Inspection, Volumetric Analysis, and Simulation
  10. Workflow Optimization and Best Practices in 3D Data Processing

  1. Introduction to Geospatial Information: Definitions, Types, and Data Sources.
  2. Coordinate Systems and Projections: Datum, Reference Systems, Coordinate Transformation.
  3. GIS and Remote Sensing Software: Introduction to Common Platforms (QGIS, ArcGIS, Google Earth Engine).
  4. Geospatial Data Acquisition: GPS/GNSS, Topographic Surveys, Terrestrial Laser Scanning (TLS).
  5. Remote Sensing: Physical Principles, Remote Sensors, Satellite and Aerial Platforms.
  6. Remote Sensing Image Preprocessing: Geometric and Radiometric Corrections, Enhancements.
  7. Image Classification: Supervised, Unsupervised, and Object-Oriented Image Analysis (OBIA).
  8. Basic spatial analysis: Vector operations (buffer, intersection, union), raster analysis (map algebra).
  9. Digital elevation models (DEMs): Creation, editing, and analysis (slope, aspect, contour lines).
  10. Geospatial data visualization: Thematic mapping, effective map design, web mapping platforms.

  1. Introduction to 3D Modeling: Basic Concepts, Software, and Formats
  2. Fundamentals of Geodesy: Coordinate Systems, Datums, and Map Projections
  3. Geospatial Data Acquisition: GPS, Drones, Laser Scanners, and Remote Sensing
  4. 3D Modeling with Specialized Software: Creating Terrain, Building, and Object Models
  5. Vector Spatial Analysis: Overlay, Proximity, Buffering, and Spatial Queries
  6. Raster Spatial Analysis: Map Algebra, Reclassification, and Neighborhood Analysis
  7. 3D Visualization and Digital Cartography: Creating Thematic Maps and Interactive Visualizations
  8. Geospatial Modeling for Natural Resource Management: Applications in Agriculture, Forestry, and Mining
  9. Analysis Geospatial analysis for urban and regional planning: environmental impact studies and risk management

    Integration of 3D models and geospatial analysis in geographic information systems (GIS)

  1. Introduction to Photogrammetry: History, Basic Principles, and Applications
  2. Fundamentals of Digital Imaging: Resolution, Color, Formats, and Metadata
  3. Photogrammetric Equipment: Cameras, Lenses, Drones, and Positioning Systems
  4. Photogrammetric Flight Planning: Mission Design, Overlap, and Control Points
  5. Data Acquisition: Image Capture Techniques and Equipment Handling
  6. Initial Processing: Image Orientation, Calibration, and Geometric Correction
  7. Point Cloud Generation: Matching Algorithms and 3D Reconstruction
  8. Textured Mesh and 3D Modeling: Surface Creation, Texturing, and Editing
  9. Analysis and Visualization: Measurement, Orthomosaic Generation, and Exporting
  10. Data
  11. Case Studies and Advanced Applications: Heritage Modeling, Precision Agriculture, and Mapping

  1. System Architecture and Components: Structural design, materials, and subsystems (mechanical, electrical, electronic, and fluid) with selection and assembly criteria for marine environments
  2. Fundamentals and Principles of Operation: Physical and engineering foundations (thermodynamics, fluid mechanics, electricity, control, and materials) that explain performance and operating limits
  3. Safety and Environmental (SHE): Risk analysis, PPE, LOTO, hazardous atmospheres, spill and waste management, and emergency response plans
  4. Applicable Regulations and Standards: IMO/ISO/IEC requirements and local regulations;
  5. Conformance criteria, certification, and best practices for operation and maintenance
  6. Inspection, testing, and diagnostics: Visual/dimensional inspection, functional testing, data analysis, and predictive techniques (vibration, thermography, fluid analysis) to identify root causes
  7. Preventive and predictive maintenance: Hourly/cycle/seasonal plans, lubrication, adjustments, calibrations, consumable replacement, post-service verification, and operational reliability
  8. Instrumentation, tools, and metrology: Measuring and testing equipment, diagnostic software, calibration and traceability; selection criteria, safe use, and storage
  9. Onboard integration and interfaces: Mechanical, electrical, fluid, and data compatibility; Sealing and watertightness, EMC/EMI, corrosion protection, and interoperability testing.

    Quality, acceptance testing, and commissioning: process and materials control, FAT/SAT, bench and sea trials, go/no-go criteria, and evidence documentation.

    Technical documentation and integrated practice: logs, checklists, reports, and a complete case study (safety → diagnosis → intervention → verification → report) applicable to any system.

  1. Introduction to 3D Modeling: Basic Concepts, Software, and Formats
  2. Data Acquisition with Drones: Flight Planning, Sensors, and Calibration
  3. Point Cloud Processing: Registration, Filtering, and Classification
  4. Generating 3D Meshes: Texturing and Optimization
  5. Orthoimages: Georeferencing, Orthorectification, and Mosaics
  6. 3D Modeling Software: Blender, MeshLab, CloudCompare
  7. Photogrammetry Software: Agisoft Metashape, RealityCapture, Pix4Dmapper
  8. Analysis of the Accuracy and Quality of Models and Orthoimages
  9. Applications of 3D Modeling, Point Clouds, and Orthoimages: Topography, Archaeology, Construction
  10. Complete Workflow: From Capture to Final Product Delivery

Career opportunities

  • Photogrammetry Technician: Creation of 3D models from aerial or terrestrial photographs.
  • Remote Sensing Specialist: Analysis of data captured by satellites, drones, or aircraft.
  • Geospatial Analyst: Integration of photogrammetric and remote sensing data into Geographic Information Systems (GIS).
  • Geomatics Consultant: Advising on surveying, mapping, and land management projects.
  • Remote Sensing Researcher: Development of new techniques and applications of photogrammetry and remote sensing.
  • Natural Resource Management Technician: Monitoring of vegetation, water, and soil using aerial or satellite imagery.
  • Precision Agriculture Specialist: Application of photogrammetric and remote sensing techniques to optimize crop yields.
  • Archaeological Technician: Use of photogrammetry for the documentation and study of archaeological sites.
  • Surveyor: Topographic surveys, stakeouts, and construction supervision.

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Admission requirements

Academic/professional profile:

Degree/Bachelor's degree in Nautical Science/Maritime Transport, Naval/Marine Engineering, or a related field; or proven professional experience in bridge/operations.

Language proficiency:

Recommended functional maritime English (SMCP) for simulations and technical materials.

Documentation:

Updated resume, copy of degree or seaman's book, ID card/passport, letter of motivation.

Technical requirements (for online):

Equipment with camera/microphone, stable connection, ≥ 24” monitor recommended for ECDIS/Radar-ARPA.

Admission process and dates

1. Online
application

(form + documents).

2. Academic review and interview

(profile/objectives/schedule compatibility).

3. Admission decision

(+ scholarship proposal if applicable).

4. Reservation of place

(deposit) and registration.

5. Induction

(access to campus, calendars, simulator guides).

Scholarships and grants

  • Master Photogrammetry: Learn to generate accurate 3D models from aerial and terrestrial imagery.
  • Explore Remote Sensing: Discover LiDAR, hyperspectral, and radar technologies for capturing and analyzing geospatial data.
  • Specialized Software: Master industry-leading tools such as Agisoft Metashape, Pix4Dmapper, and ENVI.
  • Practical Applications: Develop real-world projects in precision agriculture, natural resource management, archaeology, and more.
  • Professional Certification: Earn a diploma that validates your skills and boosts your career prospects.
Expand your knowledge and become an expert in geospatial data processing and analysis with our diploma program.

Testimonials

Frequently asked questions

Technique for obtaining reliable information about physical objects and the environment through processes of recording, measuring and interpreting photographic images.

Yes. The itinerary includes ECDIS/Radar-ARPA/BRM with harbor, ocean, fog, storm, and SAR scenarios.

Online with live sessions; hybrid option for simulator/practical placements through agreements.

Aerial and satellite imagery, lidar data, spectral data, thermal data, radar data.

Recommended functional SMCP. We offer support materials for standard phraseology.

Yes, with a relevant degree or experience in maritime/port operations. The admissions interview will confirm suitability.

Optional (3–6 months) through Companies & Collaborations and the Alumni Network.

Simulator practice (rubrics), defeat plans, SOPs, checklists, micro-tests and applied TFM.

A degree from Navalis Magna University + operational portfolio (tracks, SOPs, reports and KPIs) useful for audits and employment.

  1. Introduction to Georeferencing: Basic Concepts and Applications
  2. Coordinate Systems: Geodetic, Projected, and Intersystem Transformations
  3. Geospatial Data Acquisition: GPS, Total Stations, Drones, and Remote Sensing
  4. GPS Data Processing: Differential Correction, Precision, and Accuracy
  5. 3D Terrain Modeling: Creating Digital Elevation Models (DEMs) and Surfaces
  6. Basic Spatial Analysis: Overlay, Proximity, and Neighborhood Operations
  7. GIS Software: Introduction to ArcGIS, QGIS, and Other Tools
  8. Geospatial Data Visualization: Thematic Cartography and Symbology
  9. Network Analysis: Optimal Routes, Service Areas, and Connectivity

    Practical Applications: Case studies in agriculture, urban planning, and the environment

Request information

  1. Complete the Application Form.

  2. Attach your CV/degree certificate (if you have it to hand).

  3. Indicate your preferred cohort (January/May/September) and whether you would like the hybrid option with simulator sessions.

    An academic advisor will contact you within 24–48 hours to guide you through the admission process, scholarships, and compatibility with your professional schedule.

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