Training on Remote Sensing Image Acquisition: Methods and Technologies
Gain practical skills in remote sensing image acquisition and learn the latest methods and technologies for spatial data collection.
Next intake
20 Jul 2026 · Nakuru
Duration
5 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Foundation
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
Remote sensing imagery is critical for modern mapping, environmental monitoring, resource management, and decision-making. This course provides professionals with knowledge of image acquisition methods, sensor technologies, platforms, and data quality considerations. Participants will learn to select appropriate acquisition strategies, integrate data from multiple sources, and ensure high-quality spatial datasets for analysis and operational use.
The course emphasizes practical application and strategic decision-making, enabling participants to optimize remote sensing workflows and enhance organizational capabilities in geospatial data acquisition.
Duration
5 Days
Who Should Attend
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GIS and remote sensing specialists
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Environmental and natural resource analysts
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Urban and regional planners
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Surveyors and mapping professionals
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Data scientists and geospatial analysts
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Policy advisors and decision-makers using spatial data
What you'll walk away with
By the end of this course, participants will be able to:
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Understand principles of remote sensing and image acquisition
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Identify and use different types of sensors and platforms (satellite, UAV, aerial)
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Evaluate data quality, resolution, and suitability for various applications
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Integrate multi-source remote sensing datasets for analysis
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Implement best practices for remote sensing project planning and execution
What we cover, module by module
Module 1: Introduction to Remote Sensing and Image Acquisition
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Fundamentals of remote sensing and electromagnetic spectrum
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Types of remote sensing: passive vs active
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Overview of platforms: satellites, UAVs, aerial imagery
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Data acquisition workflow and mission planning
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Case Study: Satellite imagery acquisition for environmental monitoring
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Practical Exercise: Assessing data requirements for a specific project
Module 2: Sensors and Platforms for Image Acquisition
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Optical, radar, LiDAR, and multispectral sensors
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Satellite constellations and UAV systems
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Resolution types: spatial, spectral, temporal, radiometric
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Platform selection criteria for different applications
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Case Study: UAV imagery for precision agriculture
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Practical Exercise: Choose sensors and platforms for a hypothetical mapping project
Module 3: Image Quality and Preprocessing
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Factors affecting image quality: atmospheric, geometric, radiometric
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Calibration and correction techniques
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Data preprocessing for analysis
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Data formats, storage, and metadata considerations
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Case Study: Preprocessing satellite imagery for urban analysis
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Practical Exercise: Conduct geometric and radiometric corrections on sample images
Module 4: Multi-Source Data Integration
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Combining imagery from different sensors and platforms
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Data fusion techniques and interoperability
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Managing spatial and temporal discrepancies
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Applications in environmental monitoring, disaster management, and planning
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Case Study: Integrating optical and radar imagery for flood assessment
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Practical Exercise: Fuse multi-source data to create a composite map
Module 5: Planning and Implementing Remote Sensing Projects
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Project planning and workflow management
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Cost, time, and resource considerations
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Data acquisition ethics, licensing, and compliance
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Strategic applications for decision-making and reporting
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Case Study: Planning a regional land-use monitoring project
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Practical Exercise: Develop a remote sensing acquisition plan for a chosen application
Where the change lands
Personal Impact
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Enhances technical skills in remote sensing data acquisition and interpretation
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Builds expertise in selecting and using appropriate sensors and technologies
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Improves decision-making and analytical capabilities in spatial projects
Organizational Impact
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Strengthens data-driven planning and monitoring
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Improves quality and reliability of spatial datasets
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Supports efficient resource management, environmental monitoring, and operational decision-making
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
- NakuruNext
20 Jul → 24 Jul·In-Person
Book this intake - Kigali
20 Jul → 24 Jul·In-Person
Book this intake - Accra
20 Jul → 24 Jul·In-Person
Book this intake - Kisumu
27 Jul → 31 Jul·In-Person
Book this intake - Johannesburg
27 Jul → 31 Jul·In-Person
Book this intake - Dakar
27 Jul → 31 Jul·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
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Course finder
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For corporate teams
Training 10+ professionals?
We deliver Training on Remote Sensing Image Acquisition: Methods and Technologies in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.