GPS and GNSS Technologies Training Course

Duration 10 days 20 modules · 65 contact hours
Level Intermediate Certificate on completion
Who attends GIS Analysts, Surveyors and Survey Technicians and others
Fee from USD 2,200 KSh 190,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 9 Nov 2026 Course code SD-GRS-037

Before you join: Participants should be comfortable using computers, reading maps and working with basic spatial data such as points, lines and polygons.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

GPS and GNSS data underpin asset mapping, construction setting-out, utility surveys, fleet tracking, environmental monitoring and emergency response. Yet coordinates collected in the field can be unreliable when teams select the wrong reference system, work beneath obstructions, accept poor satellite geometry or fail to document corrections and quality checks. Professionals must be able to judge whether a position is fit for purpose, not merely operate a receiver.

This course explains how GPS and multi-constellation GNSS produce positions and how field methods affect accuracy, repeatability and integrity. Participants work with coordinate reference systems, datums, map projections, satellite geometry, error sources, differential corrections, RTK positioning, post-processing and GNSS data formats. They learn to plan a survey, configure equipment, collect observations, assess quality indicators and integrate validated positions with GIS and remote-sensing data.

Instructor-led sessions combine focused technical briefings with equipment workflows, realistic cases and team-based problem solving. Cases include asset inventories, corridor surveys, control-point establishment and environmental field data collection. Participants build a GNSS fieldwork package during the course, including a survey plan, coordinate reference system decision record, quality-control procedures, metadata and a GIS-ready dataset. The final capstone requires participants to review and present a complete GNSS positioning solution for a defined operational requirement.

The course suits GIS professionals, survey and engineering staff, field-data managers, remote-sensing analysts and technical managers who commission or supervise location-based work. It is especially useful where teams need defensible position accuracy, consistent field procedures and data that can be shared safely between projects, contractors and systems.

What you will be able to do

  • Explain GPS and multi-constellation GNSS positioning principles using satellite geometry and range measurements
  • Select coordinate reference systems, datums and map projections for defined survey requirements
  • Plan GNSS field operations using visibility analysis, PDOP thresholds and accuracy specifications
  • Configure differential GNSS, RTK and network correction workflows for centimetre-level positioning
  • Assess GNSS observation quality using residuals, ambiguity status, PDOP and correction age
  • Process RINEX observations and validate static or kinematic GNSS survey results
  • Integrate GNSS field data with GIS layers, metadata and positional accuracy records
  • Produce and present a complete GNSS survey and quality-assurance package

Benefits of attending

For you

  • Ability to specify realistic position accuracy for field-data requirements
  • Confidence selecting datums, projections and coordinate transformations
  • Practical judgement when accepting or rejecting GNSS observations
  • Reusable methods for RTK, differential correction and post-processing workflows
  • Stronger capability to supervise contractors and verify survey deliverables

For your organisation

  • Fewer coordinate errors when integrating field records with enterprise GIS
  • Clearer GNSS accuracy specifications for survey contracts and procurement
  • More consistent field collection procedures across teams and locations
  • Reduced rework caused by unsuitable projections, datums or correction methods
  • Auditable metadata and quality records supporting engineering and regulatory decisions

Course modules

20 modules over 10 days

Participants can explain how GNSS receivers derive positions and identify the conditions affecting measurement quality.

  • GPS, Galileo, GLONASS and BeiDou constellation roles in modern positioning
  • Pseudorange measurements, carrier phase observations and receiver clock bias
  • Trilateration from satellite ranges and the four-dimensional position solution
  • Satellite ephemerides, almanacs and navigation message content
  • GNSS receiver channels, antennas and signal tracking functions
  • Positioning modes: standalone, differential, RTK, PPP and post-processed solutions

Participants can distinguish earth models and choose datum information required for a GNSS project.

  • Reference ellipsoids, geoid models and physical height relationships
  • WGS 84 datum, ellipsoid, geoid and coordinate reference system relationships
  • Horizontal datums, vertical datums and epoch-dependent reference frames
  • Geodetic latitude, longitude and ellipsoidal height calculations
  • Orthometric heights derived using geoid separation values
  • Datum transformations using grid shifts, Helmert parameters and transformation epochs

Participants can select and document suitable coordinate reference systems for location-based work.

  • Geographic coordinate systems expressed in decimal degrees and DMS
  • UTM zones, central meridians and scale factor effects
  • Transverse Mercator, Lambert conformal conic and local grid applications
  • Projection distortion assessed through distance, area, angle and direction requirements
  • EPSG codes used to identify coordinate reference systems
  • Coordinate reference system decision records for project data governance

Participants can diagnose major GNSS error sources and select appropriate mitigation measures.

  • Ionospheric delay effects on code and carrier measurements
  • Tropospheric delay modelling using pressure, temperature and humidity
  • Multipath identification near buildings, water, vehicles and metal surfaces
  • Satellite clock errors and broadcast ephemeris limitations
  • Receiver noise, antenna phase centres and cable effects
  • Selective availability history and current intentional signal interference

Participants can plan observation windows and field methods using satellite availability information.

  • Dilution of precision: PDOP, HDOP, VDOP and TDOP interpretation
  • Skyplot review for obstruction, azimuth and elevation assessment
  • Elevation masks and their effects on measurement availability
  • Mission planning with satellite almanacs and predicted geometry
  • Observation windows selected against PDOP and constellation availability thresholds
  • Field schedules adjusted for canopy, urban canyon and terrain constraints

Participants can configure GNSS equipment for a stated accuracy and data-management requirement.

  • Receiver classes: mapping-grade, survey-grade and timing-grade capabilities
  • Antenna types, ground planes and multipath reduction techniques
  • Tribrachs, poles, bipods and antenna height measurement methods
  • Controller settings for coordinate systems, epochs and logging intervals
  • Battery, storage and communication checks before field deployment
  • Equipment configuration sheets supporting repeatable crew procedures

Participants can design a GNSS field collection workflow with defined attributes, metadata and acceptance criteria.

  • Feature dictionaries linking asset classes, attributes and coded values
  • Point, line and polygon capture methods with GNSS receivers
  • Averaging observations for mapping-grade point feature collection
  • Occupations, repeats and independent checks for survey control
  • Metadata fields for receiver, correction source, time and accuracy
  • Field acceptance criteria based on precision, fix status and completeness

Participants can select and apply differential correction methods appropriate to required accuracy levels.

  • Common-mode error removal through base and rover observations
  • Code-based differential GNSS for sub-metre mapping applications
  • SBAS corrections, coverage limits and integrity message interpretation
  • Base station coordinates, antenna setup and correction broadcasting
  • Correction age, latency and baseline length quality indicators
  • Differential correction selection against accuracy, cost and communications constraints

Participants can operate and evaluate RTK workflows using base-rover or network corrections.

  • Carrier-phase ambiguity resolution and fixed versus float solutions
  • RTK base-rover architecture and radio communication requirements
  • Network RTK services using virtual reference station methods
  • NTRIP client, caster and mountpoint connection workflow
  • Initialization checks, ambiguity resets and loss-of-fix recovery
  • RTK quality thresholds for fixed status, PDOP and correction age

Participants can plan static GNSS control observations and determine suitable occupation strategies.

  • Static, rapid-static and stop-and-go survey method selection
  • Baseline length, session duration and observation interval planning
  • Control network design using redundancy and independent checks
  • Monument selection, station descriptions and recovery information
  • Antenna height records using slant and vertical measurements
  • Control survey field logs supporting traceability and later adjustment

Participants can prepare GNSS observation files and assess post-processed baseline results.

  • RINEX observation, navigation and meteorological file structures
  • Raw receiver data conversion and file naming conventions
  • Precise orbit products and their role in post-processing
  • Baseline processing with code, carrier phase and ambiguity constraints
  • Cycle slips, data gaps and signal loss detection
  • Processing reports reviewed for residuals, ratios and solution status

Participants can assess survey network quality using adjustment outputs and positional accuracy measures.

  • Least-squares adjustment principles for GNSS survey networks
  • Redundancy, residuals and outlier detection in observation sets
  • Error ellipses and confidence intervals for adjusted coordinates
  • Relative accuracy versus absolute accuracy in control surveys
  • Root mean square error calculations and reporting limits
  • Acceptance reports comparing achieved accuracy against project specifications

Participants can identify integrity threats and define operational responses to unreliable GNSS signals.

  • GNSS integrity concepts: alarm limits, protection levels and alerts
  • Jamming indicators, interference sources and receiver response procedures
  • Spoofing symptoms identified through position, time and signal anomalies
  • Multi-constellation monitoring for improved availability and fault detection
  • Fallback positioning methods using total stations, maps and control points
  • Incident records documenting suspected interference and data-use restrictions

Participants can apply a quality-assurance process to GNSS data before operational release.

  • Quality assurance plans defining accuracy, completeness and traceability criteria
  • Independent check points used to verify collected coordinates
  • Attribute validation rules for field-collected GIS features
  • Duplicate observations compared using tolerance-based exception reporting
  • Metadata review for date, operator, equipment and correction source
  • Nonconformance logs assigning corrective actions and approval decisions

Participants can import, validate and manage GNSS-derived data within a GIS workflow.

  • GNSS point imports using CSV, GPX, GeoJSON and shapefile formats
  • Coordinate transformation checks before GIS layer integration
  • Field-collected features matched against authoritative base mapping
  • Topology rules for asset points, lines and polygon boundaries
  • Positional accuracy attributes stored using ISO 19115 metadata principles
  • GIS editing workflows preserving original observations and audit trails

Participants can plan and document GNSS ground control for remotely sensed imagery and drone surveys.

  • Ground control point placement for aerial imagery and orthomosaics
  • Check points separated from control points for independent validation
  • Target design, visibility and image-identification requirements
  • RTK and post-processed kinematic methods for drone positioning
  • Vertical accuracy checks against terrain models and surveyed points
  • Ground control reports linking coordinates, photos and accuracy evidence

Participants can match GNSS methods to operational requirements in common professional applications.

  • Utility asset capture using offset measurements and feature coding
  • Construction setting-out checks against approved design coordinates
  • Environmental monitoring plots located through repeatable GNSS procedures
  • Transport corridor surveys using kinematic trajectories and control points
  • Emergency mapping requirements for speed, accuracy and data sharing
  • Method selection matrix comparing accuracy, staffing, equipment and risk

Participants can write GNSS requirements and review supplier evidence against stated specifications.

  • Survey scopes defining deliverables, coordinate systems and accuracy classes
  • Accuracy specifications separating horizontal, vertical and relative requirements
  • Method statements covering equipment, corrections and field quality checks
  • Contractor submissions reviewed for metadata, control and processing evidence
  • Acceptance criteria based on independent checks and documented tolerances
  • Handover packages containing data, reports, logs and coordinate records

Participants can prepare an end-to-end GNSS project plan for a defined field-data requirement.

  • Requirements analysis translating operational needs into positional accuracy targets
  • Work breakdown structures for planning, collection, processing and reporting
  • Risk registers covering weather, access, interference and communications
  • Crew roles, equipment allocations and daily field-control procedures
  • Data management plans defining storage, naming, backups and version control
  • Project review gates for readiness, quality assurance and client acceptance

Participants can build, review and present a complete GNSS survey and GIS data-delivery package for a realistic operational case.

  • Define positioning requirements, tolerances, outputs and stakeholder acceptance criteria
  • Select coordinate reference systems, equipment and correction methods
  • Prepare a satellite plan, field procedure and risk register
  • Create field attributes, metadata rules and quality-control checkpoints
  • Review simulated observation results, exceptions and corrective actions
  • Present the completed GNSS project package and technical justification

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. GNSS survey planning template
  2. Coordinate reference system decision record
  3. RTK field configuration checklist
  4. GNSS quality-assurance plan
  5. Survey accuracy acceptance matrix
  6. GIS-ready GNSS project package

Who should attend

  • GIS Analysts — need defensible coordinates and correctly referenced spatial datasets
  • Surveyors and Survey Technicians — require practical GNSS planning, observation and quality-control methods
  • Civil Engineers — need reliable positioning for design surveys, construction control and asset records
  • Remote Sensing Analysts — need ground-control and field-reference data for image interpretation
  • Environmental Field Officers — collect location-based observations for monitoring, compliance and reporting
  • Technical Project Managers — commission GNSS work and need to assess accuracy claims

Skills and tools covered

GNSS survey planningCoordinate reference systemsRTK positioningGNSS quality controlRINEX post-processingGIS data integration

Tools and standards

QGIS, RTKLIB, RINEX, NTRIP

How the course runs

Training methodology

The course uses short technical briefings followed by guided interpretation of receiver outputs, satellite plans, coordinate records and GIS datasets. Participants work through realistic survey cases in small groups, making decisions on accuracy, equipment configuration, corrections and acceptance criteria. Instructor demonstrations show receiver, GIS and post-processing workflows without tying learning to one equipment brand. Simulations address satellite obstruction, poor geometry, multipath and correction loss. Individual application planning connects each method to participants’ own field, asset or mapping responsibilities.

Requirements and prerequisites

Participants should be comfortable using computers, reading maps and working with basic spatial data such as points, lines and polygons. Some exposure to GIS software, field data collection or surveying is helpful, particularly for participants who will configure receivers or review survey outputs. The course assumes confidence with file management and spreadsheet-style tables. Prior experience with GPS receivers, geodesy, programming, trigonometry or advanced survey calculations is not required. Technical concepts are introduced before participants apply them to survey planning, data collection and quality review.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

You should be comfortable with computers, maps and basic spatial data. Previous GIS, surveying or GPS receiver experience is useful but not required; the course introduces geodesy and GNSS principles before applying them.

Bring a laptop if you have one and, where permitted, examples of field forms, coordinate lists or GIS data from your work. Training materials and case data are provided, and participants do not need to own a GNSS receiver.

It is designed for GIS staff, survey teams, engineers, environmental field officers, remote-sensing analysts and managers of location-based projects. It suits people who collect, use, commission or quality-check GNSS data.

GIS courses focus primarily on spatial data management, analysis and mapping, while remote-sensing courses focus on imagery and sensor interpretation. This course concentrates on obtaining defensible coordinates, controlling positional accuracy and preparing GNSS data for those systems.

Participants can use the planning templates, quality checks and specification methods to improve field collection procedures or review contractor deliverables. The methods apply to asset inventories, control surveys, monitoring sites, construction work and ground-control collection.

Each day runs from 08:30 to 16:30 and provides about 6.5 contact hours. The first week establishes positioning, geodesy, field methods and corrections; the second week focuses on processing, quality assurance, GIS integration, project planning and the capstone.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.