GIS and Remote Sensing in Agriculture, Food Security and Climate Change in Naivasha, Kenya
Classroom training in Naivasha · next cohort Nov 2, 2026 · from USD 3,000
Food security early warning depends on knowing, weeks before harvest, where crops are failing and which communities face drought. Satellite observation now provides that view across entire countries at low cost. Remote sensing fundamentals for agriculture open the programme, covering sensors, spectral signatures and image preprocessing. You then monitor crop condition with NDVI and related vegetation indices, compare current seasons with long-term averages and analyse satellite-derived rainfall estimates and drought indices such as SPI and VCI.
Later days map cropped area extent through image classification, introduce remote sensing approaches to yield estimation and combine hazard, exposure and vulnerability layers into climate risk maps. Across ten days, hands-on exercises use freely available datasets and follow complete analytical workflows from download to map output. Agricultural officers, food security and early warning analysts, climate adaptation specialists, researchers and humanitarian planners will find the workflows transferable to their own monitoring systems. You leave able to produce crop condition bulletins, drought maps and risk analyses that support timely decisions on food assistance, insurance and adaptation.
At a Glance
Training in Naivasha, Kenya
Naivasha is a lakeside Rift Valley town about 90 km from Nairobi, popular for residential training.
More about training in Naivasha →- Format
- Classroom, in Naivasha
- Duration
- Mon - Fri (10 Days)
- Fee
- USD 3,000 (KES 230,000)
- Next start dates
- Nov 2, 2026, Nov 30, 2026, Dec 28, 2026
- Certificate
- Certificate of Completion
- Nearest international airport
- Jomo Kenyatta International (NBO), about two hours by road
- From Nairobi
- About 90 km, roughly 1.5 to 2 hours by road
- Time zone
- East Africa Time (UTC+3)
- Currency
- Kenyan shilling (KES). Fees are listed in USD and KES.
About this course
This course builds practical GIS and remote sensing skills for agricultural monitoring, food security early warning, and climate risk analysis. Participants work with vegetation indices (NDVI, EVI) for crop condition monitoring, rainfall and drought index analysis using satellite rainfall estimates, and crop area mapping and basic yield estimation approaches.
The course also covers climate risk mapping - overlaying rainfall variability, temperature trends, and soil data to identify vulnerable agricultural zones - and building the seasonal monitoring bulletins that food security early warning systems depend on.
Throughout the programme, participants work through realistic scenarios drawn from public sector institutions, private enterprises, development organizations, and regulated professional environments, examining how GIS and remote sensing in agriculture, food security and climate change is applied in practice and where it most often breaks down. Delegates will develop practical skill in designing appropriate frameworks, selecting and applying the right tools for building climate risk maps, interpreting findings, and communicating conclusions clearly to colleagues, management and external stakeholders. Sessions move deliberately from principles to application, so that each technique introduced is practised against a realistic problem before the programme moves on — strengthening both individual effectiveness and the wider capability of the organizations delegates return to.
Training Objectives
By the end of this course, participants will be able to:
- Develop robust GIS and remote sensing in agriculture, food security and climate change frameworks that support successful implementation and measurable outcomes.
- Analyze performance using recognized evaluation methods drawn from building climate risk maps.
- Design practical systems that strengthen accountability, transparency and evidence generation.
- Evaluate outcomes and assess longer-term impact across a range of operating contexts.
- Apply relevant tools, frameworks and analytical methodologies confidently and appropriately.
- Integrate mapping cropped area extent into existing organizational processes and reporting structures.
- Strengthen decision-making and operational effectiveness through evidence-based professional practice.
What you'll learn
Key Takeaways
By the end of the GIS and Remote Sensing in Agriculture, Food Security and Climate Change, participants will leave with:
- A comprehensive working understanding of GIS and remote sensing in agriculture, food security and climate change principles and performance-measurement methodology.
- Enhanced ability to design practical systems and evaluate outcomes reliably.
- Improved competency in building climate risk maps, reporting structures and analytical interpretation.
- Practical techniques for translating findings into strategic insight and clear recommendations.
- Greater confidence in applying GIS and remote sensing in agriculture, food security and climate change and assessing measurable results.
- Stronger capability to support organizational learning and continuous performance improvement.
- Improved approaches to strengthening sustainability, accountability and operational effectiveness.
Training Methodology
This training course adopts a practical, participant-centered learning approach that builds GIS and remote sensing in agriculture, food security and climate change expertise, strengthens analytical capability and develops confident professional judgement. The methodology combines specialist facilitation, applied hands-on experience and globally recognized professional practice, so that delegates return able to apply what they have learned immediately rather than in theory only.
Methodology includes:
- Expert-led sessions facilitated by experienced GIS and remote sensing in agriculture, food security and climate change practitioners and subject-matter specialists.
- Practical application of the frameworks, tools and techniques used in building climate risk maps.
- Real-world case studies drawn from public sector institutions, private enterprises, development organizations, and regulated professional environments.
- Tool-based demonstrations of the systems, templates and reporting applications used in current practice.
- Interactive discussion and scenario-based learning focused on realistic challenges and decision points.
- Structured group exercises with facilitator feedback, reinforcing learning through practice rather than lecture alone.
Day 1: Remote Sensing Fundamentals for Agriculture
- Satellite data sources relevant to agricultural monitoring
- Spectral properties of healthy versus stressed vegetation
- Selecting imagery for different monitoring timescales
- Planning an agricultural monitoring project
- Standards, frameworks and good practice governing remote sensing fundamentals for agriculture
- Practical tools, templates and techniques for remote sensing fundamentals for agriculture
- Roles, responsibilities and stakeholder coordination in remote sensing fundamentals for agriculture
Day 2: Monitoring Crop Condition with Vegetation Indices
- Monitoring crop condition using NDVI and other vegetation indices
- Interpreting vegetation index time series
- Distinguishing crop stress from other causes of index change
- Validating vegetation indices against field observations
- Reviewing outcomes and capturing lessons learned
- Practical exercise and facilitated review
- Core principles and terminology underpinning monitoring crop condition with vegetation indices
Day 3: Satellite-Derived Rainfall and Drought Indices
- Analysing satellite-derived rainfall and drought indices
- Comparing drought index products and their suitability
- Building a drought monitoring routine
- Communicating drought severity from index data
- Resourcing, cost and capacity considerations
- Regulatory, ethical and compliance dimensions of satellite-derived rainfall and drought indices
- Technology and automation supporting satellite-derived rainfall and drought indices
Day 4: Mapping Cropped Area Extent
- Mapping cropped area extent using satellite imagery classification
- Distinguishing crop types where possible
- Validating cropped area estimates
- Updating cropped area maps across seasons
- Planning and sequencing mapping cropped area extent within the wider workflow
- Data, evidence and information requirements for mapping cropped area extent
- Decision points and escalation routes in mapping cropped area extent
Day 5: Remote Sensing Approaches to Yield Estimation
- Applying basic remote sensing approaches to crop yield estimation
- Combining vegetation indices with historical yield data
- Understanding limitations of remote-sensing yield estimates
- Communicating yield estimate uncertainty
- Technology and automation supporting remote sensing approaches to yield estimation
- Reviewing outcomes and capturing lessons learned
- Practical exercise and facilitated review
Day 6: Building Climate Risk Maps
- Building climate risk maps combining rainfall, temperature, and soil data
- Integrating multiple climate risk layers
- Validating climate risk maps against known impacts
- Updating climate risk maps as new data arrives
- Decision points and escalation routes in building climate risk maps
- Resourcing, cost and capacity considerations
- Regulatory, ethical and compliance dimensions of building climate risk maps
Day 7: Identifying Agriculturally Vulnerable Zones
- Identifying agriculturally vulnerable zones using multi-criteria analysis
- Weighting vulnerability criteria appropriately
- Combining vulnerability with hazard data
- Presenting vulnerability zoning to decision-makers
- Worked example: applying identifying agriculturally vulnerable zones in a live GIS and remote sensing in agriculture, food security and climate change context
- Planning and sequencing identifying agriculturally vulnerable zones within the wider workflow
- Data, evidence and information requirements for identifying agriculturally vulnerable zones
Day 8: Producing Food Security Early Warning Bulletins
- Producing seasonal monitoring bulletins for food security early warning
- Structuring bulletins for rapid decision-maker use
- Balancing technical detail with clarity
- Establishing a regular bulletin production cycle
- Common challenges, risks and failure points in producing food security early warning bulletins
- Documentation, record-keeping and reporting requirements
- Measuring performance and assuring quality in producing food security early warning bulletins
Day 9: Integrating Ground Survey Data
- Integrating ground survey data with satellite-derived agricultural indicators
- Designing ground-truthing protocols
- Reconciling discrepancies between satellite and ground data
- Improving satellite product accuracy through ground validation
- Data, evidence and information requirements for integrating ground survey data
- Decision points and escalation routes in integrating ground survey data
- Resourcing, cost and capacity considerations
Day 10: Applied Food Security Monitoring Project
- Building a complete agricultural and food security monitoring output
- Presenting findings to programme and government stakeholders
- Documenting the monitoring methodology
- Planning ongoing monitoring cycle implementation
- Measuring performance and assuring quality in applied food security monitoring project
- Worked example: applying applied food security monitoring project in a live GIS and remote sensing in agriculture, food security and climate change context
- Planning and sequencing applied food security monitoring project within the wider workflow
This course is for agriculture and food security professionals who need satellite-derived evidence to monitor crop health and anticipate drought before it becomes a crisis.
- Agricultural GIS and Remote Sensing Analysts
- Food Security Early Warning Officers
- Government Agriculture Ministry Technical Staff
- NGO Food Security and Climate Programme Officers
- Agricultural Insurance and Risk Analysts
- Climate Change Adaptation Programme Staff
- IT Managers and Systems Administrators
Participants who complete the ten days receive a Certificate of Completion from Vision Reach Global Consultancy, confirming their ability to apply GIS and remote sensing to agriculture, food security and climate monitoring.
The award recognizes full attendance and successful completion of the programme assessment activities. It is widely accepted for continuing professional development purposes, and its authenticity can be confirmed with Vision Reach Global Consultancy at any time.
Choose Where You Want to Learn
GIS and Remote Sensing in Agriculture, Food Security and Climate Change Venues
KenyaNaivashaNext Nov 2· 13 dates$3,000Viewing- KenyaMombasaNext Oct 26· 13 dates$3,200
- KenyaNairobiNext Nov 9· 13 dates$3,000
- KenyaKisumuNext Oct 26· 13 dates$3,000
- KenyaMachakosNext Nov 2· 13 dates$3,200
UgandaKampalaNext Nov 2· 13 dates$3,800
RwandaKigaliNext Oct 26· 13 dates$3,800
South AfricaCape TownNext Oct 26· 13 dates$7,600
TanzaniaZanzibarNext Nov 16· 13 dates$5,200
UAEDubaiNext Oct 26· 13 dates$7,600- South AfricaPretoriaNext Nov 2· 13 dates$6,400
- South AfricaJohannesburgNext Nov 2· 13 dates$6,800
- TanzaniaDodomaNext Oct 26· 13 dates$3,600
- TanzaniaDar es SalaamNext Oct 26· 13 dates$4,000
- TanzaniaArushaNext Nov 9· 13 dates$3,800
NigeriaAbujaNext Nov 9· 13 dates$5,600- NigeriaLagosNext Nov 16· 13 dates$5,600
GhanaAccraNext Nov 16· 13 dates$9,000
Scroll sideways to see all 18 cities →
Frequently Asked Questions About GIS and Remote Sensing in Agriculture, Food Security and Climate Change in Naivasha
Everything you need to know about this course before you register.
GIS and Remote Sensing in Agriculture, Food Security and Climate Change runs as classroom training in Naivasha, Kenya, in Monday-to-Friday cohorts that start every four weeks. The venue, daily timings and joining details are sent in your Joining Instructions email ahead of the start date.
The next Naivasha cohort starts on November 2, 2026, and a new intake follows every four weeks. Pick a date under "Upcoming sessions in Naivasha" above and click Register; your seat is confirmed once payment or a signed purchase order is received.
The classroom fee for GIS and Remote Sensing in Agriculture, Food Security and Climate Change in Naivasha is USD 3,000 per delegate, covering tuition and course materials. Register 3 or more delegates together and a 5% team discount is applied automatically.
Yes. Besides Naivasha, GIS and Remote Sensing in Agriculture, Food Security and Climate Change runs as classroom training in Mombasa, Nairobi, Kisumu, and Machakos. It also runs as live online training you can join from anywhere in Kenya, and in-house at your organisation's own premises.
Yes — GIS and Remote Sensing in Agriculture, Food Security and Climate Change can be delivered at your offices in Naivasha or at a venue you choose, on dates that suit your team, with case studies tailored to your sector. Message our training advisors to request a proposal.
By the end of the GIS and Remote Sensing in Agriculture, Food Security and Climate Change programme, you'll be able to monitor crop condition using ndvi and other vegetation indices, analyse satellite-derived rainfall and drought indices, map cropped area extent using satellite imagery classification, and apply basic remote sensing approaches to crop yield estimation. The full breakdown of topics is covered session by session in the Course Outline tab above.
This course is for agriculture and food security professionals who need satellite-derived evidence to monitor crop health and anticipate drought before it becomes a crisis. Typical delegates include Agricultural GIS and Remote Sensing Analysts, Food Security Early Warning Officers, Government Agriculture Ministry Technical Staff, NGO Food Security and Climate Programme Officers, Agricultural Insurance and Risk Analysts, Climate Change Adaptation Programme Staff, and IT Managers and Systems Administrators.
GIS and Remote Sensing in Agriculture, Food Security and Climate Change typically runs as 10 Days. It's available as in-person classroom training — every course can also be delivered on-site for your team on dates that suit you.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for GIS and Remote Sensing in Agriculture, Food Security and Climate Change from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
GIS and Remote Sensing in Agriculture, Food Security and Climate Change is pitched at intermediate professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
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What Our Clients Say
VRG brings strategic discipline to complex organizational challenges. Their approach is structured, data-driven, and outcome-focused.
Levis Wabwire
Managing Director
They facilitated our strategy review, we improved departmental KPI alignment by 35% and reduced operational bottlenecks significantly.
David Oketch
Strategy Lead
Employee engagement scores increased following the leadership training program. The difference in accountability culture is evident.
Wendy Albright
Program Manager
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