Remote Sensing for Agricultural Water Management Course


Develop skills to use remote sensing for land cover classification, estimating evapotranspiration, water productivity, irrigation performance assessment & irrigation water accounting.


5 Days

Who should attend

Engineers and technicians and academics involved in irrigation system management in various government and non-government organizations.


Register for the course

Face to Face Schedules By Location
Nairobi Schedules:
Code Date Duration Location Fees
RSA001 2 Oct 2023 - 6 Oct 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
RSA001 6 Nov 2023 - 10 Nov 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
RSA001 4 Dec 2023 - 8 Dec 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
Kigali Schedules:
Mombasa Schedules:
Nakuru Schedules:
Kisumu Schedules:
Naivasha Schedules:
Virtual Trainer Led Schedules
Contact Us on (+254) 715 077 817 / (+254) 792 516 000 or email us [email protected] for a virtual schedule.

Contact Us on (+254) 715 077 817 / (+254) 792 516 000 or email us [email protected] for E-Learning course.

Objectives of the course

  1. The Participant will be able to explain RS theory, technology, typical applications of earth observation data
  2. The Participant will be able to acquire and pre-process high resolution satellite data, extract biophysical features, derive and analyse vegetation indices in agricultural systems
  3. The Participant will be able to map crop types using time series of big satellite data through application of machine learning algorithms in cloud based platforms
  4. The Participant will be able to explain the theory and implement surface energy balance model to estimate Evapotranspiration (ET), biomass production, and Water Productivity (WP)
  5. The Participant will be able to conduct irrigation performance assessment


1.  Introduction to Earth observation and remote sensing techniques Basics of RS and spatial big data; introduction to common RS data portal; earth observation satellites; typical application of RS and existing products; hands-on exercises on need analysis and acquiring of relevant data.

2.  Remote Sensing data analysis Overview of RS data processing flow; satellite data pre-processing; mapping and visualizing spatial data; image analysis; hands-on exercise on deriving vegetation indices, zonal statistics using open source software and libraries.

3.  Remote sensing and big data for mapping crop types Classification algorithms; machine learning approaches in crop classification from bigdata; ground truthing methods; accuracy assessment; hands-on exercises on crop type classification using open source libraries and cloud based Google Earth Engine (GEE)

4.  Remote sensing for Evapotransipration, yield and WP assessment (SEBAL) Theory of SEBAL, Introduction to pySEBAL model, hands-on exercise on running pySEBAL to estimate ET, biomass, and WP. The skills acquired will be applied to the case study/assignment in progress during the class.

5.  Remote sensing for irrigation water accounting and performance assessment Assessment of the irrigation performance using remote sensing based indicators for productivity, adequacy, reliability, and equity; interpreting results to identify gaps, diagnose water management problems, and attribute to relevant factors for improvements; perform irrigation scheme level water accounting

Course Administration Details:


Upon successful completion of this training, participants will be issued with an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).


The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments and lunch.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.


Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.

Email:[email protected].  

Mob: +254 715 077 817/+250789621067


This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817/+250789621067.

Mob: +254 792516000+254 792516010 ,or mail [email protected]/[email protected]


Payment should be transferred to IRES account through bank on or before start of the course

Send proof of payment to [email protected]/[email protected]

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