Remote Sensing for Agricultural Water Management Course

Remote Sensing for Agricultural Water Management Course

Foundation | 5 days | Face to Face / Online / Elearning | Certificate
4.0
Overall Score
01

Course Overview

Course Summary
Course Title Remote Sensing for Agricultural Water Management Course
Organization Tech For Development (T4D)
Venue Tech For Development (T4D) Training Centre
Duration 5 days
Target Industries
Target Job Roles
Course Fees (Face-to-Face) USD 1,500/KES 99,000 (Exclusive of VAT)
Course Fees (Virtual) USD 1,000/KES 70,000 (Exclusive of VAT)
Training Modes Virtual and face-to-face training
Payment Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course
Accreditation Tech For Development Certificate of Course Completion

Course Overview

This course is designed to build practical capacity in using remote sensing and geospatial technologies to monitor, assess, and manage water resources for agriculture. The course focuses on applying satellite imagery, spatial data and basic GIS tools to support irrigation planning, water use efficiency, drought monitoring and climate-resilient agricultural water management.

Participants will gain hands-on understanding of how remote sensing supports decision-making in irrigation schemes, rain-fed agriculture, watershed management, and agricultural policy. Emphasis is placed on practical interpretation of data, real-world agricultural applications and integration of remote sensing outputs into planning and management processes.

Course Duration
5 Days

Target Audience

  • Agricultural and irrigation officers

  • Water resource and environmental managers

  • Agribusiness and farm managers

  • GIS and remote sensing practitioners

  • Researchers and development practitioners in agriculture and water

Personal Impact

  • Improved understanding of remote sensing applications in agriculture

  • Enhanced ability to assess water availability and crop water needs

  • Increased confidence in using spatial data for decision-making

  • Practical skills in interpreting satellite imagery and indices

  • Better understanding of climate and drought impacts on agriculture

Organizational Impact

  • Improved agricultural water planning and management

  • Enhanced irrigation efficiency and water-use decision-making

  • Stronger drought monitoring and early warning systems

  • Improved data-driven agricultural and water policies

  • Increased resilience of agricultural systems to climate variability

Course Objectives
By the end of the training, participants will be able to:

  • Understand basic remote sensing and GIS concepts

  • Apply satellite data to agricultural water management

  • Monitor crop conditions and water stress

  • Assess irrigation performance and water-use efficiency

  • Support drought monitoring and water planning decisions

  • Integrate remote sensing outputs into agricultural management

02

Course Modules

Course Outline

Module 1: Introduction to Remote Sensing and Agricultural Water Management

  • Principles of remote sensing and earth observation

  • Role of remote sensing in agricultural water management

  • Types of satellite data and sensors

  • Overview of agricultural water challenges

  • Case Study: Remote sensing applications in agricultural water management

Module 2: Satellite Data and Vegetation Indices for Water Assessment

  • Common satellite platforms and data sources

  • Vegetation indices and crop water indicators

  • Interpreting NDVI and related indices

  • Monitoring crop health and water stress

  • Practical Exercise: Interpreting vegetation index maps

Module 3: Irrigation Monitoring and Water Use Efficiency

  • Mapping irrigated and rain-fed areas

  • Estimating crop water requirements

  • Assessing irrigation performance

  • Identifying water losses and inefficiencies

  • Case Study: Remote sensing for irrigation performance monitoring

Module 4: Drought Monitoring and Climate Variability

  • Remote sensing indicators for drought assessment

  • Monitoring rainfall variability and soil moisture

  • Early warning systems for agricultural drought

  • Climate risk implications for water management

  • Practical Exercise: Analyzing drought patterns using satellite data

Module 5: Integrating Remote Sensing into Water Management Planning

  • Using remote sensing outputs for planning and policy

  • Supporting irrigation scheduling and resource allocation

  • Linking remote sensing with field data

  • Institutional and operational considerations

  • Capstone Exercise: Developing a remote sensing–based agricultural water management plan

03

Course Administration

Methodology

Instructor-led sessions use a blended learning approach combining presentations, guided practical exercises, web-based tutorials, and group work, delivered by seasoned industry experts. All facilitation and course materials are in English, so participants should be reasonably proficient in the language.

Accreditation

Upon successful completion of this training, participants will be issued a Tech For Development Certificate of Course Completion

Training Venue

The training will be held at the Tech For Development Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

Accommodation & Airport Transfer

Arranged upon request.For reservations contact the Training Officer:
Email: [email protected]
Phone: (+254) 790 824 179

Tailor-Made

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our T4D Training Centre or at a convenient location.

Payment

Payment should be transferred to the T4D account through a bank on or before the start of the course. Send proof of payment to [email protected].

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Date Cost
2026 Schedules
Nairobi
14 Dec - 18 Dec
KES 99,000 |
$1,500
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Johannesberg
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Kigali
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Pretoria
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Kigali
Addis Ababa
Kuala Lumpur
Accra
Pretoria
Cape Town
Johannesberg
Cairo
Arusha
Machakos
Zanzibar
Kisumu
Nakuru
Mombasa
Nairobi
Naivasha
Kampala
Dubai