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What You'll Learn

Master remote sensing for land use and land cover analysis. Learn to monitor land use changes, assess land cover patterns, and support sustainable land management.

Course Benefits
Industry Certification

Internationally recognized qualification

Expert Instructors

Learn from industry professionals

Dedicated Support

Assistance during and after training

Practical Skills

Apply knowledge immediately

Comprehensive 5-day curriculum with all materials included
Hands-on exercises and real-world case studies
Valuable networking opportunities with peers and experts
Post-course resources and refresher materials
Training on Remote Sensing for Land Use and Land Cover Analysis - Course Cover Image
Duration 5 Days
Level Advanced
Format In-Person

Course Overview

Featured

This course provides a comprehensive understanding of remote sensing techniques and their applications in land use and land cover (LULC) analysis. Participants will learn how to interpret and analyze satellite imagery to assess changes in land use, monitor environmental impacts, and support sustainable land management practices. The course combines theoretical concepts with hands-on exercises using remote sensing software, enabling participants to apply these techniques to real-world scenarios.

Course Duration

5 Days

Who Should Attend

  • Environmental scientists and professionals
  • GIS specialists and analysts
  • Urban planners and land managers
  • Researchers and academicians in geography, environmental studies, or related fields
  • Government agencies and NGOs involved in land management and environmental monitoring

Course Impact

Organisational Impact

  • Strengthens capacity to monitor and assess land use changes for planning and policy development.

  • Supports sustainable land management by providing accurate data for decision-making.

  • Enhances ability to track environmental impacts such as deforestation, urban growth, and agricultural expansion.

  • Reduces reliance on costly field surveys through the use of satellite imagery and remote sensing tools.

  • Builds institutional expertise in integrating LULC analysis into environmental and development programs.

Personal Impact

  • Equips participants with practical skills to interpret and analyze satellite imagery for LULC applications.

  • Expands career opportunities in environmental management, GIS, urban planning, and research.

  • Builds confidence in using remote sensing software to assess land use patterns and changes.

  • Provides hands-on experience with real-world datasets and case studies.

  • Empowers participants to contribute effectively to sustainable land management and environmental conservation initiatives.

Course Objectives

By the end of this course, participants will be able to:

  • Understand the fundamental principles of remote sensing and its role in LULC analysis.
  • Interpret and analyze satellite imagery for land use classification and change detection.
  • Utilize remote sensing software for processing and analyzing LULC data.
  • Apply remote sensing techniques to monitor and manage environmental impacts and land use changes.
  • Develop strategies for sustainable land management based on LULC analysis.

Course Outline

Module 1: Introduction to Remote Sensing

  • Definition and principles of remote sensing
  • Electromagnetic spectrum and remote sensing sensors
  • Types of remote sensing data (aerial imagery, satellite imagery)

Module 2: Image Processing Techniques

  • Image preprocessing (radiometric and geometric correction)
  • Image enhancement and visualization
  • Image classification (supervised and unsupervised)
  • Object-based image analysis (OBIA)

Module 3: Land Use and Land Cover Fundamentals

  • Definition and classification systems for LULC
  • Importance of LULC analysis
  • Challenges in LULC mapping

Module 4: Remote Sensing for LULC Analysis

  • Selecting appropriate remote sensing data
  • LULC classification using image analysis techniques
  • Accuracy assessment of LULC maps
  • Temporal analysis of LULC changes

Module 5: Applications of Remote Sensing in LULC Analysis

  • Deforestation monitoring
  • Urban expansion analysis
  • Agricultural land use assessment
  • Environmental impact assessment
  • Natural disaster monitoring

Prerequisites

No specific prerequisites required. This course is suitable for beginners and professionals alike.

Course Administration Details

Customized Training

This training can be tailored to your institution needs and delivered at a location of your choice upon request.

Requirements

Participants need to be proficient in English.

Training Fee

The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.

Certification

Upon successful completion of this course, participants will be issued with a certificate from Ideal Workplace Solutions certified by the National Industrial Training Authority (NITA) under License NO: NITA/TRN/2734.

Accommodation

Accommodation can be arranged upon request. Contact via email for reservations.

Payment

Payment should be made before the training starts, with proof of payment sent to outreach@idealworkplacesolutions.org.

For further inquiries, please contact us on details below:

Register for the Course

Select a date and location that works for you.

In-Person Training Schedules


January 2026
Date Days Venue Fee (VAT Incl.) Register
5 Jan - 9 Jan 2026 5 days Nairobi, Kenya KES 99,000 | USD 1,400 Enroll Now
5 Jan - 9 Jan 2026 5 days Cape Town, South Africa USD 3,500 Enroll Now
5 Jan - 9 Jan 2026 5 days Dubai, United Arabs Emirates USD 4,000 Enroll Now
5 Jan - 9 Jan 2026 5 days Zanzibar, Tanzania USD 2,200 Enroll Now
12 Jan - 16 Jan 2026 5 days Mombasa, Kenya KES 115,000 | USD 1,500 Enroll Now
12 Jan - 16 Jan 2026 5 days Kigali, Rwanda USD 1,800 Enroll Now
12 Jan - 16 Jan 2026 5 days Accra, Ghana USD 5,950 Enroll Now
12 Jan - 16 Jan 2026 5 days Kampala, Uganda USD 2,200 Enroll Now
19 Jan - 23 Jan 2026 5 days Dar es Salaam, Tanzania USD 2,000 Enroll Now
19 Jan - 23 Jan 2026 5 days Johannesburg, South Africa USD 3,100 Enroll Now
19 Jan - 23 Jan 2026 5 days Nakuru, Kenya KES 105,000 | USD 1,400 Enroll Now
19 Jan - 23 Jan 2026 5 days Dakar, Senegal USD 3,500 Enroll Now
26 Jan - 30 Jan 2026 5 days Pretoria, South Africa USD 3,100 Enroll Now
26 Jan - 30 Jan 2026 5 days Kisumu, Kenya KES 105,000 | USD 1,500 Enroll Now
26 Jan - 30 Jan 2026 5 days Naivasha, Kenya KES 105,000 | USD 1,400 Enroll Now
26 Jan - 30 Jan 2026 5 days Arusha, Tanzania USD 2,000 Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Nairobi, Kenya
Fee (VAT Incl.):
KES 99,000
USD 1,400
Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Cape Town, South Africa
Fee (VAT Incl.):
USD 3,500
Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Dubai, United Arabs Emirates
Fee (VAT Incl.):
USD 4,000
Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Zanzibar, Tanzania
Fee (VAT Incl.):
USD 2,200
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Mombasa, Kenya
Fee (VAT Incl.):
KES 115,000
USD 1,500
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Kigali, Rwanda
Fee (VAT Incl.):
USD 1,800
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Accra, Ghana
Fee (VAT Incl.):
USD 5,950
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Kampala, Uganda
Fee (VAT Incl.):
USD 2,200
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Dar es Salaam, Tanzania
Fee (VAT Incl.):
USD 2,000
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Johannesburg, South Africa
Fee (VAT Incl.):
USD 3,100
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Nakuru, Kenya
Fee (VAT Incl.):
KES 105,000
USD 1,400
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Dakar, Senegal
Fee (VAT Incl.):
USD 3,500
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Pretoria, South Africa
Fee (VAT Incl.):
USD 3,100
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Kisumu, Kenya
Fee (VAT Incl.):
KES 105,000
USD 1,500
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Naivasha, Kenya
Fee (VAT Incl.):
KES 105,000
USD 1,400
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Arusha, Tanzania
Fee (VAT Incl.):
USD 2,000
Enroll Now

Request Custom Training


We offer customized training solutions tailored to your organization's specific needs:

  • Training at your preferred location
  • Customized content to address your specific challenges
  • Flexible scheduling to accommodate your team
  • Cost-effective solution for training multiple employees
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Frequently Asked Questions

Find answers to common questions about this course

The goal is to equip you with the skills to use remote sensing for land use and land cover analysis. You'll learn to classify satellite imagery to map urban areas, forests, and agricultural lands to support environmental and planning decisions.
It's the use of sensors on satellites or aircraft to collect data about the Earth's surface. The training focuses on how this data can be used to identify and map different types of land cover, such as roads and buildings, and land use, such as commercial or residential.
You'll learn how to perform image classification, use vegetation indices, and conduct change detection analysis. The training emphasizes a hands-on approach to extracting meaningful information from data to support your work with a high degree of professionalism.
You'll learn to use these skills for applications like urban growth mapping, forest degradation monitoring, and agricultural land assessment. The training emphasizes how these tools provide a wide view of ecosystems that would be impossible to get on the ground.
It provides a cost-effective way to collect data over large areas and over long periods of time. This helps you to identify trends, monitor changes, and make data-driven decisions that are key for adaptability.
Training on Remote Sensing for Land Use and Land Cover Analysis

Next class starts 5 Jan 2026

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