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What You'll Learn

Master remote sensing for biodiversity conservation. Learn to monitor biodiversity, assess habitat changes, and support conservation efforts using satellite and aerial imagery.

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 10-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 Biodiversity Conservation - Course Cover Image
Duration 10 Days
Level Intermediate
Format In-Person

Course Overview

Featured

This course provides a comprehensive understanding of how remote sensing technologies can be applied to biodiversity conservation efforts. Participants will learn about various remote sensing techniques, data types, and analytical methods that are crucial for monitoring and managing biodiversity at different spatial and temporal scales. The course emphasizes practical skills in using satellite imagery, aerial photography, and drone-based data to assess and conserve biodiversity in diverse ecosystems. Participants will engage in hands-on activities and case studies that illustrate the integration of remote sensing into conservation planning and decision-making processes.

Course Duration

10 Days

Who Should Attend

  • Conservation biologists and ecologists
  • Environmental scientists and researchers
  • GIS and remote sensing professionals
  • Natural resource managers
  • Wildlife managers and park rangers
  • NGO staff working in environmental conservation
  • Graduate students in environmental science, ecology, or related fields
  • Government agencies involved in biodiversity monitoring and management

Course Impact

Organisational Impact

  • Strengthens capacity to monitor and conserve biodiversity using advanced geospatial technologies.

  • Enhances decision-making in conservation planning through reliable, large-scale biodiversity data.

  • Reduces costs and time of traditional field surveys by integrating satellite, drone, and aerial data.

  • Supports sustainable ecosystem management and reporting for conservation projects.

  • Builds institutional expertise to track habitat changes, species distribution, and ecosystem health.

Personal Impact

  • Equips participants with practical skills in applying remote sensing to biodiversity monitoring.

  • Expands career opportunities in conservation, environmental management, and research.

  • Builds confidence in integrating geospatial data into conservation planning and reporting.

  • Provides hands-on experience with remote sensing tools and case studies in diverse ecosystems.

  • Empowers participants to actively contribute to protecting biodiversity and natural resources.

Course Objectives

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

  • Understand the fundamental principles of remote sensing and its applications in biodiversity conservation.
  • Identify and acquire appropriate remote sensing data for biodiversity studies.
  • Analyze satellite and drone imagery to monitor habitat changes and species distribution.
  • Integrate remote sensing data with GIS for spatial analysis and conservation planning.
  • Apply remote sensing techniques to assess ecosystem health and detect environmental changes.
  • Utilize remote sensing tools to support conservation decision-making and policy formulation.
  • Evaluate the effectiveness of remote sensing in tracking biodiversity indicators and targets.
  • Implement case studies showcasing remote sensing applications in real-world conservation projects.
  • Communicate findings from remote sensing analyses to stakeholders and policymakers.
  • Develop strategies for advancing the use of remote sensing in biodiversity conservation initiatives.

Course Outline

Module 1: Introduction to Remote Sensing

  • Fundamentals of remote sensing
  • Types of remote sensing platforms (satellites, aircraft, drones)
  • Electromagnetic spectrum and image acquisition
  • Digital image processing basics

Module 2: Remote Sensing Data Acquisition and Preprocessing

  • Data sources and selection
  • Image preprocessing techniques (radiometric correction, atmospheric correction, geometric correction)
  • Image formats and software

Module 3: Image Interpretation and Analysis

  • Visual interpretation techniques
  • Digital image analysis methods (image classification, segmentation, change detection)
  • Object-based image analysis (OBIA)

Module 4: Remote Sensing for Habitat Assessment

  • Habitat mapping and classification
  • Land cover and land use change analysis
  • Vegetation indices and health assessment

Module 5: Remote Sensing for Species Distribution Modeling

  • Species distribution modeling approaches
  • Incorporating remote sensing data into species distribution models
  • Habitat suitability analysis

Module 6: Remote Sensing for Biodiversity Monitoring

  • Biodiversity indicators and metrics
  • Long-term biodiversity monitoring using remote sensing
  • Assessing the impact of human activities on biodiversity

Module 7: Remote Sensing for Conservation Planning

  • Protected area monitoring and management
  • Habitat restoration and conservation planning
  • Ecosystem services assessment

Module 8: Advanced Remote Sensing Techniques

  • Hyperspectral imaging
  • Lidar (Light Detection and Ranging)
  • Radar remote sensing

Module 9: Remote Sensing and Citizen Science

  • Engaging citizen scientists in data collection and analysis
  • Crowd-sourced biodiversity monitoring using mobile devices and remote sensing

Module 10: Case Studies in Remote Sensing for Biodiversity Conservation

  • Real-world examples of remote sensing applications
  • Challenges and opportunities in biodiversity conservation using remote sensing

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 - 16 Jan 2026 10 days Nairobi, Kenya KES 198,000 | USD 2,800 Enroll Now
5 Jan - 16 Jan 2026 10 days Cape Town, South Africa USD 7,500 Enroll Now
5 Jan - 16 Jan 2026 10 days Dubai, United Arabs Emirates USD 8,000 Enroll Now
5 Jan - 16 Jan 2026 10 days Zanzibar, Tanzania USD 4,400 Enroll Now
12 Jan - 23 Jan 2026 10 days Mombasa, Kenya KES 230,000 | USD 3,000 Enroll Now
12 Jan - 23 Jan 2026 10 days Kigali, Rwanda USD 3,800 Enroll Now
12 Jan - 23 Jan 2026 10 days Accra, Ghana USD 7,200 Enroll Now
12 Jan - 23 Jan 2026 10 days Kampala, Uganda USD 3,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dar es Salaam, Tanzania USD 4,300 Enroll Now
19 Jan - 30 Jan 2026 10 days Johannesburg, South Africa USD 6,500 Enroll Now
19 Jan - 30 Jan 2026 10 days Nakuru, Kenya KES 210,000 | USD 2,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dakar, Senegal USD 6,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Pretoria, South Africa USD 6,300 Enroll Now
26 Jan - 6 Feb 2026 10 days Kisumu, Kenya KES 210,000 | USD 3,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Naivasha, Kenya KES 210,000 | USD 2,800 Enroll Now
26 Jan - 6 Feb 2026 10 days Arusha, Tanzania USD 4,300 Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Nairobi, Kenya
Fee (VAT Incl.):
KES 198,000
USD 2,800
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Cape Town, South Africa
Fee (VAT Incl.):
USD 7,500
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Dubai, United Arabs Emirates
Fee (VAT Incl.):
USD 8,000
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Zanzibar, Tanzania
Fee (VAT Incl.):
USD 4,400
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Mombasa, Kenya
Fee (VAT Incl.):
KES 230,000
USD 3,000
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kigali, Rwanda
Fee (VAT Incl.):
USD 3,800
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Accra, Ghana
Fee (VAT Incl.):
USD 7,200
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kampala, Uganda
Fee (VAT Incl.):
USD 3,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dar es Salaam, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Johannesburg, South Africa
Fee (VAT Incl.):
USD 6,500
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Nakuru, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dakar, Senegal
Fee (VAT Incl.):
USD 6,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Pretoria, South Africa
Fee (VAT Incl.):
USD 6,300
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Kisumu, Kenya
Fee (VAT Incl.):
KES 210,000
USD 3,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Naivasha, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Arusha, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now

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  • Training at your preferred location
  • Customized content to address your specific challenges
  • Flexible scheduling to accommodate your team
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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 biodiversity conservation. You'll learn to use satellite and drone imagery to monitor habitats, track species, and protect ecosystems from environmental threats.
It's the use of sensors on satellites or drones to collect data about ecosystems without being on the ground. The training focuses on how this data can be used to assess habitat health, monitor land cover change, and support conservation efforts.
You'll learn how to analyze satellite imagery to map land cover, identify habitat loss, and assess forest health. The training focuses on extracting meaningful information from data to support your conservation work with a high degree of professionalism.
You'll learn to use remote sensing for applications like tracking deforestation, monitoring invasive species, and identifying wildlife corridors. The training emphasizes how these tools provide a wide view of ecosystems that would be impossible to get on the ground.
It allows you to monitor vast, remote areas. This helps you detect illegal activities like poaching or logging in real-time and make data-driven decisions to prioritize where to deploy your limited resources, which is key for adaptability.
Training on Remote Sensing for Biodiversity Conservation

Next class starts 5 Jan 2026

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