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

Training on Remote Sensing for Biodiversity Conservation

Course Overview

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 Level: Intermediate

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
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

A certificate from Ideal Workplace Solutions is awarded upon successful completion.

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 [email protected].
For further inquiries, please contact us on details below:

Email: [email protected]
Mobile: +254759708394

Register for the Course

Classroom Training Schedules


April 2025
Date Duration Venue Fee Enroll
7 Apr - 18 Apr 2025 10 days Kisumu, Kenya KES 160,000 | USD 2,000 Register
14 Apr - 25 Apr 2025 10 days Nakuru, Kenya KES 160,000 | USD 2,000 Register
21 Apr - 2 May 2025 10 days Nairobi, Kenya KES 160,000 | USD 2,000 Register
21 Apr - 2 May 2025 10 days Mombasa, Kenya KES 160,000 | USD 2,000 Register
14 Apr - 18 Apr 2025 5 days Kigali, Rwanda USD 1,400 Register
May 2025
Date Duration Venue Fee Enroll
5 May - 16 May 2025 10 days Kisumu, Kenya KES 160,000 | USD 2,000 Register
12 May - 23 May 2025 10 days Nakuru, Kenya KES 160,000 | USD 2,000 Register
19 May - 30 May 2025 10 days Nairobi, Kenya KES 160,000 | USD 2,000 Register
19 May - 30 May 2025 10 days Mombasa, Kenya KES 160,000 | USD 2,000 Register
5 May - 9 May 2025 5 days Kigali, Rwanda USD 1,400 Register

Online Training Schedules


April 2025
Date Duration Session Fee Enroll
14 Apr - 25 Apr 2025 10 days Full-day KES 110,000 | USD 1,100 Register
May 2025
Date Duration Session Fee Enroll
12 May - 23 May 2025 10 days Full-day KES 110,000 | USD 1,100 Register
For customized training dates or further enquiries, kindly contact us on +254759708394 or email us at [email protected].

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