Earth Observation for Monitoring Global Biodiversity Framework Targets Course

Course Introduction

 

Biodiversity is under unprecedented pressure from human activity, climate change, and land-use transformation. The Kunming-Montreal Global Biodiversity Framework (GBF) has set ambitious targets for conservation, restoration, and sustainable use of biodiversity. Achieving these requires robust monitoring systems that can provide consistent, accurate, and actionable data.

 

Earth Observation (EO) technologies, including satellite remote sensing, aerial systems, and geospatial analytics, provide essential tools for biodiversity monitoring at multiple scales. They support the measurement of ecosystem integrity, species distribution, land use change, and conservation outcomes aligned with GBF targets.

 

This course is designed to provide participants with practical skills and theoretical knowledge in applying EO technologies to track, evaluate, and report progress toward global biodiversity commitments. It bridges science, technology, and policy, ensuring that participants are equipped to deliver data-driven insights.

 

The training explores applications of EO in habitat mapping, restoration tracking, invasive species monitoring, and ecosystem service assessment. Participants will gain hands-on experience with real-world biodiversity datasets and learn to integrate them with decision-making frameworks.

 

In addition, the course emphasizes the policy dimension, focusing on how geospatial evidence can guide national biodiversity strategies, inform reporting to the Convention on Biological Diversity (CBD), and contribute to global conservation databases.

 

By the end of the course, learners will be equipped to design and apply EO-based solutions that directly support countries, organizations, and stakeholders in achieving the ambitious GBF targets while promoting sustainable biodiversity governance.

 

Who Should Attend

 

• Environmental scientists and biodiversity researchers
• GIS and remote sensing professionals in conservation projects
• Policymakers and government officers in biodiversity and environment agencies
• NGO staff working on conservation and sustainable development
• Professionals in global biodiversity monitoring initiatives
• Academics in ecology, conservation, and geospatial sciences
• Multilateral agency staff working on GBF implementation
• Environmental consultants and data analysts
• Protected area and ecosystem managers
• Sustainable development and natural resource advisors

 

Duration

 

10 days

 

Course Objectives

 

• Equip participants with EO skills to monitor and evaluate progress toward the Kunming-Montreal Global Biodiversity Framework targets.
• Provide hands-on training in using remote sensing for mapping ecosystems, habitats, and species distribution with accuracy and efficiency.
• Strengthen capacity to integrate EO data with biodiversity indicators for conservation planning and policy reporting.
• Enable participants to assess land-use change and its impacts on biodiversity using geospatial methods and multi-temporal datasets.
• Train learners to use EO to monitor habitat restoration efforts and evaluate their contribution to biodiversity goals.
• Build expertise in mapping and monitoring invasive species and their impacts on native ecosystems through remote sensing.
• Enhance skills in assessing ecosystem services such as carbon sequestration, water regulation, and habitat provision using EO.
• Support participants in using EO tools for reporting biodiversity commitments to international conventions like CBD.
• Provide frameworks to link geospatial data with national biodiversity strategies and action plans.
• Train learners to analyze and report progress on nature-positive transitions using EO-based approaches.
• Build expertise in applying artificial intelligence and machine learning with EO data for biodiversity monitoring.
• Foster skills in designing EO-based solutions that integrate policy, science, and technology for biodiversity governance.

 

Comprehensive Course Outline

 

Module 1: Introduction to Global Biodiversity Framework (GBF)

 

• Overview of Kunming-Montreal GBF targets
• Role of monitoring in biodiversity commitments
• Linking EO with biodiversity indicators
• Global data needs for conservation

 

Module 2: Fundamentals of Earth Observation for Biodiversity

 

• Principles of remote sensing in biodiversity monitoring
• Types of EO platforms and sensors
• Spatial and temporal resolution considerations
• Open-source EO tools for biodiversity

 

Module 3: Habitat and Ecosystem Mapping

 

• Mapping terrestrial ecosystems with EO
• Detecting habitat fragmentation
• Coastal and marine ecosystem monitoring
• Global habitat classification frameworks

 

Module 4: Land Use and Land Cover Change

 

• Tracking deforestation and afforestation
• Monitoring agricultural expansion impacts
• Urban encroachment and biodiversity
• Tools for long-term land cover analysis

 

Module 5: Species Distribution and Monitoring

 

• EO for species habitat suitability models
• Remote sensing for migratory species
• Detecting critical biodiversity hotspots
• Linking EO with ground-based species data

 

Module 6: Invasive Species Monitoring

 

• Detecting invasive vegetation with EO
• Tracking spread of invasive pests
• Case studies in EO-based invasive species control
• Integrating EO with management responses

 

Module 7: Restoration Monitoring and Assessment

 

• EO for forest and grassland restoration
• Monitoring mangrove and wetland recovery
• Evaluating ecosystem restoration success
• Tracking progress toward restoration targets

 

Module 8: Ecosystem Services Assessment

 

• EO for carbon sequestration mapping
• Monitoring water-related ecosystem services
• Habitat provision and connectivity assessment
• Valuing ecosystem services with EO

 

Module 9: Climate Change and Biodiversity Interactions

 

• EO for climate-biodiversity linkages
• Assessing climate-driven habitat change
• Monitoring ecosystem resilience under climate stress
• Adaptation strategies supported by EO

 

Module 10: Protected Areas and Conservation Monitoring

 

• EO for protected area effectiveness
• Tracking encroachment into conservation zones
• Monitoring connectivity of protected landscapes
• Assessing global protected area networks

 

Module 11: Policy and Biodiversity Reporting

 

• EO in reporting to CBD and GBF
• Integrating EO into national biodiversity strategies
• Indicators for SDGs and biodiversity links
• Aligning geospatial data with policy frameworks

 

Module 12: Data Integration and Interoperability

 

• Linking EO with in-situ biodiversity data
• Integrating multiple EO datasets
• Platforms for biodiversity data sharing
• Standards for geospatial data exchange

 

Module 13: Advanced Analytics in Biodiversity Monitoring

 

• AI and machine learning with EO biodiversity data
• Predictive models for biodiversity loss
• Big data analytics in conservation
• Future trends in EO biodiversity analysis

 

Module 14: Tools, Platforms, and Open Data

 

• Google Earth Engine for biodiversity monitoring
• Copernicus and NASA biodiversity data platforms
• Cloud computing for large EO datasets
• Open-access biodiversity databases

 

Module 15: Case Studies and Best Practices

 

• National EO biodiversity monitoring systems
• Regional collaborations in biodiversity tracking
• Private sector EO innovations in conservation
• Global best practices in EO-driven biodiversity initiatives

 

Module 16: Project and Future Directions

 

• Team project on EO for biodiversity monitoring
• Emerging technologies and innovations
• Scaling EO for national and global use
• Future of EO in biodiversity governance

 

 

 

 

 

 

 

Training Approach

 

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

 

Tailor-Made Course

 

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

 

Training Venue

 

The training will be held at our Upskill Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

 

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

 

Certification

 

Participants will be issued with Upskill certificate upon completion of this course.

 

Airport Pickup and Accommodation

 

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

 

Terms of Payment

 

Unless otherwise agreed between the two parties payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better