Remote Sensing and GIS for Climate Resilience and Carbon Stock Assessment Training Course

Introduction

Unlock the power of geospatial technologies in building climate resilience with the Remote Sensing and GIS for Climate Resilience and Carbon Stock Assessment Training Course. As climate change continues to disrupt ecosystems and economies, this course empowers professionals to leverage satellite data and GIS tools for climate risk assessment, adaptation planning, and monitoring carbon dynamics.

Participants will gain hands-on experience in processing climate-related remote sensing datasets, mapping carbon sinks, and integrating spatial tools for vulnerability and resilience analysis. With a focus on sustainable land use, emissions tracking, and ecosystem-based adaptation, this course supports evidence-based strategies to combat climate change impacts across regions.

Target Audience

• Climate Change Analysts and Environmental Scientists
• GIS and Remote Sensing Professionals
• Forestry and Natural Resource Managers
• Sustainability and Carbon Accounting Experts
• Disaster Risk Management and Adaptation Planners
• Researchers in Climate and Environmental Sciences
• Policy Makers and Program Designers in Climate Resilience

Duration

5 Days

Course Objectives

1. Understand the role of remote sensing and GIS in climate resilience and carbon monitoring
2. Analyze climate risks using geospatial datasets and vulnerability indices
3. Map carbon stocks and changes in land use and forest cover
4. Apply remote sensing techniques for drought, flood, and hazard monitoring
5. Integrate spatial data into national adaptation and mitigation plans
6. Use open-source tools for carbon accounting and GHG estimation
7. Develop spatial models for ecosystem-based adaptation planning
8. Design geospatial dashboards for climate data visualization and reporting

Course Content

Module 1: Fundamentals of Climate GIS and Remote Sensing

• Introduction to climate change indicators and spatial data needs
• Geospatial data sources for climate analysis (MODIS, Sentinel, Landsat)
• Temporal and spatial resolution in climate applications
• Overview of climate and carbon models
• Key policy frameworks and reporting protocols (UNFCCC, REDD+)

Module 2: Climate Risk Mapping and Vulnerability Assessment

• Identifying exposure, sensitivity, and adaptive capacity indicators
• Creating composite climate vulnerability indices
• Spatial analysis for hazard-prone areas
• Integration of socioeconomic and biophysical data
• Mapping climate resilience hotspots

Module 3: Remote Sensing of Forest Cover and Carbon Stocks

• Vegetation indices for biomass estimation
• Forest cover classification using satellite imagery
• Above-ground carbon stock assessment methodologies
• Change detection for deforestation and degradation
• Carbon sequestration monitoring techniques

Module 4: Monitoring Climate Hazards and Extreme Events

• Detecting droughts, floods, heatwaves and cyclones
• Use of MODIS and Sentinel-1 for hazard tracking
• Time-series analysis for event frequency and severity
• Impact assessment using before-and-after imagery
• Integrating early warning systems with geospatial tools

Module 5: Carbon Accounting and GHG Estimation

• IPCC guidelines for national greenhouse gas inventories
• Tier 1 and Tier 2 spatial methods for emission calculations
• Estimating emissions from land use and land cover changes
• Carbon budgeting tools and MRV systems
• Cloud-based platforms for carbon monitoring

Module 6: GIS for Ecosystem-Based Adaptation

• Identifying ecosystem services and natural buffers
• Habitat suitability and restoration mapping
• Watershed and coastal zone vulnerability modeling
• Green infrastructure and nature-based solutions
• Integration into climate adaptation policies

Module 7: Tools and Platforms for Climate Spatial Analysis

• Working with Google Earth Engine and QGIS
• Automating workflows with Python and R
• Accessing and processing climate datasets (NASA, Copernicus)
• Developing custom applications for climate monitoring
• Collaborative mapping and data sharing platforms

Module 8: Climate Innovation Lab and Capstone Project

• Select a climate challenge and develop a geospatial solution
• Acquire and process relevant climate and land data
• Build models to visualize climate impacts and resilience
• Present actionable insights and policy recommendations
• Peer reviews and course certification

General remarks

• Customizable courses are available to address the specific needs of your organization.
• The participant must be conversant in English
• Participants who successfully complete this course will receive a certificate of completion from Lenol Development Center.
• The course fee for onsite training includes facilitation training materials, tea break and lunch.
• Accommodation and airport pick up are made upon request
• For any inquiries reach us through info@lenoldevelopmentcenter.com or +254 710 314 746
• Payment should be made to our bank