Above Ground Biomass With GEDI

Source: GEDI Above Ground Biomass Density in the USA cloud free 2/07/2023. NASA EarthData.

Learning Objectives

• Evaluate GEDI’s biomass estimation methodology, including pre-launch calibration approaches, algorithm selection processes, and uncertainty quantification methods
• Apply appropriate filtering strategies and quality assessment techniques to GEDI L4A and L4B products for different research applications and ecosystem types
• Analyze biomass patterns across spatial scales using both footprint-level (L4A) and gridded (L4B) products, interpreting results within ecological and policy contexts
• Compare GEDI biomass estimates with other global biomass products and integrate GEDI data into ensemble monitoring approaches for carbon accounting.

Modules and Topics Overview

1. Biomass Fundamentals & GEDI Overview
   1. What is biomass and why it matters for climate
   2. Ecosystem variation (forests, grasslands, wetlands)
   3. Policy applications (REDD+, Paris Agreement)
   4. Remote sensing approaches (optical, SAR, LiDAR)
   5. GEDI’s unique contribution to biomass monitoring
   6. L4A vs L4B product selection guidance
2. GEDI Biomass Methodology
   1. Pre-launch calibration with field data
   2. Algorithm groups and selection logic
   3. Input data requirements
   4. Statistical framework
   5. Uncertainty quantification and bias correction
3. L4A & L4B Product Deep Dive
   1. Product specifications and file structure
   2. Essential variables and variable selection decision tree
   3. Geolocation and land cover context variables
   4. Technical variables for algorithm research
   5. Filtering strategies and quality control
   6. Analysis workflows
4. Data Access & Processing
   1. NASA Earthdata and ORNL DAAC portals
   2. Google Earth Engine access
   3. File naming conventions
   4. Cloud-optimized format
   5. Download and preprocessing workflows
5. Practical Applications
   1. Forest carbon mapping workflows
   2. Change detection methodologies
   3. Integration with field data and other sensors
   4. AOI analysis
   5. SERVIR Carbon Pilot (S-CAP) ensemble approach

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Table of contents

• GEDI’s Biomass Estimation Approach
• Biomass Estimations Tutorial