LidarBook

led by Cesar Alvites

Wall-to-wall forest biomass estimation using Google Earth Engine

ForestSAT2026 Workshop Series

Description

Forest biomass is a key indicator for estimating forest carbon stocks. Biomass maps help identify carbon pools, explore carbon credit opportunities, and connect these insights to biodiversity conservation and protection.

Wall-to-wall mapping uses reference biomass data to produce a continuous, full-coverage biomass map across forested landscapes. This hands-on workshop teaches a well-documented wall-to-wall mapping workflow in Google Earth Engine (GEE). Through guided exercises, participants will learn how to prepare biomass reference data (GEDI L4A/L4B), generate a wall-to-wall biomass map, evaluate accuracy, interpret spatial patterns, and download final outputs.

By the end, participants will have practical skills that can be applied to ecological monitoring and resource management.

Learning objectives

This course is supported by step-by-step tutorials and example materials to guide participants through in-depth analysis.

Target audience

Students, researchers, and professionals in forestry, ecology, remote sensing, or environmental sciences interested in scalable tools for forest monitoring. Basic GEE coding knowledge is recommended.

Format & activities

Expected outcomes

Language & requirements

Schedule

January 14, 9:00 AM – 2:00 PM (EST)

Workshop lessons

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Cesar Alvites

Cesar Alvites

School of Forest, Fisheries, and Geomatics Sciences, University of Florida
Gainesville, FL 32611, USA

OpenForest4D is a web-based platform providing tools and educational resources that support transformative research in forest science, ecosystem protection, and hazard mitigation. This work is supported by the U.S. National Science Foundation (NSF) under Awards #2409885, #2409886, and #2409887.