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Documentation Videos

Across these videos, we will explore the processes, methodologies, and data sources used to develop the SE Firemap. Whether you're interested in the mapping technologies or the decision-making processes that shaped the tool, these videos will guide you through the key aspects of the SE FireMap's development.

Visit the Technical Documentation Video Series on the Landscape Partnership Learning Network for more information.

Southeast (SE) FireMap Overview

Southeast (SE) FireMap Overview

Holly Nowell, director of the Smoke Science Program at Tall Timbers introduces The Southeast FireMap as a project developed to address the critical need for tracking fire patterns across southeastern U.S. lands, where fire is essential for ecosystem health and fire-dependent species. This video walks through phase one of the project and details the findings that Landsat burned area products would be most suitable for creating a comprehensive fire mapping system, which will help quantify the value and track the implementation of prescribed burning practices that are common but poorly documented across the Southeast.

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Southeast (SE) FireMap Fire History Metrics

Southeast (SE) FireMap Fire History Metrics

Holly Nowell, director of the Smoke Science Program at Tall Timbers discusses the fire history metrics included in the Southeast FireMap. This video explains how condensing the annual burned area products into smaller data layers provides more digestible and usable information for land managers, and outlines the suite of fire history metrics included in the product.

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Southeast (SE) FireMap Landsat Burned Area

Southeast (SE) FireMap Landsat Burned Area

Chris Matechik, a remote sensing analyst from Tall Timbers, provides background on the Landsat burned area products and how they were developed to be collected consistently over space and time with fine spatial resolution. This video explains how the Landsat algorithm functions, how the burned areas are mapped, and what makes the data more comprehensive than alternative datasets. 

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