Evaluating Burn Severity and Post-Fire Woody Vegetation Regrowth in the Kalahari Using UAV Imagery and Random Forest Algorithms

Evaluating Burn Severity and Post-Fire Woody Vegetation Regrowth in the Kalahari Using UAV Imagery and Random Forest Algorithms

Accurate burn severity mapping is essential for understanding the impacts of wildfires on vegetation dynamics in arid savannas. The frequent wildfires in these biomes often cause topkill, where the vegetation experiences above-ground combustion but the below-ground root structures survive, allowing...

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Bibliographic Details
Main Authors: Madeleine Gillespie, Gregory S. Okin, Thoralf Meyer, Francisco Ochoa
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Remote Sensing
Subjects:
Random Forest
burn severity
UAV
Kalahari
remote sensing
savanna
Online Access:https://www.mdpi.com/2072-4292/16/21/3943
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