Predictive Understanding of Links Between Vegetation and Soil Burn Severities Using Physics‐Informed Machine Learning

Predictive Understanding of Links Between Vegetation and Soil Burn Severities Using Physics‐Informed Machine Learning

Abstract Burn severity is fundamental to post‐fire impact assessment and emergency response. Vegetation Burn Severity (VBS) can be derived from satellite observations. However, Soil Burn Severity (SBS) assessment—critical for mitigating hydrologic and geologic hazards—requires costly and laborious f...

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Bibliographic Details
Main Authors: Seyd Teymoor Seydi, John T. Abatzoglou, Amir AghaKouchak, Yavar Pourmohamad, Ashok Mishra, Mojtaba Sadegh
Format: Article
Language:English
Published: Wiley 2024-08-01
Series:Earth's Future
Subjects:
machine learning
explainable AI
wildfire
burn severity
forest
soil
Online Access:https://doi.org/10.1029/2024EF004873
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