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Investigating Live Fuel Moisture Content Estimation in Fire-Prone Shrubland from Remote Sensing Using Empirical Modelling and RTM Simulations

Previous research has demonstrated that remote sensing can provide spectral information related to vegetation moisture variations essential for estimating live fuel moisture content (LFMC), but accuracy and timeliness still present challenges to using this information operationally. Consequently, ma...

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Principais autores: Eva Marino, Marta Yebra, Mariluz Guillén-Climent, Nur Algeet, José Luis Tomé, Javier Madrigal, Mercedes Guijarro, Carmen Hernando
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2020-07-01
coleção:Remote Sensing
Assuntos:
satellite imagery
live fuel moisture content
Sentinel-2
MODIS
radiative transfer model
wildfire
Acesso em linha:https://www.mdpi.com/2072-4292/12/14/2251
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