Fire models and methods to map fuel types: The role of remote sensing.

Arroyo Méndez, Lara Ainoa; Pascual Castaño, Isabel Cristina y Manzanera de la Vega, José Antonio (2008). Fire models and methods to map fuel types: The role of remote sensing.. "Forest Ecology and Management", v. 256 (n. 6); pp. 1239-1252. ISSN 0378-1127. https://doi.org/10.1016/j.foreco.2008.06.048.

Descripción

Título: Fire models and methods to map fuel types: The role of remote sensing.
Autor/es:
  • Arroyo Méndez, Lara Ainoa
  • Pascual Castaño, Isabel Cristina
  • Manzanera de la Vega, José Antonio
Tipo de Documento: Artículo
Título de Revista/Publicación: Forest Ecology and Management
Fecha: Septiembre 2008
Volumen: 256
Materias:
Palabras Clave Informales: Forest fuels, Fuel mapping, Remote sensing, Fuel type, Fuel management.
Escuela: E.T.S.I. Montes (UPM) [antigua denominación]
Departamento: Ingeniería Forestal [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Understanding fire is essential to improving forest management strategies. More specifically, an accurate knowledge of the spatial distribution of fuels is critical when analyzing, modelling and predicting fire behaviour. First, we review the main concepts and terminology associated with forest fuels and a number of fuel type classifications. Second, we summarize the main techniques employed to map fuel types starting with the most traditional approaches, such as field work, aerial photo interpretation or ecological modelling. We pay special attention to more contemporary techniques, which involve the use of remote sensing systems. In general, remote sensing systems are low-priced, can be regularly updated and are less time-consuming than traditional methods, but they are still facing important limitations. Recent work has shown that the integration of different sources of information andmethods in a complementary way helps to overcome most of these limitations. Further research is encouraged to develop novel and enhanced remote sensing techniques.

Más información

ID de Registro: 2128
Identificador DC: http://oa.upm.es/2128/
Identificador OAI: oai:oa.upm.es:2128
Identificador DOI: 10.1016/j.foreco.2008.06.048
URL Oficial: http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%235042%232008%23997439993%23696542%23FLA%23&_cdi=5042&_pubType=J&_auth=y&_acct=C000047350&_version=1&_urlVersion=0&_userid=885385&md5=962806c27dab95a28dd3c73045ae92f4
Depositado por: Memoria Investigacion
Depositado el: 29 Abr 2010 10:50
Ultima Modificación: 25 May 2015 14:08
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