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

Arroyo Méndez, Lara Ainoa and Pascual Castaño, Isabel Cristina and 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.

Description

Title: Fire models and methods to map fuel types: The role of remote sensing.
Author/s:
  • Arroyo Méndez, Lara Ainoa
  • Pascual Castaño, Isabel Cristina
  • Manzanera de la Vega, José Antonio
Item Type: Article
Título de Revista/Publicación: Forest Ecology and Management
Date: September 2008
ISSN: 0378-1127
Volume: 256
Subjects:
Freetext Keywords: Forest fuels, Fuel mapping, Remote sensing, Fuel type, Fuel management.
Faculty: E.T.S.I. Montes (UPM)
Department: Ingeniería Forestal [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (500kB) | Preview

Abstract

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.

  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM