E
Emilio Chuvieco
Researcher at University of Alcalá
Publications - 244
Citations - 15635
Emilio Chuvieco is an academic researcher from University of Alcalá. The author has contributed to research in topics: Vegetation & Fire regime. The author has an hindex of 66, co-authored 224 publications receiving 12986 citations. Previous affiliations of Emilio Chuvieco include Spanish National Research Council & University of the Basque Country.
Papers
More filters
Journal ArticleDOI
Assessment of different topographic corrections in Landsat-TM data for mapping vegetation types (2003)
TL;DR: Different methods for topographic correction of Landsat Thematic Mapper images have been assessed in the context of mapping vegetation types, with the best results obtained with a variation of the C method, which takes into account the overcorrection of low illuminated slopes by the original C method.
Journal ArticleDOI
Development of a framework for fire risk assessment using remote sensing and geographic information system technologies
Emilio Chuvieco,Inmaculada Aguado,Marta Yebra,Hector Nieto,Javier Salas,M. Pilar Martín,M. Pilar Martín,Lara Vilar,Javier Martínez,Susana Ramírez Martín,Paloma Ibarra,Juan de la Riva,Jaime Baeza,Francisco Rodríguez,Juan Ramón Molina,Miguel Ángel Herrera,Ricardo Zamora +16 more
TL;DR: In this article, the authors present the methods to generate the input variables and the risk integration developed within the Firemap project (funded under the Spanish Ministry of Science and Technology) to map wildland fire risk for several regions of Spain.
Journal ArticleDOI
Human-caused wildfire risk rating for prevention planning in Spain.
TL;DR: The model can be considered a good predictor of human-caused fire risk, aiding spatial decisions related to prevention planning in Spanish municipalities.
Journal ArticleDOI
Application of remote sensing and geographic information systems to forest fire hazard mapping.
TL;DR: In this article, the authors used Thematic Mapper data and other layers of geographic information to derive a forest fire hazard map, and compared the predicted hazard and the actual burned area.
Journal ArticleDOI
Assessment of different spectral indices in the red-near-infrared spectral domain for burned land discrimination
TL;DR: In this article, a new spectral index named Burned Area Index (BAI) was designed for burned land discrimination in the red-near-infrared spectral domain, which was tested on multitemporal sets of Landsat Thematic Mapper and NOAA Advanced Very High Resolution Radiometer (AVHRR) images.