Characterization of forest fuels is a key component of the successful implementation of any fire management system. Great advances have been made in the characterization of forest cover b… Más…
Characterization of forest fuels is a key component of the successful implementation of any fire management system. Great advances have been made in the characterization of forest cover by the use of remote sensing technology. Characterization of understory fuels, however, has been limited always by the difficulty of current remote sensing products to observe through the canopy. This limitation underscores the importance of exploring approaches related to site environment characteristics that can influence the production and accumulation of understory fuels. This work explores the relationships between topography, fire history, vegetation type and downed woody fuel loadings in the forested area of the Rincon Mountains in southern Arizona. The Classification and Regression Trees method is used to predict fuel loads through the influence of predictor variables. Results show that fine woody fuel loads tend to be explained by vegetation type and slope, while coarse woody fuels are predicted best by differences in elevation. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Geowissenschaften / Geografie, [PU: VDM Verlag Dr. Müller, Saarbrücken]<
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Characterization of forest fuels is a key component of the successful implementation of any fire management system. Great advances have been made in the characterization of forest cove… Más…
Characterization of forest fuels is a key component of the successful implementation of any fire management system. Great advances have been made in the characterization of forest cover by the use of remote sensing technology. Characterization of understory fuels, however, has been limited always by the difficulty of current remote sensing products to observe through the canopy. This limitation underscores the importance of exploring approaches related to site environment characteristics that can influence the production and accumulation of understory fuels. This work explores the relationships between topography, fire history, vegetation type and downed woody fuel loadings in the forested area of the Rincon Mountains in southern Arizona. The Classification and Regression Trees method is used to predict fuel loads through the influence of predictor variables. Results show that fine woody fuel loads tend to be explained by vegetation type and slope, while coarse woody fuels are predicted best by differences in elevation. Livre - Livre, [PU: VDM Verlag Dr. Müller, Saarbrücken]<
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*SPATIAL AND STATISTICAL CHARACTERIZATION OF FOREST FUELS DISTRIBUTION* - Regression trees analysis of downed woody fuels in the Rincon Mountains Arizona / Taschenbuch für 48.99 € / Aus d… Más…
*SPATIAL AND STATISTICAL CHARACTERIZATION OF FOREST FUELS DISTRIBUTION* - Regression trees analysis of downed woody fuels in the Rincon Mountains Arizona / Taschenbuch für 48.99 € / Aus dem Bereich: Bücher, Wissenschaft, Geowissenschaft Medien > Bücher nein Buch (kartoniert) Hardcover;Naturwissenschaften, Medizin, Informatik, Technik;Geografie, VDM Verlag Dr. Müller<
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Fnac.com : Livraison gratuite et - 5% sur tous les livres. SPATIAL AND STATISTICAL CHARACTERIZATION OF FOREST FUELS DISTRIBUTION - Livre. Découvrez des nouveautés, des coups de cœur, des … Más…
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Sanchez Flores, Erick: SPATIAL AND STATISTICAL CHARACTERIZATION OF FOREST FUELS DISTRIBUTION Regression trees analysis of downed woody fuels in the Rincon Mountains, Arizona - libro nuevo
Characterization of forest fuels is a key component of the successful implementation of any fire management system. Great advances have been made in the characterization of forest cover b… Más…
Characterization of forest fuels is a key component of the successful implementation of any fire management system. Great advances have been made in the characterization of forest cover by the use of remote sensing technology. Characterization of understory fuels, however, has been limited always by the difficulty of current remote sensing products to observe through the canopy. This limitation underscores the importance of exploring approaches related to site environment characteristics that can influence the production and accumulation of understory fuels. This work explores the relationships between topography, fire history, vegetation type and downed woody fuel loadings in the forested area of the Rincon Mountains in southern Arizona. The Classification and Regression Trees method is used to predict fuel loads through the influence of predictor variables. Results show that fine woody fuel loads tend to be explained by vegetation type and slope, while coarse woody fuels are predicted best by differences in elevation. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Geowissenschaften / Geografie, [PU: VDM Verlag Dr. Müller, Saarbrücken]<
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Characterization of forest fuels is a key component of the successful implementation of any fire management system. Great advances have been made in the characterization of forest cove… Más…
Characterization of forest fuels is a key component of the successful implementation of any fire management system. Great advances have been made in the characterization of forest cover by the use of remote sensing technology. Characterization of understory fuels, however, has been limited always by the difficulty of current remote sensing products to observe through the canopy. This limitation underscores the importance of exploring approaches related to site environment characteristics that can influence the production and accumulation of understory fuels. This work explores the relationships between topography, fire history, vegetation type and downed woody fuel loadings in the forested area of the Rincon Mountains in southern Arizona. The Classification and Regression Trees method is used to predict fuel loads through the influence of predictor variables. Results show that fine woody fuel loads tend to be explained by vegetation type and slope, while coarse woody fuels are predicted best by differences in elevation. Livre - Livre, [PU: VDM Verlag Dr. Müller, Saarbrücken]<
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*SPATIAL AND STATISTICAL CHARACTERIZATION OF FOREST FUELS DISTRIBUTION* - Regression trees analysis of downed woody fuels in the Rincon Mountains Arizona / Taschenbuch für 48.99 € / Aus d… Más…
*SPATIAL AND STATISTICAL CHARACTERIZATION OF FOREST FUELS DISTRIBUTION* - Regression trees analysis of downed woody fuels in the Rincon Mountains Arizona / Taschenbuch für 48.99 € / Aus dem Bereich: Bücher, Wissenschaft, Geowissenschaft Medien > Bücher nein Buch (kartoniert) Hardcover;Naturwissenschaften, Medizin, Informatik, Technik;Geografie, VDM Verlag Dr. Müller<
Gastos de envío:Shipping in 1-2 weeks, , Versandkostenfrei nach Hause oder Express-Lieferung in Ihre Buchhandlung., DE. (EUR 0.00)
Fnac.com : Livraison gratuite et - 5% sur tous les livres. SPATIAL AND STATISTICAL CHARACTERIZATION OF FOREST FUELS DISTRIBUTION - Livre. Découvrez des nouveautés, des coups de cœur, des … Más…
Fnac.com : Livraison gratuite et - 5% sur tous les livres. SPATIAL AND STATISTICAL CHARACTERIZATION OF FOREST FUELS DISTRIBUTION - Livre. Découvrez des nouveautés, des coups de cœur, des avis d'internautes, … Livre - Livre, [PU: VDM Verlag Dr. Müller, Saarbrücken]<
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Sanchez Flores, Erick: SPATIAL AND STATISTICAL CHARACTERIZATION OF FOREST FUELS DISTRIBUTION Regression trees analysis of downed woody fuels in the Rincon Mountains, Arizona - libro nuevo
1Dado que algunas plataformas no nos comunican las condiciones de envío y éstas pueden depender del país de entrega, del precio de compra, del peso y tamaño del artículo, de una posible membresía a la plataforma, de una entrega directa por parte de la plataforma o a través de un tercero (Marketplace), etc., es posible que los gastos de envío indicados por eurolibro/terralibro no concuerden con los de la plataforma ofertante.
Characterization of forest fuels is a key component of the successful implementation of any fire management system. Great advances have been made in the characterization of forest cover by the use of remote sensing technology. Characterization of understory fuels, however, has been limited always by the difficulty of current remote sensing products to observe through the canopy. This limitation underscores the importance of exploring approaches related to site environment characteristics that can influence the production and accumulation of understory fuels. This work explores the relationships between topography, fire history, vegetation type and downed woody fuel loadings in the forested area of the Rincon Mountains in southern Arizona. The Classification and Regression Trees method is used to predict fuel loads through the influence of predictor variables. Results show that fine woody fuel loads tend to be explained by vegetation type and slope, while coarse woody fuels are predicted best by differences in elevation.
Detalles del libro - SPATIAL AND STATISTICAL CHARACTERIZATION OF FOREST FUELS DISTRIBUTION
EAN (ISBN-13): 9783639221909 ISBN (ISBN-10): 3639221907 Tapa dura Tapa blanda Año de publicación: 2009 Editorial: VDM Verlag Dr. Müller 116 Páginas Peso: 0,189 kg Idioma: eng/Englisch
Libro en la base de datos desde 2007-12-09T16:01:56-06:00 (Mexico City) Página de detalles modificada por última vez el 2024-01-09T09:25:36-06:00 (Mexico City) ISBN/EAN: 3639221907
ISBN - escritura alterna: 3-639-22190-7, 978-3-639-22190-9 Mode alterno de escritura y términos de búsqueda relacionados: Autor del libro: sanchez flores erick Título del libro: forest, mountains, sanchez, trees
