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… Meer...
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… Meer...
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… Meer...
*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 … Meer...
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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 - nieuw boek
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… Meer...
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… Meer...
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… Meer...
*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 … Meer...
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 - nieuw boek
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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 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.
Gedetalleerde informatie over het boek. - SPATIAL AND STATISTICAL CHARACTERIZATION OF FOREST FUELS DISTRIBUTION
EAN (ISBN-13): 9783639221909 ISBN (ISBN-10): 3639221907 Gebonden uitgave pocket book Verschijningsjaar: 2009 Uitgever: VDM Verlag Dr. Müller 116 Bladzijden Gewicht: 0,189 kg Taal: eng/Englisch
Boek bevindt zich in het datenbestand sinds 2007-12-09T23:01:56+01:00 (Amsterdam) Detailpagina laatst gewijzigd op 2024-01-09T16:25:36+01:00 (Amsterdam) ISBN/EAN: 3639221907
ISBN - alternatieve schrijfwijzen: 3-639-22190-7, 978-3-639-22190-9 alternatieve schrijfwijzen en verwante zoekwoorden: Auteur van het boek: sanchez flores erick Titel van het boek: forest, mountains, sanchez, trees
