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SPATIAL AND STATISTICAL CHARACTERIZATION OF FOREST FUELS DISTRIBUTION: Regression trees analysis of downed woody fuels in the Rincon Mountains, Arizona - Erick Sanchez Flores
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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

ISBN: 3639221907

Paperback, [EAN: 9783639221909], VDM Verlag Dr. Müller, VDM Verlag Dr. Müller, Book, [PU: VDM Verlag Dr. Müller], VDM Verlag Dr. Müller, 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., 15959301, Regional, 13602, Geography, 13592, Earth Sciences, 75, Science & Math, 1000, Subjects, 283155, Books, 491730, Earth Sciences, 468216, Science & Mathematics, 465600, New, Used & Rental Textbooks, 2349030011, Specialty Boutique, 283155, Books

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SPATIAL AND STATISTICAL CHARACTERIZATION OF FOREST FUELS DISTRIBUTION - Regression trees analysis of downed woody fuels in the Rincon Mountains, Arizona - Sanchez Flores, Erick
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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 - Taschenbuch

2009, ISBN: 9783639221909

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], 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., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 116, [GW: 165g], Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung, Internationaler Versand

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Spatial and Statistical Characterization of Forest Fuels Distribution (Paperback) - Erick Sanchez Flores
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Erick Sanchez Flores:
Spatial and Statistical Characterization of Forest Fuels Distribution (Paperback) - Taschenbuch

2009, ISBN: 3639221907

ID: 20043604645

[EAN: 9783639221909], Neubuch, [PU: VDM Verlag, Germany], Language: English . Brand New Book. 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.

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SPATIAL AND STATISTICAL CHARACTERIZATION OF FOREST FUELS DISTRIBUTION - Erick Sanchez Flores
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Erick Sanchez Flores:
SPATIAL AND STATISTICAL CHARACTERIZATION OF FOREST FUELS DISTRIBUTION - Taschenbuch

2009, ISBN: 3639221907

ID: 20025086958

[EAN: 9783639221909], Neubuch, [PU: VDM Verlag Dez 2009], Neuware - 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. 116 pp. Englisch

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SPATIAL AND STATISTICAL CHARACTERIZATION OF FOREST FUELS DISTRIBUTION: Regression trees analysis of downed woody fuels in the Rincon Mountains, Arizona - Erick Sanchez Flores
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Erick Sanchez Flores:
SPATIAL AND STATISTICAL CHARACTERIZATION OF FOREST FUELS DISTRIBUTION: Regression trees analysis of downed woody fuels in the Rincon Mountains, Arizona - Taschenbuch

2009, ISBN: 3639221907

Paperback, [EAN: 9783639221909], VDM Verlag Dr. Müller, VDM Verlag Dr. Müller, Book, [PU: VDM Verlag Dr. Müller], 2009-12-08, VDM Verlag Dr. Müller, 923004, Higher Education, 922234, Education, 278028, Earth Sciences & Geography, 57, Science & Nature, 1025612, Subjects, 266239, Books, 278057, Geography, 278059, Cartography, Geodesy & Geographic Information Systems, 278066, Discovery & Exploration, 496656, Economic, 772194, History, 278074, Physical, 276829, Reference, 278028, Earth Sciences & Geography, 57, Science & Nature, 1025612, Subjects, 266239, Books

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SPATIAL AND STATISTICAL CHARACTERIZATION OF FOREST FUELS DISTRIBUTION

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.

Detailangaben zum Buch - SPATIAL AND STATISTICAL CHARACTERIZATION OF FOREST FUELS DISTRIBUTION


EAN (ISBN-13): 9783639221909
ISBN (ISBN-10): 3639221907
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2009
Herausgeber: VDM Verlag
116 Seiten
Gewicht: 0,189 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 09.12.2007 23:01:56
Buch zuletzt gefunden am 09.11.2017 19:37:30
ISBN/EAN: 9783639221909

ISBN - alternative Schreibweisen:
3-639-22190-7, 978-3-639-22190-9


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