Isbn: 9783030331597 - remote sensing of plant biodiversity (12 risultati)

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  • Lingua: Inglese

    Editore: Springer, 2020

    3030331598 / 9783030331597

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    Condizione: New. In English.

  • Lingua: Inglese

    Editore: Springer 2020-09, 2020

    3030331598 / 9783030331597

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    Da: Chiron Media, Wallingford, Regno UnitoChiron Media

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  • Lingua: Inglese

    Editore: Springer, 2020

    3030331598 / 9783030331597

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    Condizione: New. pp. XXII, 581 130 illus., 110 illus. in color. 1 Edition NO-PA16APR2015-KAP.

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    Lingua: Inglese

    Editore: Springer International Publishing, 2020

    3030331598 / 9783030331597

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    Taschenbuch. Condizione: Neu. Remote Sensing of Plant Biodiversity | Jeannine Cavender-Bares (u. a.) | Taschenbuch | xxii | Englisch | 2020 | Springer International Publishing | EAN 9783030331597 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Lingua: Inglese

    Editore: Springer, 2020

    3030331598 / 9783030331597

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    Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books

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    Paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Lingua: Inglese

    Editore: Springer, 2020

    3030331598 / 9783030331597

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    Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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    Condizione: new. Questo è un articolo print on demand.

  • Lingua: Inglese

    Editore: Springer International Publishing Sep 2020, 2020

    3030331598 / 9783030331597

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This Open Access volume aims to methodologically improve our understanding of biodiversity by linking disciplines that incorporate remote sensing, and uniting data and perspectives in the fields of biology, landscape ecology, and geography. The book provides a framework for how biodiversity can be detected and evaluated-focusing particularly on plants-using proximal and remotely sensed hyperspectral data and other tools such as LiDAR. The volume, whose chapters bring together a large cross-section of the biodiversity community engaged in these methods, attempts to establish a common language across disciplines for understanding and implementing remote sensing of biodiversity across scales.The first part of the book offers a potential basis for remote detection of biodiversity. An overview of the nature of biodiversity is described, along with ways for determining traits of plant biodiversity through spectral analyses across spatial scales and linking spectral data to the tree of life. The second part details what can be detected spectrally and remotely. Specific instrumentation and technologies are described, as well as the technical challenges of detection and data synthesis, collection and processing. The third part discusses spatial resolution and integration across scales and ends with a vision for developing a global biodiversity monitoring system. Topics include spectral and functional variation across habitats and biomes, biodiversity variables for global scale assessment, and the prospects and pitfalls in remote sensing of biodiversity at the global scale. 608 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer, 2020

    3030331598 / 9783030331597

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    Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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    Condizione: New. Print on Demand pp. XXII, 581 130 illus., 110 illus. in color.

  • Lingua: Inglese

    Editore: Springer, 2020

    3030331598 / 9783030331597

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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    EUR 79,66

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    Condizione: New. PRINT ON DEMAND pp. XXII, 581 130 illus., 110 illus. in color.

  • Lingua: Inglese

    Editore: Springer International Publishing, 2020

    3030331598 / 9783030331597

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    Da: moluna, Greven, Germaniamoluna

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    Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Links remote sensing to physiological, ecological and evolutionary knowledge of plant biodiversityProvides a novel perspective and approach for linking hyperspectral data to phylogenetic information that underpins the tree of life&nbsp.

  • Lingua: Inglese

    Editore: Palgrave Macmillan, 2020

    3030331598 / 9783030331597

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This Open Access volume aims to methodologically improve our understanding of biodiversity by linking disciplines that incorporate remote sensing, and uniting data and perspectives in the fields of biology, landscape ecology, and geography. The book provides a framework for how biodiversity can be detected and evaluated-focusing particularly on plants-using proximal and remotely sensed hyperspectral data and other tools such as LiDAR. The volume, whose chapters bring together a large cross-section of the biodiversity community engaged in these methods, attempts to establish a common language across disciplines for understanding and implementing remote sensing of biodiversity across scales.The first part of the book offers a potential basis for remote detection of biodiversity. An overview of the nature of biodiversity is described, along with ways for determining traits of plant biodiversity through spectral analyses across spatial scales and linking spectral data to the tree of life. The second part details what can be detected spectrally and remotely. Specific instrumentation and technologies are described, as well as the technical challenges of detection and data synthesis, collection and processing. The third part discusses spatial resolution and integration across scales and ends with a vision for developing a global biodiversity monitoring system. Topics include spectral and functional variation across habitats and biomes, biodiversity variables for global scale assessment, and the prospects and pitfalls in remote sensing of biodiversity at the global scale.

  • Lingua: Inglese

    Editore: Springer International Publishing, Springer International Publishing Sep 2020, 2020

    3030331598 / 9783030331597

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    EUR 53,49

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This Open Access volume aims to methodologically improve our understanding of biodiversity by linking disciplines that incorporate remote sensing, and uniting data and perspectives in the fields of biology, landscape ecology, and geography. The book provides a framework for how biodiversity can be detected and evaluated¿focusing particularly on plants¿using proximal and remotely sensed hyperspectral data and other tools such as LiDAR. The volume, whose chapters bring together a large cross-section of the biodiversity community engaged in these methods, attempts to establish a common language across disciplines for understanding and implementing remote sensing of biodiversity across scales.The first part of the book offers a potential basis for remote detection of biodiversity. An overview of the nature of biodiversity is described, along with ways for determining traits of plant biodiversity through spectral analyses across spatial scales and linking spectral data to the tree of life. The second part details what can be detected spectrally and remotely. Specific instrumentation and technologies are described, as well as the technical challenges of detection and data synthesis, collection and processing. The third part discusses spatial resolution and integration across scales and ends with a vision for developing a global biodiversity monitoring system. Topics include spectral and functional variation across habitats and biomes, biodiversity variables for global scale assessment, and the prospects and pitfalls in remote sensing of biodiversity at the global scale.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 608 pp. Englisch.