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Remote sensing of vegetation : principles, techniques, and applications / Hamlyn G. Jones, Robin A. Vaughan.

By: Contributor(s): Material type: TextLanguage: English Copyright date: Oxford : New York ; Oxford University Press, 2010Edition: First EditionDescription: xxvi, 353 pages : ilustration, some colours ; 25 cmISBN:
  • 9780199207794
  • 0199207798 (pbk.)
Subject(s): DDC classification:
  • 580.28
LOC classification:
  • QK63 .J66 2010
Partial contents:
Introduction -- Basics of radiation physics for remote sensing of vegetation -- Radiative properties of vegetation, soils, and water -- Plant and canopy function -- Earth observation systems -- Preparation and manipulation of optical data -- Use of spectral information for sensing vegetation properties and for image classification -- Multiangular sensing of vegetation structure and modelling of radiation-transfer properties -- Remote sensing of canopy mass and heat exchanges -- Sampling, error, and scaling -- Integrated applications.
Abstract: Remote sensing is becoming an increasingly important tool for agriculturalists, ecologists, and land managers for the study of the earth's agricultural and natural vegetation, and can be applied to further our understanding of key environmental issues, including climate change and ecosystem management
List(s) this item appears in: BIOLOGIA
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Holdings
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Colección general Biblioteca Yachay Tech 580.28 J773r 2010 (Browse shelf(Opens below)) Ej. 1 Available 004247
Total holds: 0

Includes bibliographical references (p. 345-353).

Introduction -- Basics of radiation physics for remote sensing of vegetation -- Radiative properties of vegetation, soils, and water -- Plant and canopy function -- Earth observation systems -- Preparation and manipulation of optical data -- Use of spectral information for sensing vegetation properties and for image classification -- Multiangular sensing of vegetation structure and modelling of radiation-transfer properties -- Remote sensing of canopy mass and heat exchanges -- Sampling, error, and scaling -- Integrated applications.

Remote sensing is becoming an increasingly important tool for agriculturalists, ecologists, and land managers for the study of the earth's agricultural and natural vegetation, and can be applied to further our understanding of key environmental issues, including climate change and ecosystem management

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