The Use of Remote Sensing in the Modeling of Forest Productivity edited by H.L. Gholz, Kaneyuki Nakane, H. Shimoda.

Forests comprise the greatest storage of carbon on land, provide fuel for millions, are the habitat for most terrestrial biodiversity, and are critical to the economies of many countries. Yet changes in the extent and dynamics of forests are inherently difficult to detect and quantify. Remote sensin...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Gholz, H.L (Editor), Nakane, Kaneyuki (Editor), Shimoda, H. (Editor)
Format: eBook
Language:English
Published: Dordrecht : Springer Netherlands : Imprint: Springer, 1997.
Edition:1st ed. 1997.
Series:Forestry Sciences, 50
Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Description
Summary:Forests comprise the greatest storage of carbon on land, provide fuel for millions, are the habitat for most terrestrial biodiversity, and are critical to the economies of many countries. Yet changes in the extent and dynamics of forests are inherently difficult to detect and quantify. Remote sensing technologies may facilitate the measurement of some key forest properties which, when combined with other information contained in various computer models, may allow for the quantification of critical forest functions. This book explores how remote sensing and computer modeling can be combined to estimate changes in the carbon storage, or productivity, of forests - from the level of the leaf to the level of the globe. Land managers, researchers, policy makers and students will all find stimulating discussions among an international set of experts at the cutting edge of the interface between science, technology and management.
Physical Description:VII, 327 p. online resource.
ISBN:9789401154468
ISSN:0924-5480 ;
DOI:10.1007/978-94-011-5446-8