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(Article of periodic en Anglais - 2009)

Document title

Supporting large-area, sample-based forest inventories whith very high spatial resolution satellite imagery

Authors(s) and Affiliation(s)

FALKOWSKI M.J. (1) ; WULDER M.A. (1) ; WHITE J.C. (1) ; GILLIS M.D. (1) ;
(1) Canadian Forest Service (Pacific Forestry Center), Natural Resources, Victoria, CANADA

Abstract

In this paper, the AA. synthesize the state-of-the-art in the use of VHSR remotely sensed imagery for forest inventory and monitoring. Based upon this review, they develop a framework for updating a sample-based, large-area forest inventory that incorporates VHSR imagery. Using the information needs of the Canadian National Forest Inventory (NFI) for context, they demonstrate the potential capabilities of VHSR imagery in 4 phases of the forest inventory update process : stand delineation, automated attribution, manual interpretation, and indirect attribute modelling. Although designed to support the information needs of the Canadian NFI, the framework presented herein could be adapted to support other sample-based, large-area forest monitoring initiatives

Source

Article of periodic

published at : Progress in physical geography / ISSN 0309-1333 / CODEN PPGEEC

Editor : Sage Publications, London - ROYAUME-UNI (1977)

Millesime : 2009, vol. 33, no3 [pp. 403-423]

Bibliographic references : 3 p.

Collation : 2 fig., 4 tabl.

Language

Anglais

INIST-CNRS, Cote INIST : 14648 A

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1177/0309133309342643

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2009
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