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Leaf chlorophyll content retrieval from airborne...
Journal article

Leaf chlorophyll content retrieval from airborne hyperspectral remote sensing imagery

Abstract

Hyperspectral remote sensing has great potential for accurate retrieval of forest biochemical parameters. In this paper, a hyperspectral remote sensing algorithm is developed to retrieve total leaf chlorophyll content for both open spruce and closed forests, and tested for open forest canopies. Ten black spruce (Picea mariana (Mill.)) stands near Sudbury, Ontario, Canada, were selected as study sites, where extensive field and laboratory …

Authors

Zhang Y; Chen JM; Miller JR; Noland TL

Journal

Remote Sensing of Environment, Vol. 112, No. 7, pp. 3234–3247

Publisher

Elsevier

Publication Date

7 2008

DOI

10.1016/j.rse.2008.04.005

ISSN

0034-4257

Labels

Fields of Research (FoR)