Inversion of a forest reflectance model to estimate structural canopy variables from hyperspectral remote sensing data

The potential of canopy reflectance modelling to retrieve simultaneously several structural variables in managed Norway spruce stands was investigated using the “Invertible Forest Reflectance Model”, INFORM. INFORM is an innovative extension of the FLIM model, with crown transparency, infinite crown...

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Bibliographic Details
Published in:	Remote sensing of environment Vol. 100; no. 3; pp. 281 - 294
Main Authors:	Schlerf, Martin, Atzberger, Clement
Format:	Journal Article
Language:	English
Published:	New York, NY Elsevier Inc 15.02.2006 Elsevier Science
Subjects:	Animal, plant and microbial ecology Applied geophysics Biological and medical sciences Earth sciences Earth, ocean, space Exact sciences and technology Forest reflectance model Fundamental and applied biological sciences. Psychology General aspects. Techniques Imaging spectrometry Internal geophysics LAI Model inversion Neural network Picea abies Structural canopy variables Teledetection and vegetation maps Imaging spectrometry Forest reflectance model Model inversion Neural network Structural canopy variables LAI extension simulation neural networks Inversion vegetation Stem Site specificity Hyperspectral imaging sensor Understory spectroscopy Gymnospermae Tree crown Feedforward Picea Backpropagation models inverse problem maps density gymnosperms Plantae remote sensing forests Crown Coniferales Spermatophyta Picea abies Reflectance Leaf area index statistics
ISSN:	0034-4257, 1879-0704
Online Access:	Get full text
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