Hyperspectral remote sensing for estimating biophysical parameters of forest ecosystems

Remote sensing has demonstrated wide applicability in the area of estimating and mapping forest physical and structural features. Focus in recent years has been directed towards measuring the biophysical/physiological character of forest ecosystems in order to estimate and predict forest ecosystem h...

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Bibliographic Details
Published in:Progress in physical geography 1999-09, Vol.23 (3), p.359-390
Main Authors: Treitz, Paul M., Howarth, Philip J.
Format: Article
Language:English
Subjects:
Animal, plant and microbial ecology
Applied geophysics
Bgi / Prodig
Biological and medical sciences
Cartography, space figuration
Chemistry
Chlorophyll
Detection
Earth
Earth science
Earth sciences
Earth, ocean, space
Estimation
Exact sciences and technology
Forest ecosystems
Forests
Fundamental and applied biological sciences. Psychology
General aspects. Techniques
Image interpreation. Remote sensing
Information dissemination
Internal geophysics
Leaves
Mapping
Parameter estimation
Physiology
Plant sciences
Reflectance
Remote sensing
Scientific imaging
Sustainability
Teledetection and vegetation maps
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Summary:Remote sensing has demonstrated wide applicability in the area of estimating and mapping forest physical and structural features. Focus in recent years has been directed towards measuring the biophysical/physiological character of forest ecosystems in order to estimate and predict forest ecosystem health and sustainability. The following reviews the relationship between forest condition and reflectance; remote-sensing measurements (and derivatives) that provide biophysical/physiological information; and the potential of hyperspectral sensors in the measurement of these parameters.
ISSN:0309-1333
1477-0296
DOI:10.1177/030913339902300303