Functionality of Hyperspectral Measurements in Vegetation Analysis: Comparison of Remote Sensing to Traditional Methods in the Alaskan Arctic
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Authors
Anderson, Erika M.
Issue Date
2002-05-03
Type
Presentation
Language
en_US
Keywords
Alternative Title
Abstract
Understanding the plant community is vital in grasping
the effects of climate change. Functional type, which
divides vegetation into vascular plants, lichens, and
mosses, aids in this understanding by representing a
system of classification capable of predicting vegetation
responses to, and on, ecological processes (Chapin et al.,
1996). Traditional ecology offers a relatively simple
strategy of using visual cover estimates to detect plant
functional type, representing an effective yet subjective
method. Remote sensing presents a more objective
technique of vegetation analysis through the use of
electromagnetic radiation (Gamon and Qiu, 1999). Just
like traditional methods, hyperspectral remote sensing,
which is on the scale of the landscape, differentiates
between plant functional type (Gamon and Qui, 1999).
This study compares the results of traditional and
hyperspectral vegetation analysis to ensure that the
hyperspectral method of remote sensing describes the
plant community in a meaningful and helpful way.
Description
1 broadside : ill.
Citation
Publisher
Kalamazoo College