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Analysis and Representation of Heathland Vegetation from Near-Ground Level Remotely-Sensed Data

Nigel M. Trodd
Global Ecology and Biogeography Letters
Vol. 5, No. 4/5, Remote Sensing and GIS in the Service of Ecology and Biogeography: A Series of Case Studies (Jul. - Sep., 1996), pp. 206-216
Published by: Wiley
DOI: 10.2307/2997789
Stable URL: http://www.jstor.org/stable/2997789
Page Count: 11
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Analysis and Representation of Heathland Vegetation from Near-Ground Level Remotely-Sensed Data
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Abstract

Our ability to predict the likely impact of environmental change depends on our understanding of process and pattern in a landscape. Remote sensing has a critical role to play in achieving this understanding and yet conventional classificatory analyses limit the ecological value of information derived from remotely sensed data. This paper examines a strategy to characterize semi-natural heathland vegetation from near-ground level remotely sensed data. Remotely sensed data were related to variations in species composition along a vegetation continuum, and displayed the potential to represent important characteristics of vegetation ecotones.

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