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Using information theory to determine optimum pixel size and shape for ecological studies: aggregating land surface characteristics in Arctic ecosystems.

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第一作者： Stoy, P. C.

作者： Stoy, P. C. ^[1] ; Williams, M. ; Spadavecchia, L. ; Bell, R. A. ; Prieto-Blanco, A. ; Evans, J. G. ; Wijk, M. T. van

作者单位： School of GeoSciences, University of Edinburgh, Edinburgh, EH9 3JN, UK. ^[1]

关键词 leaf area index normalized difference vegetation index information theory Kullback-Leibler divergence Shannon entropy triangulated irregular network topographic index vegetation structure quantification Arctic ecosystem land surface heterogeneity sub-Arctic tundra hydrologic index optimum pixel size determination optimum pixel shape determination

发布时间 2013-11-20

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Ecosystems

2009年12卷4期

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Ecosystems

2009年12卷4期

574-589页

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Using information theory to determine optimum pixel size and shape for ecological studies: aggregating land surface characteristics in Arctic ecosystems.

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Using information theory to determine optimum pixel size and shape for ecological studies: aggregating land surface characteristics in Arctic ecosystems.

Ecosystems

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Ecosystems

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