Validating Landsat-based landscape metrics with fine-grained land cover data
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- 作者：Jason R. Parent ; jason.parent@uconn.edu" class="auth_mail" title="E-mail the corresponding author ; John C. Volin john.volin@uconn.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Land cover ; Scale ; Grain ; Extent ; Spatial ; High resolution ; Landscape ; Metrics ; Landsat
- 刊名：Ecological Indicators
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：60
- 期：Complete
- 页码：668-677
- 全文大小：4406 K
文摘
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Landsat-based data are a good proxy for fine-grain data for class fraction metrics.
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Landsat-based data are a poor proxy for fine-grain data for patch-based metrics.
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Coarse-grain data are a better proxy for fine-grain data for larger analysis areas.
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Resampled data are a poor proxy for independent data in analyzing scale effects.
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Metrics found to be predictable with scale, in previous studies, should be reevaluated.