snippet:
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This raster dataset represents model output generated by the Gradient Nearest Neighbor method (Ohmann & Gregory 2002, CJFR) for assigning forest inventory plot identities to unsampled (and sampled) spatial locations. |
summary:
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This raster dataset represents model output generated by the Gradient Nearest Neighbor method (Ohmann & Gregory 2002, CJFR) for assigning forest inventory plot identities to unsampled (and sampled) spatial locations. |
accessInformation:
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LEMMA working group (Ohmann J, Gregory M, Roberts H) http://lemma.forestry.oregonstate.edu/ |
thumbnail:
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maxScale:
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5000 |
typeKeywords:
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[] |
description:
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<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>These data are most appropriately used to characterize vegetation conditions across landscapes, counties, watersheds, or ecoregions (areas larger than stands or patches). In general the data are appropriately used for planning and policy level analyses and decisions. Local map accuracy may be insufficient to support local- (e.g. stand-) scale decisions.</SPAN></P></DIV></DIV></DIV> |
licenseInfo:
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<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>User may not publish data without prior consent from researchers.</SPAN></P></DIV></DIV></DIV> |
catalogPath:
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title:
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GNN_2012 |
type:
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url:
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tags:
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["Forest composition","structure and vegetation"] |
culture:
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en-US |
portalUrl:
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name:
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guid:
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minScale:
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150000000 |
spatialReference:
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