Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/8627
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dc.contributor.authorReif, Molly K.-
dc.contributor.authorPiercy, Candice D.-
dc.contributor.authorJarvis, Jessie C.-
dc.contributor.authorSabol, Bruce M.-
dc.contributor.authorMacon, Chris-
dc.contributor.authorColarusso, Phil-
dc.contributor.authorDierssen, Heidi-
dc.contributor.authorAitken, Jen-
dc.contributor.authorLoyd, Richard-
dc.date.accessioned2016-06-20T13:29:58Z-
dc.date.available2016-06-20T13:29:58Z-
dc.date.issued2012-01-
dc.identifier.urihttp://hdl.handle.net/11681/8627-
dc.descriptionTechnical Note-
dc.description.abstractThis technical note documents a multifaceted ground truth data collection effort to support R&D of an aquatic remote sensing application. The data collected have utility for a variety of purposes and researchers beyond this R&D project. The scope of this document is to describe the ground truth sampling design and its development, the component data types and their uses, and the database used to store and manage the data. The results of the remote sensing study will be summarized in a separate manuscript generated at the end of this project. That manuscript will also contain a critical evaluation of the effectiveness of this ground truth sampling effort.-
dc.publisherDredging Operations and Environmental Research Program (U.S.)-
dc.publisherEngineer Research and Development Center (U.S.)-
dc.relationhttp://acwc.sdp.sirsi.net/client/en_US/search/asset/1005960-
dc.relation.ispartofseriesERDC ; TN-DOER-E30-
dc.titleGround truth sampling to support remote sensing research and development submersed aquatic vegetation species discrimination using an airborne hyperspectral/lidar system-
dc.typeReporten_US
Appears in Collections:Technical Note

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