Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/8627
Title: Ground truth sampling to support remote sensing research and development submersed aquatic vegetation species discrimination using an airborne hyperspectral/lidar system
Authors: Reif, Molly K.
Piercy, Candice D.
Jarvis, Jessie
Sabol, Bruce M.
Macon, Chris
Loyd, Richard
Colarusso, Phil
Dierssen, Heidi
Aitken, Jen
Publisher: Dredging Operations and Environmental Research Program (U.S.)
Engineer Research and Development Center (U.S.)
Series/Report no.: ERDC ; TN-DOER-E30
Abstract: This 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.
Description: Technical Note
URI: http://hdl.handle.net/11681/8627
Appears in Collections:Technical Note

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