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Remote Sens. 2009, 1(2), 36-49; doi:10.3390/rs1020036
Article

Effects of Percent Tree Canopy Density and DEM Misregistration on SRTM/NED Vegetation Height Estimates

1,*  and 2
1 Department of Geology, University of Patras, Rion 26504, Greece 2 Department of Surveying Engineering, National Technical University of Athens, Heroon Polytechniou 9, 15780 Zografou, Greece
* Author to whom correspondence should be addressed.
Received: 19 February 2009 / Revised: 1 April 2009 / Accepted: 2 April 2009 / Published: 2 April 2009
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Abstract

The U.S National Elevation Dataset and the NLCD 2001 landcover data were used to test the correlation between SRTM elevation values and the height of evergreen forest vegetation in the Klamath Mountains of California.Vegetation height estimates (SRTM-NED) are valid only for the two out of eight (N, NE, E, SE, S, SW, W, NW) geographic directions, due to NED and SRTM grid data misregistration. Penetration depths of SRTM radar were found to linearly correlate to tree percent canopy density.
Keywords: geodetic height; slope; aspect; landcover; vegetation height; canopy geodetic height; slope; aspect; landcover; vegetation height; canopy
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
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Miliaresis, G.; Delikaraoglou, D. Effects of Percent Tree Canopy Density and DEM Misregistration on SRTM/NED Vegetation Height Estimates. Remote Sens. 2009, 1, 36-49.

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