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

Received: 19 February 2009; in revised form: 1 April 2009 / Accepted: 2 April 2009 / Published: 2 April 2009
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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
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MDPI and ACS Style

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.

AMA Style

Miliaresis G, Delikaraoglou D. Effects of Percent Tree Canopy Density and DEM Misregistration on SRTM/NED Vegetation Height Estimates. Remote Sensing. 2009; 1(2):36-49.

Chicago/Turabian Style

Miliaresis, George; Delikaraoglou, Demitris. 2009. "Effects of Percent Tree Canopy Density and DEM Misregistration on SRTM/NED Vegetation Height Estimates." Remote Sens. 1, no. 2: 36-49.

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