Effects of percent tree canopy density and DEM misregistration on SRTM/NED vegetation height estimates

Miliaresis, G; Delikaraoglou, D

dc.contributor.author	Miliaresis, G	en
dc.contributor.author	Delikaraoglou, D	en
dc.date.accessioned	2014-03-01T01:30:18Z
dc.date.available	2014-03-01T01:30:18Z
dc.date.issued	2009	en
dc.identifier.issn	20724292	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19538
dc.subject	Aspect	en
dc.subject	Canopy	en
dc.subject	Geodetic height	en
dc.subject	Landcover	en
dc.subject	Slope	en
dc.subject	Vegetation height	en
dc.subject.other	Aspect	en
dc.subject.other	Canopy	en
dc.subject.other	Geodetic height	en
dc.subject.other	Land cover	en
dc.subject.other	Slope	en
dc.subject.other	Vegetation height	en
dc.subject.other	Landforms	en
dc.subject.other	Plant extracts	en
dc.subject.other	Statistical tests	en
dc.subject.other	Tracking radar	en
dc.subject.other	Vegetation	en
dc.title	Effects of percent tree canopy density and DEM misregistration on SRTM/NED vegetation height estimates	en
heal.type	journalArticle	en
heal.identifier.primary	10.3390/rs1020036	en
heal.identifier.secondary	http://dx.doi.org/10.3390/rs1020036	en
heal.publicationDate	2009	en
heal.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. © 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.	en
heal.journalName	Remote Sensing	en
dc.identifier.doi	10.3390/rs1020036	en
dc.identifier.volume	1	en
dc.identifier.issue	2	en
dc.identifier.spage	36	en
dc.identifier.epage	49	en