NDLI: Vegetation height derivation from Shuttle Radar Topography Mission data in southeast Georgia, USA

Content Provider	IEEE Xplore Digital Library
Author	Kellndorfer, J.M. Walker, W.S. Dobson, M.C. Vona, M. Clutter, M.
Copyright Year	2004
Description	Author affiliation: Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI (Kellndorfer, J.M.; Walker, W.S.; Dobson, M.C.)
Abstract	A study was conducted to determine the extent to which data from the 2000 Shuttle Radar Topography Mission (SRTM) can be used to estimate vegetation canopy height in conjunction with an existing bald Earth DEM as provided by the National Elevation Dataset (NED). Intensively managed slash pine stands with canopy heights ranging from 11 to 21 m were biometrically surveyed within the general mission timeframe in early 2000. Results indicate that SRTM data can be successfully correlated via linear regression modeling with ground-measured mean vegetation canopy height at the stand level when mean SRTM-NED height difference measures are extracted by averaging pixels within the stands. Regression analysis using 20 and 50 pixels as stand size thresholds yielded adjusted r2 values of 0.79 and 0.86 with rms errors of 1.1 m and 1.0 m respectively. Thus a minimum SRTM mapping unit of approximately 1.8 hectares can be postulated which allows vegetation canopy height retrieval at the stand scale
Starting Page	4512
Ending Page	4515
File Size	1218704
Page Count	4
File Format	PDF
ISBN	0780387422
DOI	10.1109/IGARSS.2004.1370157
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vegetation mapping Synthetic aperture radar interferometry Radar scattering Light scattering Surface topography Receiving antennas Transmitting antennas Spaceborne radar Laboratories Computer science
Content Type	Text
Resource Type	Article

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