Model-based estimation of forest canopy height in red and austrian pine stands using shuttle radar topography mission and ancillary data: A proof-of-concept study

IEEE Transactions on Geoscience and Remote Sensing

Volumn 48, Issue 3 PART 1, 2010, Pages 1105-1118

  Brown, Charles G ^a   Sarabandi, Kamal ^b   Pierce, Leland E ^b  

^a LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Interferometry; Remote sensing; Synthetic aperture radar (SAR)

Indexed keywords

ALLOMETRIC EQUATIONS; ANCILLARY DATA; DATA SETS; EXTINCTION COEFFICIENTS; FOREST CANOPIES; FRACTAL TREES; HEIGHT RETRIEVAL; INCIDENCE ANGLES; INTERFEROMETRIC SYNTHETIC APERTURE RADARS; MODEL-BASED ESTIMATION; PINE STAND; PROOF OF CONCEPT; RMS ERRORS; ROOT-MEAN-SQUARE ERRORS; SCATTERING MEDIA; SCATTERING PHASE CENTER; SHUTTLE RADAR TOPOGRAPHY MISSION; SINGLE LAYER; TREE HEIGHT; TREE HEIGHT RETRIEVAL; TREE STANDS;

ALGORITHMS; ERRORS; GEODETIC SATELLITES; INTERFEROMETRY; REMOTE SENSING; SYNTHETIC APERTURE RADAR; TRACKING RADAR; VEGETATION;

FORESTRY;

ACCURACY ASSESSMENT; AIRBORNE SENSING; ALGORITHM; ALLOMETRY; CANOPY ARCHITECTURE; CONIFEROUS FOREST; DATA SET; ERROR ANALYSIS; EXTINCTION COEFFICIENT; HEIGHT; NUMERICAL MODEL; POPULATION DENSITY; RADAR IMAGERY; RADAR INTERFEROMETRY; SCATTERING; SHUTTLE RADAR TOPOGRAPHY MISSION; STAND STRUCTURE; SYNTHETIC APERTURE RADAR; VEGETATION STRUCTURE;

ALGORITHMS; FORESTRY; INTERFEROMETRY; PLANTS; RADAR; REMOTE SENSING; SATELLITES;

PINUS NIGRA; PINUS RESINOSA;

EID: 77956170033     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2009.2031635     Document Type: Article

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