Vegetation sensing using GPS-interferometric reflectometry: Theoretical effects of canopy parameters on signal-to-noise ratio data

IEEE Transactions on Geoscience and Remote Sensing

Volumn 53, Issue 5, 2015, Pages 2755-2764

  Chew, Clara C ^a   Small, Eric E ^a   Larson, Kristine M ^b   Zavorotny, Valery U ^c  

^a UNIVERSITY OF COLORADO   (United States)

^b UCB 450   (United States)

^c NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

Author keywords

Global Positioning System; radar; reflectometry; remote sensing

Indexed keywords

GLOBAL POSITIONING SYSTEM; INTERFEROMETRY; MOISTURE; RADAR; REFLECTION; REFLECTOMETERS; REMOTE SENSING; SOIL MOISTURE; SOIL SURVEYS; VEGETATION;

CANOPY PARAMETER; CONSTANT FREQUENCY; MODEL SIMULATION; MOISTURE VARIATION; REFLECTOMETRY; SATELLITE TRACKS; STRATIFIED MODEL; VEGETATION CHANGE;

SIGNAL TO NOISE RATIO;

AMPLITUDE; ANTENNA; CANOPY; GPS; GROUND-BASED MEASUREMENT; MODEL VALIDATION; RADAR INTERFEROMETRY; REFLECTOMETRY; SATELLITE DATA; SIGNAL-TO-NOISE RATIO; SOIL MOISTURE; THEORETICAL STUDY; VEGETATION COVER;

EID: 84921048674     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2014.2364513     Document Type: Article

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