Detecting diurnal and seasonal variation in canopy water content of nut tree orchards from airborne imaging spectroscopy data using continuous wavelet analysis

Remote Sensing of Environment

Volumn 143, Issue , 2014, Pages 39-53

  Cheng, Tao ^a   Riaño, David ^a,b   Ustin, Susan L ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b CSIC Instituto de Economia Geografia y Demografia IEGD   (Spain)

Author keywords

Canopy water content; Diurnal; Imaging spectroscopy; Seasonality; Spectral index; Wavelet analysis

Indexed keywords

FORECASTING; FORESTRY; INFRARED DEVICES; MEAN SQUARE ERROR; ORCHARDS; PHOTOMAPPING; SPECTROMETERS; SPECTROSCOPIC ANALYSIS; SPECTRUM ANALYSIS; TREES (MATHEMATICS); WAVELET ANALYSIS;

CANOPY WATER CONTENTS; DIURNAL; IMAGING SPECTROSCOPY; SEASONALITY; SPECTRAL INDICES;

WATER ABSORPTION;

ABSORPTION; AIRBORNE SENSING; DATA ACQUISITION; DIURNAL VARIATION; INFRARED RADIATION; LEAF; NOISE; OPTIMIZATION; SEASONAL VARIATION; WATER CONTENT; WAVELET ANALYSIS;

FORECASTS; FOREST CANOPY; FORESTRY; MATHEMATICS; MOISTURE CONTENT; OPTIMIZATION; ORCHARDS; SPECTROMETERS; TREES;

CALIFORNIA; UNITED STATES;

EID: 84892541008     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2013.11.018     Document Type: Article

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