Detection of diurnal variation in orchard canopy water content using MODIS/ASTER airborne simulator (MASTER) data

Remote Sensing of Environment

Volumn 132, Issue , 2013, Pages 1-12

  Cheng, Tao ^a   Riaño, David ^a,b   Koltunov, Alexander ^a   Whiting, Michael L ^a   Ustin, Susan L ^a   Rodriguez, Jenna ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

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

Author keywords

BRDF; Canopy water content; Diurnal variation; MASTER; NDII; NDVI; Water stress

Indexed keywords

BRDF; DIURNAL VARIATION; MASTER; NDII; NDVI; WATER STRESS;

CROPS; ORCHARDS; REFLECTION; REMOTE SENSING;

SENSITIVITY ANALYSIS;

AGRICULTURAL MANAGEMENT; ASTER; CANOPY; DATA INTERPRETATION; DATA SET; DETECTION METHOD; DIURNAL VARIATION; FRUIT; IMAGERY; IRRIGATION SYSTEM; MODIS; ORCHARD; PHYSIOLOGY; SPECTRAL REFLECTANCE; WATER CONTENT; WATER STRESS;

CALIFORNIA; SAN JOAQUIN VALLEY; UNITED STATES;

PISTACIA VERA; PRUNUS DULCIS;

EID: 84872863985     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2012.12.024     Document Type: Article

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