Predicting salinity in tomato using soil reflectance spectra

International Journal of Remote Sensing

Volumn 34, Issue 17, 2013, Pages 6079-6093

  Goldshleger, N ^a   Chudnovsky, A ^b   Ben Binyamin, R ^a  

^a EXTENSION SERVICE   (Israel)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FRUITS; LEAST SQUARES APPROXIMATIONS; MEAN SQUARE ERROR; REFLECTION; REMOTE SENSING; SALINITY MEASUREMENT; VEGETATION;

ARID AND SEMI-ARID AREAS; PARTIAL LEAST SQUARES REGRESSION; REFLECTANCE SPECTROSCOPY; REFLECTANCE SPECTRUM; ROOT-MEAN-SQUARE ERROR OF PREDICTIONS; SALINE ENVIRONMENT; SOIL DEGRADATION PROCESS; SOIL SPECTRAL REFLECTANCE;

SOILS;

AIRBORNE SENSING; CHLORINE; CONCENTRATION (COMPOSITION); FRUIT; LEAF; LEAST SQUARES METHOD; REGRESSION ANALYSIS; REMOTE SENSING; SALINITY; SODIUM; SOIL DEGRADATION; SPECTRAL REFLECTANCE;

LYCOPERSICON ESCULENTUM;

EID: 84879534851     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2013.793859     Document Type: Article

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