Comparison of PLSR modelling and indicative mineral mapping of airborne hyperspectral imagery for acid sulphate soil assessment

International Journal of Remote Sensing

Volumn 35, Issue 4, 2014, Pages 1309-1330

  Shi, Xian Zhong ^a   Lau, Ian C ^b   Aspandiar, Mehrooz ^a  

^a CURTIN UNIVERSITY   (Australia)

^b CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ATOMIC ABSORPTION SPECTROMETRY; IRON COMPOUNDS; LEAST SQUARES APPROXIMATIONS; MAPPING; MINERALS; PH; REFLECTION; SPECTROSCOPY; SULFUR COMPOUNDS; TRACE ELEMENTS;

ACID SULPHATE SOILS; ACIDIC CONDITIONS; HYPER-SPECTRAL IMAGERIES; HYPERSPECTRAL SENSING; PARTIAL LEAST SQUARE REGRESSION; SPECTRAL ABSORPTION FEATURES; SPECTRAL FEATURE; SPECTRAL REFLECTANCES;

SOILS;

ACID SULFATE SOIL; AIRBORNE SENSOR; INDICATOR MINERAL; LEAST SQUARES METHOD; MAPPING; PH; SOIL ANALYSIS;

EID: 84894027052     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2013.876121     Document Type: Article

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