Characterizing regional soil mineral composition using spectroscopy and geostatistics

Remote Sensing of Environment

Volumn 139, Issue , 2013, Pages 415-429

  Mulder, V L ^a,b   de Bruin, S ^a   Weyermann, J ^b   Kokaly, R F ^c   Schaepman, M E ^a,b  

^a WAGENINGEN UNIVERSITY   (Netherlands)

^b UNIVERSITY OF ZURICH   (Switzerland)

^c DENVER FEDERAL CENTER   (United States)

Author keywords

ASTER; Digital soil mapping; Fixed Rank Kriging; Mineral identification; Spectral feature comparison; Spectroscopy

Indexed keywords

ASTER; DIGITAL SOIL MAPPINGS; KRIGING; MINERAL IDENTIFICATION; SPECTRAL FEATURE;

IMAGE MATCHING; INTERPOLATION; KAOLINITE; LINEAR REGRESSION; MICA; SOILS; SPECTROSCOPY; X RAY DIFFRACTION;

MINERALS;

ALGORITHM; ASTER; CALCITE; CARBONATE; CHEMICAL COMPOSITION; CORRELATION; DIGITAL MAPPING; GEOSTATISTICS; KAOLINITE; KRIGING; LABORATORY METHOD; MICA; REGRESSION ANALYSIS; REMOTE SENSING; SMECTITE; SPATIAL VARIATION; X-RAY DIFFRACTION; X-RAY SPECTROSCOPY;

EID: 84884389125     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2013.08.018     Document Type: Article

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