Improved estimation of soil clay content by the fusion of remote hyperspectral and proximal geophysical sensing

Journal of Applied Geophysics

Volumn 116, Issue , 2015, Pages 135-145

  Ciampalini, Andrea ^a   André, Frédéric ^b   Garfagnoli, Francesca ^a   Grandjean, Gilles ^c   Lambot, Sébastien ^b   Chiarantini, Leandro ^d   Moretti, Sandro ^a  

^a UNIVERSITY OF FLORENCE   (Italy)

^b UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

^c BRGM   (France)

^d Selex Galileo SpA   (Italy)

Author keywords

Airborne hyperspectral; Data fusion; Digital soil mapping; Electromagnetic induction (EMI); Ground penetrating radar (GPR); Soil clay content

Indexed keywords

DATA ACQUISITION; DATA FUSION; ELECTROMAGNETIC INDUCTION; GEOLOGICAL SURVEYS; GEOPHYSICAL PROSPECTING; GEOPHYSICS; GROUND PENETRATING RADAR SYSTEMS; MAPPING; PERMITTIVITY; SOIL MOISTURE; SOIL TESTING; TEXTURES; UNCERTAINTY ANALYSIS;

DIGITAL SOIL MAPPINGS; ELECTROMAGNETIC INDUCTIONS (EMI); GROUND PENETRATING RADAR (GPR); HYPERSPECTRAL; SOIL CLAY CONTENT;

SOIL SURVEYS;

CLAY; DIGITAL MAPPING; ELECTRICAL CONDUCTIVITY; ELECTROMAGNETIC METHOD; GROUND PENETRATING RADAR; PERMITTIVITY; REMOTE SENSING; SOIL PROPERTY;

FIRENZE [TUSCANY]; ITALY; MUGELLO VALLEY; TUSCANY;

EID: 84924529696     PISSN: 09269851     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jappgeo.2015.03.009     Document Type: Article

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