High resolution topsoil mapping using hyperspectral image and field data in multivariate regression modeling procedures

Geoderma

Volumn 136, Issue 1-2, 2006, Pages 235-244

  Selige, Thomas ^a   Böhner, Jürgen ^b   Schmidhalter, Urs ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b UNIVERSITY OF GÖTTINGEN   (Germany)

Author keywords

Hyperspectral airborne data; Multiple linear regression; Partial least square regression; Soil organic matter; Soil texture; Topsoil mapping

Indexed keywords

CLAY; COMPUTER SIMULATION; IMAGE ANALYSIS; INTERPOLATION; ORGANIC MINERALS; REGRESSION ANALYSIS; TEXTURES;

MULTIPLE LINEAR REGRESSION (MLR); PARTIAL LEAST SQUARE REGRESSION (PLSR); SOIL ORGANIC MATTER; SOIL TEXTURE; TOPSOIL MAPPING;

SOIL SURVEYS;

AIRBORNE SENSING; NUMERICAL MODEL; SCANNER; SOIL ORGANIC MATTER; SOIL TEXTURE; SPATIAL RESOLUTION; SPATIAL VARIATION; SPECTRAL ANALYSIS; THEMATIC MAPPING; TOPSOIL;

EID: 33751040555     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2006.03.050     Document Type: Article

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