Potential of SPOT multispectral satellite images for mapping topsoil organic carbon content over peri-urban croplands

Soil Science Society of America Journal

Volumn 77, Issue 6, 2013, Pages 2122-2139

  Vaudour, E ^a,b   Bel, L ^c   Coquet, Y ^c,d   Hadjar, D ^a,b   Cambier, P ^a,b   Michelin, J ^a,b   Houot, S ^a,b  

^a UMR 1402 ECOSYS   (France)

^b CEMAGREF   (France)

^c AgroParisTech   (France)

^d UNIVERSITÉ D'ORLÉANS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURATE PREDICTION; IMAGE-BASED MODELS; MULTIPLE LINEAR REGRESSIONS; MULTISPECTRAL SATELLITE IMAGE; ORGANIC CARBON CONTENTS; PARTIAL LEAST SQUARES REGRESSIONS (PLSR); ROOT-MEAN-SQUARE ERRORS; SOIL ORGANIC CARBON;

FORECASTING; LEAST SQUARES APPROXIMATIONS; LINEAR REGRESSION; PIXELS; SATELLITES; SOILS;

COMPUTER SIMULATION;

AGRICULTURAL SOIL; BARE SOIL; CALIBRATION; DATA SET; ERROR ANALYSIS; MAP; NUMERICAL MODEL; ORGANIC CARBON; PERIURBAN AREA; PIXEL; PREDICTION; SATELLITE IMAGERY; SOIL ORGANIC MATTER; SPECTRAL REFLECTANCE; SPOT; TOPSOIL;

EID: 84891920980     PISSN: 03615995     EISSN: 14350661     Source Type: Journal    
DOI: 10.2136/sssaj2013.02.0062     Document Type: Article

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