Regional predictions of soil organic carbon content from spectral reflectance measurements

Biosystems Engineering

Volumn 104, Issue 3, 2009, Pages 442-446

  Aichi H ^a,b,c   Fouad, Y ^a,b   Walter, C ^a,b   Viscarra Rossel, R A ^d   Lili Chabaane, Zohra ^c   Sanaa, Mustapha ^c  

^a AGROCAMPUS OUEST   (France)

^b UNIVERSITÉ EUROPÉENNE DE BRETAGNE   (France)

^c INSTITUT NATIONAL AGRONOMIQUE DE TUNISIE   (Tunisia)

^d CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL ANALYSIS; FORECASTING; INFRARED DEVICES; LEAST SQUARES APPROXIMATIONS; MEAN SQUARE ERROR; PREDICTIVE ANALYTICS; REFLECTION; SOIL SURVEYS; SOILS; SPECTROMETERS;

CALIBRATION AND VALIDATIONS; DIFFUSE REFLECTANCE SPECTROSCOPY; ORGANIC CARBON CONTENTS; PARTIAL LEAST SQUARES REGRESSION; ROOT MEAN SQUARED ERRORS; SOIL ORGANIC CARBON CONTENT; SPECTRAL REFLECTANCE MEASUREMENTS; VISIBLE AND NEAR INFRARED;

ORGANIC CARBON;

EID: 70350132636     PISSN: 15375110     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biosystemseng.2009.08.002     Document Type: Article

References (14)

1. AFNOR. Qualité des sols. Recueil de normes françaises vol. 1 (1999), AFNOR p. 565
2. Batchily A.K., Post D.F., and Breckenfeld D.J. Spectral reflectance and soil morphology characteristics of Santa Rita experimental range soils. USDA Forest Service Proceedings RMRS-P 30 (2003) 175-182
3. Bédidi A., Cervelle B., Madeira J., and Pouget M. Moisture effects on visible spectral characteristics of lateritic soils. Soil Science Society of America Journal 153 (1992) 129-141
4. Ben-Dor E., and Banin A. Near-Infrared analysis as a rapid method to simultaneously evaluate several soil properties. Soil Science Society of America Journal 59 (1995) 364-372
5. Dalal R.C., and Henry R.J. Simultaneous determination of moisture, organic carbon and total nitrogen by near infra red reflectance spectrophotometry. Soil Science Society of America Journal 50 (1986) 120-123
6. Houssa R., Pion J.C., and Yéssou H. Effects of granulometric and mineralogical composition on spectral reflectance of soils in a sahelian area. ISPRS Journal of Photogrammetry and Remote Sensing 51 (1996) 284-298
7. Ingleby H.R., and Crowe T.G. Neural network models for predicting organic matter content in Saskatchewan soils. Canadian Biosystems Engineering 43 (2001) 7.1-7.5
8. Krishnan P., Alexander J.D., Butler B.J., and Hummel J.W. Reflectance technique for predicting soil organic matter. Soil Science Society of America Journal 44 (1980) 1282-1285
9. Mathieu R., Pouget M., Cervelle B., and Escadafal R. Relationships between satellite-based radiometric indices simulated using laboratory reflectance data and typic soil color of an arid environment. Remote Sensing of Environment 66 (1998) 17-28
10. Mouazen A.M., Karoui R., Deckers J., De Baerdemaeker J., and Ramon H. Potential of visible and near-infrared spectroscopy to derive colour groups utilising the Munsell soil colour charts. Biosystems Engineering 97 (2007) 131-143
11. Sudduth K.A., and Hummel J.W. Soil organic matter, CEC and moisture sensing with a portable NIR spectrophotometer. Transactions of ASAE 36 (1993) 1571-1582
12. Viscarra Rossel R.A., Walter C., and Fouad Y. Assessement of two reflectance techniques for the quantification of the within field spatial variability of soil organic carbon. In: Stafford J., and Werner A. (Eds). ECPA 2003 (2003), ATB and ZALF, Germany 697-703
13. Viscarra Rossel R.A., Fouad Y., and Walter C. Using a digital camera to measure soil organic carbon and iron contents. Biosystems Engineering 100 (2008) 149-159
14. Wold S., Martens H., and Wold H. The multivariate calibration method in chemistry solved by the PLS method. In: Ruhe A., and Kagstrom B. (Eds). Proceedings of the Conference on Matrix Pencils. Lecture Notes in Mathematics (1983), Springer-Verlag, Heidelberg 286-293