Estimation of soil organic matter from red and near-infrared remotely sensed data using a soil line Euclidean distance technique

Soil Science Society of America Journal

Volumn 66, Issue 6, 2002, Pages 1922-1929

  Fox, Garey A ^a,c   Sabbagh, George J ^b  

^a Department of Mechanical Engineering   (United States)

^b Bayer Company   (United States)

^c TEXAS A AND M UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ESTIMATION; INFRARED RADIATION; MAPPING; REMOTE SENSING;

SOIL PROPERTIES;

SOILS;

BARE SOIL; REMOTE SENSING; SATELLITE IMAGERY; SOIL ORGANIC MATTER;

EID: 0036852123     PISSN: 03615995     EISSN: None     Source Type: Journal    
DOI: 10.2136/sssaj2002.1922     Document Type: Article

References (16)

1. Al-Abbas, A.H., P.H. Swain, and M.F. Baumgardner. 1972. Relating organic matter and clay content to the multispectral radiance. Soil Sci. 114:477-485.
2. Baret, F., and G. Guyot. 1991. Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sens. Environ. 35:161-173.
3. Baret, F., S. Jacquemond, and J.F. Hanocq. 1993. The soil line concept in remote sensing. Remote Sens. Rev. 7:65-82.
4. Baumgardner, M.F., S.J. Kristoff, C.J. Johannsen, and A.L. Zachary. 1970. The effect of organic matter on multispectral properties of soils. Proc. Indiana Acad. Sci. 79:413-422.
5. Campbell, J.B. 1996. Introduction to Remote Sensing, 2nd Ed. Guilford Press, New York.
6. Chen, F., D.E. Kissell, L.T. West, and W. Adkins. 2000. Field-scale mapping of surface soil organic carbon using remotely sensed imagery. Soil Sci. Soc. Am. J. 64:746-753.
7. Fox, G.A. 2000. Image Use in the Characterization of Field Parameters: Incorporation of Remote Sensing with Hydrologic Simulation Modeling. M.S. Thesis. Texas A&M Univ., College Station, TX.
8. Jasinki, M.F., and P.S. Eagleson. 1989. The structure of red-infrared scattergrams of semivegetated landscapes. IEEE Trans. Geosci. Remote Sens. 27:441-451.
9. Jensen, J.R. 1996. Introductory Digital Image Processing: A Remote Sensing Perspective. Prentice Hall, Upper Saddle River, NJ.
10. Brown, J.R., and D. Wancke. 1980. Recommended soil test procedures for the north central region, p. 5-6. In North Central Region Publ. No. 221 (revised). North Dakota Exp. Stn. Bull. 499 (revised). North Dakota State Univ., Fargo, ND.
11. Page, A.L., R.H. Miller, and D.R. Keeney (ed.) 1982. Methods of soil analysis. Part 2 - Chemical and microbiological properties. 2nd ed. Agron. Monogr. 9. ASA and SSSA, Madison, WI.
12. Richardson, A.J., and C.L. Wiegand. 1977. Distinguishing vegetation from soil background information. Photogramm. Eng. Remote Sens. 43:1541-1552.
13. Shonk, J.L., L.D. Gaultney, D.G. Schulze, and G.E. Van Scoyoc. 1991. Spectroscopic sensing of soil organic matter content. Trans. ASAE 34:1978-1984.
14. Smith, D.L., C.R. Worner, and J.W. Hummel. 1987. Soil spectral reflectance relationship to organic matter content. ASAE Paper 87-1608. American Society of Agricultural Engineers, St. Joseph, MI.
15. Sudduth, K.A., and J.W. Hummel. 1988. Optimal signal processing for soil organic matter determination. ASAE Paper 88-7004. American Society of Agricultural Engineers, St. Joseph, MI.
16. Vinogradov, B.V. 1982. Remote sensing of the humus content of soils. Soviet Soil Sci. 13:103-113.