Delineating patterns of soil drainage class on bare soils using remote sensing analyses

Geoderma

Volumn 115, Issue 3-4, 2003, Pages 261-279

  Peng, Wanglu ^a,b   Wheeler, Daniel B ^a   Bell, Jay C ^a   Krusemark, Matthew G ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

^b BEIJING NORMAL UNIVERSITY   (China)

Author keywords

DEM; Remote sensing; Soil mapping; Soil landscape; Spatial modeling; Spatial variability

Indexed keywords

AERIAL PHOTOGRAPH; BARE SOIL; DIGITAL ELEVATION MODEL; MAPPING; REMOTE SENSING; SATELLITE IMAGERY; SOIL DRAINAGE; SPATIAL VARIATION;

EID: 0042361815     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0016-7061(03)00066-1     Document Type: Article

References (25)

1. Agbu, P.A., Fehrenbacher, D.J., Jansen, I.J., 1990. Statistical comparison of SPOT spectral maps with field soil maps. Soil Sci. Soc. Am. J. 54, 812-818.
2. Ahn, C.W., Baumgardner, M.F., Biehl, L.L., 1999. Delineation of soil variability using geostatistics and fuzzy clustering analyses of hyperspectral data. Soil Sci. Soc. Am. J. 63, 142-150.
3. Bell, J.C., Cunningham, R.L., Havens, M.W., 1992. Calibration and validation of a soil-landscape model for predicting soil drainage class. Soil Sci. Soc. Am. J. 56, 1860-1866.
4. Bishop, Y., Fienberg, S., Holland, P., 1975. Discrete Multivariate Analysis - Theory and Practice. MIT Press, Cambridge, MA. 575 pp.
5. Chavez Jr., P.S., 1986. Digital merging of Landsat TM and digitized NHAP data for 1:24,000 scale image mapping. Photogramm. Eng. Remote Sensing 52, 1637-1646.
6. Chavez, P.S., Bowell, J.A., 1988. Comparison of the spectral information content of Landsat Thematic Mapper and SPOT for three different sites in the Phoenix, Arizona region. Photogramm. Eng. Remote Sensing 54, 1699-1708.
7. Coleman, T.L., Agbu, P.A., Montgomery, O.L., 1993. Spectral differentiation of surface soil and soil properties: is it possible from space platforms? Soil Sci. 155, 283-293.
8. Congalton, R.G., 1991. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sens. Environ. 37, 35-46.
9. Crist, E.P., Cicine, R.C., 1984. A physically-based transformation of Thematic Mapper data - the TM tasseled cap. IEEE Trans. Geosci. Remote Sens. GE-22, 256-263.
10. Dobos, E., Micheli, E., Baumgardner, M.F., Biehl, L., Helt, T., 2000. Use of combined digital elevation model and satellite radiometric data for regional soil mapping. Geoderma 97, 367-391.
11. ERDAS, 1997. ERDAS Field Guide, 4th ed. ERDAS, Atlanta, GA.
12. Gessler, P.E., Moore, I.D., McKenzie, N.J., Ryan, P.J., 1995. Soil-landscape modeling and the spatial prediction of soil attributes. Int. J. Geogr. Inf. Syst. 9, 421-432.
13. Henderson, T.L., Baumgardner, M.F., Franzmeier, D.P., Stott, D.E., Coster, D.C., 1992. High dimensional reflectance analysis of soil organic matter. Soil Sci. Soc. Am. J. 56, 865-872.
14. Lee, K., Lee, G.B., Tyler, E.J., 1988. Thematic Mapper and digital elevation modeling of soil characteristics in hilly terrain. Soil Sci. Soc. Am. J. 52, 1104-1107.
15. Lueth, R.A., 1974. Soil Survey of Hennepin County, Minnesota. USDA-SCS, Washington, DC.
16. Moore, I.D., Gessler, P.E., Nielsen, G.A., Peterson, G.A., 1993. Soil attribute prediction using terrain analysis. Soil Sci. Soc. Am. J. 57, 443-452.
17. Odeh, I.O.A., McBratney, A.B., 2000. Using AVHRR images for spatial prediction of clay content in the lower Namoi Valley of eastern Australia. Geoderma 97, 237-254.
18. Ojakangas, R.W., Matsch, C.L., 1982. Minnesota's Geology. University of Minnesota Press, Minneapolis, MN. 255 pp.
19. Palacios-Orueta, A., Ustin, S.L., 1998. Remote sensing of soil properties in the Santa Monica Mountains I. Spectral analysis. Remote Sens. Environ. 65, 170-183.
20. Palacios-Orueta, A., Pinzon, J.E., Ustin, S.L., Roberts, D.A., 1999. Remote sensing of soils in the Santa Monica Mountains: II. Hierarchical foreground and background analysis. Remote Sens. Environ. 68, 138-151.
21. Soil Survey Division Staff, 1993. Soil Survey Manual. Agricultural Handbook 18 US Government Printing Office, Washington, DC.
22. Su, H., Ransom, M.D., Kanemasu, E.T., 1989. Detecting soil information on a native prairie using Landsat TM and SPOT satellite data. Soil Sci. Soc. Am. J. 53, 1479-1483.
23. Thompson, J.A., Bell, J.C., Butler, C.A., 1997. Quantitative soil-landscape modeling for estimating the areal extent of hydromorphic soils. Soil Sci. Soc. Am. J. 61, 971-980.
24. Weismiller, R.A., Persinger, I.D., Montgomery, O.L., 1977. Soil inventory for digital analysis of satellite scanner and topographic data. Soil Sci. Soc. Am. J. 41, 1166-1170.
25. Zhu, A., 2000. Mapping soil landscape as spatial continua: the neural network approach. Water Resour. Res. 3, 663-677.