The application of remote sensing and terrain modeling to soil characterization

Innovative Soil-Plant Systems for Sustainable Agricultural Practices

Volumn 9789264099722, Issue , 2003, Pages 328-348

  Dobos, E ^a  

^a UNIVERSITY OF MISKOLC   (Hungary)

Author keywords

Digital elevation model; GIS; Remote sensing; Soil landscape model

Indexed keywords

EID: 84908916225     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1787/9789264099722-en     Document Type: Chapter

References (61)

1. Agbu, P.A. & Olson, K. R. 1992. Model to predict soil parent material underlying a loess mantle in Illinois from satellite data. Soil Science, 153, 142-148.
2. Agbu, P.A., Fehrenbacher, D.J. & Jansen, I.J. 1990. Soil property relationship with SPOT satellite digital data in East Central Illinois. Soil Science Society of America Journal, 54, 807-812.
3. Ahn, C.W., Baumgardner, M.F. & Biehl, L.L. 1999. Delineation of soil variability using geostatistics and fuzzy clustering analysis of hyperspectral data. Soil Science Society of America Journal, 63, 142-150.
4. Asner, G.P. & Lobell, D.B. 2000. A biogeophysical approach for automated SWIR unmixing of soils and vegetation. Remote Sensing of Environment, 74, 99-112.
5. Arrouays, D., Daroussin, J., Kicin, J.C. & Hassika, P. 1998. Improving topsoil carbon storage prediction using a digital elevation model in temperate forest soils of France. Soil Science, 163, 103-108.
6. Beckett, P.H.T. & Webster, R. 1971. Soil variability: A review. Soils Fertility, 34, 1-15.
7. Bell, J.C., Cunningham, R.L. & Havens, M.W. 1994. Soil drainage class probability mapping using a soil-landscape model. Soil Science Society of America Journal, 58, 464-470.
8. Bell, J.C., Cunningham, R.L. & Havens, M.W. 1992. Calibration and validation of a soillandscape model for predicting soil drainage class. Soil Science Society of America Journal, 56, 1860-1866.
9. Biggs, A. & Slater, B. 1998. Using soil landscape and digital elevation models to provide rapid medium scale soil surveys on the Eastern Darling Downs, Queensland. Proceedings of the 16th World Congress of Soil Science, Montpellier, France.
10. th World Congress of Soil Science. 14-21 August 2002. Bangkok, Thailand. Paper No. 1470. p. 1573.
11. Chang, D.H. & Islam, S. 2000. Estimation of soil physical properties using remote sensing and artificial neural network. Remote Sensing of Environment, 74, 534-544.
12. Chaplot, V., Bernoux, M., Walter, C., Curmi, P. & Herpin, U. 2001. Soil carbon storage prediction in temperate forest hydromorphic soils using a morphologic index and digital elevation model. Soil Science, 166, 48-60.
13. Chaplot, V., Walter, C. & Curmi, P. 2000. Improving soil hydromorphy prediction according to DEM resolution and available pedological data. Geoderma, 97, 405-422.
14. th World Congress of Soil Science. Montpellier, France. p.354.
15. Coleman, T.L., Agbu, P.A. & Montgomery, O.L. 1993. Spectral differentiation of surface soils and soil properties: Is it possible from space platforms? Soil Science, 155, 283-293.
16. Coleman, T.L., Agbu, P.A., Montgomery, O.L., Gao, T. & Prasad, S. 1991. Spectral band selection for quantifying selected properties in highly weathered soils. Soil Science, 151, 355-361.
17. de Bruin, S. & Stein, A. 1998. Soil-landscape modeling using fuzzy c-means clustering of attribute data derived from digital elevation model (DEM). Geoderma, 83, 17-33.
18. de Bruin, S., Wielemaker, W.G. & Molenaar, M. 1999. Formalization of soil-landscape knowledge through interactive hierarchical desegregation. Geoderma, 91, 151-172.
19. Dobos, E., Montanarella, L., Negre, T. & Micheli, E. 2001. A regional scale soil mapping approach using integrated AVHRR and DEM data. International Journal of Applied Earth Observations and Geoinformation, 3, 30-42.
20. 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.
21. Dobos, E. 1998. Quantitative analysis and evaluation of AVHRR and terrain data for small scale soil pattern recognition. PhD Thesis, Purdue University, West Lafayette, Indiana. USA.
22. Dwivedi, R.S., Sreenivas, K. & Ramana, K.V. 2000. Detecting soil information in a predominantly black soil region using Indian remote sensing satellite (IRS-1B) linear imaging self-scanning sensor (LISS-II) data. International Journal of Remote Sensing, 21, 3293-3302.
23. Florinsky, I. & Kuryakova, G. 1998. Determination of grid size for digital terrain models in soil investigations. Proceedings of the 16th World Congress of Soil Science. Montpellier, France. p. 357.
24. Florinsky, I. V. & Arlashina, H.A. 1998. Quantitative topographic analysis of gilgai soil morphology. Geoderma, 82, 359-380.
25. Galvao, L.S., Vitorello, I. & Formaggio, A.N. 1997. Relationships of spectral reflectance and color among surface and subsurface horizons of tropical soil profiles. Remote Sensing of Environment, 61, 24-33.
26. Gessler, P.E., Moore, I.D., McKenzie, N.J. & Ryan, P.J. 1995. Soil landscape modeling and spatial prediction of soil attributes. International Journal of Geographical Information Systems, 9, 421-432.
27. Gessler, P.E., Chadwik, O.A., Chamran, F., Althouse, L. & Holmes, K. 2000. Modeling soillandscape and ecosystem properties using terrain attributes. Soil Science Society of America Journal, 64, 2046-2056.
28. Goossens, R. & Van Ranst, E. 1998. The use of remote sensing to map gypsiferous soils in the Ismailia Provence (Egypt). Geoderma, 87, 47-56.
29. Hammer, R.D, Young, F.J., Wollenhaupt, N.C., Barney, T.L. & Haithcoate, T.W. 1995. Slope class maps from soil survey and digital elevation models. Soil Science Society of America Journal, 59, 509-519.
30. th World Congress of Soil Science. 14-21 August 2002. Bangkok, Thailand. Paper no. 1140.
31. Hu, Z., Islam, S. & Cheng, Y. 1997. Statistical characterization of remotely sensed soil moisture images. Remote Sensing of Environment, 61, 310-318.
32. Jenny, H. 1941. Factors of Soil Formation. McGraw, New York.
33. King, D., Bourennane, H., Isambert, M. & Macaire, J.J. 1999. Relationship of the presence of a non-calcareous clay-loam horizon to DEM attributes in a gently sloping area. Geoderma, 89, 95-111.
34. Lagacherie, P. & Voltz, M. 2000. Predicting soil properties over a region using sample information from mapped reference area and digital elevation data: A conditional probability approach. Geoderma, 97, 187-208.
35. Lark, R.M. 1999. Soil-landform relationships within-field scales: An investigation using continuous classification. Geoderma, 92, 141-165.
36. Leone, A.P. & Sommer, S. 2000. Multivariate analysis of laboratory spectra for the assessment of soil development and soil degradation in the southern Apennines (Italy). Remote Sensing of Environment, 72, 346-359.
37. Machin, J. & Navas, A. 1998. Spatial analysis of gypsiferous soils in the Zaragoza province (Spain), using GIS as an aid to conservation. Geoderma, 87, 57-66.
38. Mathieu, R., Pouget, M., Cervelle, B. & Escadafal, R. 1998. Relationships between satellitebased radiometric indices simulated using laboratory reflectance data and typic soil color of an arid environment. Remote Sensing of Environment, 66, 17-28.
39. McKenzie, N.J. & Ryan, P.J. 1999. Spatial prediction of soil properties using environmental correlation. Geoderma, 89, 67-94.
40. Michéli, E., Stefanovits, P. & Fenyvesi, L. 1989. Optical reflectance of artificially prepared organo-mineral complexes. International Agrophysics, 5, 99-105.
41. Montgomery, O.L. 1976. An investigation of the relationship between spectral reflectance and the chemical, physical and genetic characteristics of soils. PhD Thesis, Purdue University, West Lafayette, Indiana. Univ. Microfilms.
42. Moore, I.D., Gessler, P.E., Nielsen, G.A. & Peterson, G.A. 1993. Soil attribute prediction using terrain analysis. Soil Science Society of America Journal, 57, 443-452.
43. Nagler, P.L., Daughtry, C.S.T. & Goward, S.N. 2000. Plant litter and soil reflectance. Remote Sensing of Environment, 71, 207-215.
44. Ni, W. & Li, X. 2000. A coupled Vegetation-soil bidirectional reflectance model for semiarid landscape. Remote Sensing of Environment, 74, 113-124.
45. Odeh, I.O.A., McBratney, A.B. & Chittleborough, D.J. 1994. Spatial prediction of soil properties from landform attributes derived from a digital elevation model. Geoderma, 63, 197-214.
46. 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.
47. Palacios-Orueta, A. & Ustin, S.L. 1998. Remote sensing of soil properties in the Santa Monica Mountains I. Spectral Analysis. Remote Sensing of Environment, 65, 170-183.
48. Palacios-Orueta, A., Pinzon, J.E., Ustin, S. L. & Roberts, D.A. 1999. Remote sensing of soil properties in the Santa Monica Mountains I. Hierarchical foreground and background analysis. Remote Sensing of Environment, 68, 138-151.
49. Phillips, J.D. 1994. Deterministic uncertainty in landscapes Earth Surface. Proceedings of Landforms, 19, 389-401.
50. Ryan, P.J., McKenzie, N.J., O'Connell, D., Loughhead, A.N., Leppert, P.M., Jacquier, D. & Ashton, L. 2000. Integrating forest soils information across scales: spatial prediction of soil properties under Australian forests. Forest Ecology and Management, 138, 139-157.
51. Sinowski, W. & Auerswald, K. 1999. Using relief parameters in a discriminant analysis to stratify geological areas with different spatial variability of soil properties. Geoderma, 89, 113-128.
52. Skidmore, A.K., Varekamp, C., Wilson, L., Knowles, E. & Delaney, J. 1997. Remote sensing of soils in an eucalypt forest environment. International Journal of Remote Sensing, 18, 39-56.
53. Stoner, E.R. 1979. Physicochemical, site, and bidirectional reflectance factor characteristics of uniformly-moist soils. PhD Thesis, Agronomy Department, Purdue University, West Lafayette, Indiana.U.S.
54. Stoner, E.R. & Baumgardner, M.F. 1981. Characteristic variations in reflectance of surface soils. Soil Science Society of America Journal, 45, 1161-1165.
55. Szilágyi, A. 1992. Analysis and modeling of relationships between salinity and spectral reflectance of soils. PhD Thesis. Agronomy Department, Purdue University, West Lafayette, Indiana. U.S.
56. Thomas, A.L., King, D., Dambrine, E., Couturier, A. & Roque, J. 1999. Predicting soil classes with parameters derived from relief and geologic materials in a sandstone region of the Vosges mountains (Northeastern France). Geoderma, 90, 291-305.
57. Thompson, J.A., Bell, J.C. & Butler, C.A. 1997. Quantitative soil-landscape modeling for estimating the aerial extent of hydromorphic soils. Soil Science Society of America Journal, 61, 971-980.
58. van Engelen, V. 1995. Global and National Soils and Terrain Digital Databases Procedures manual. Wageningen, International Soil Reference and Information Center, The Netherland.
59. Wysocki, D.A., Schoeneberger, P.J. & LaGarry, H.E. 2000. Geomorphology of soil landscapes. In: Handbook of Soil Science. (ed M.E. Sumner) CRC Press.
60. Young, F.J. & Hammer, R.D. 2000. Defining geographic soil bodies by landscape position, soil taxonomy and cluster analysis. Soil Science Society of America Journal, 64, 989-998.
61. Zhang, W. & Montgomery, D.R. 1994. Digital elevation model grid size, landscape representation, and hydrologic simulations. Water Resources Research, 30, 1019-1028.