A talajok szervesanyag-készletének nagyléptéku térképezése regresszió krigeléssel Zala megye példáján

Agrokemia es Talajtan

Volumn 62, Issue 2, 2013, Pages 219-234

  Szatmári, Gábor ^a   Laborczi, Annamária ^b   Illés, Gábor ^c   Pásztor, László ^b  

^a UNIVERSITY OF SZEGED   (Hungary)

^b INSTITUTE OF EXPERIMENTAL MEDICINE   (Hungary)

^c Erdészeti Tudományos Intézet ERTI Hungarian Forest Research Institute   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84893193407     PISSN: 00021873     EISSN: 15882713     Source Type: Journal    
DOI: 10.1556/Agrokem.62.2013.2.4     Document Type: Article

References (25)

1. Baumgardner, M. F., 2011. Soil databases. In: Handbook of Soil Sciences: Resource Management and Environmental Impacts (Eds.: Huang, P. M., Li, Y. & Sumner, M. E.) 21-35. CRC Press. Boca Raton.
2. Bullock, P., 1999. Soil resources of Europe-An overview. In: Soil Resources of Europe (Eds.: Bullock, P., Jones, R. J. A. & Montanarella, L.) European Soil Bureau Research Report 6. 15-25. Office for Official Publications of the European Communities. Luxemburg.
3. Dobos, E., Michéli, E. & Montanarella, L., 2007. The population of a 500-m resolution soil organic matter spatial information system for Hungary. In: Developments in Soil Science. Vol. 31. (Eds.: Lagacherie, P., McBratney, A. B. & Voltz, M.) 487-495. Elsevier B.V. Amsterdam.
4. Dobos, E. et al., (Eds.), 2006. Digital Soil Mapping as a Support to Production of Functional Maps. EUR 22123 EN. Office for Official Publications of the European Communities. Luxemburg.
5. Dövényi Z. (szerk.), 2010. Magyarország kistájainak katasztere. MTA Földrajztudományi Kutatóintézet. Budapest.
6. Goovaerts, P., 1997. Geostatistics for Natural Resources Evaluation. Oxford University Press. New York.
7. Hengl, T., 2006. Finding the right pixel size. Computers & Geosciences. b32/b. 1283-1298.
8. Hengl, T., 2009. A Practical Guide to Geostatistical Mapping. University of Amsterdam. Amsterdam.
9. Illés G., Kovács G. & Heil B., 2011. Nagyfelbontású digitális talajtérké pezés a Vaskereszt erd?rezervátumban. Erdészettudomá nyi Közlemények. b1/b. 29-43.
10. McBratney, A. B., Mendonça Santos, M. L. & Minasny, B., 2003. On digital soil mapping. Geoderma. b117/b. 3-52.
11. McBratney, A. B. et al., 2000. An overview of pedimetric techniques for use in soil survey. Geoderma. b97/b. 293-327.
12. Mermut, A. R. & Eswaran, H. S., 2000. Some major developments in soil science since the mid-1960s. Geoderma. b100/b. 403-426.
13. Montanarella, L., 2010. Need for interpreted soil information for policy making. In: 19th World Congress of Soil Science, Soil Solutions for a Changing World. Brisbane, Australia, 1-6 August 2010. (DVD)
14. Odeh, I. O. A., McBratney, A. B. & Chittleborough, D. J., 1995. Further results on prediction of soil properties from terrain attributes: heterotopic cokriging and regression-kriging. Geoderma. b67/b. 215-226.
15. Pásztor, L. et al., 2013a. Elaboration and applications of spatial soil information systems and digital soil mapping at the Research Institute for Soil Science and Agricultural Chemistry of the Hungarian Academy of Sciences. Geocarto International. b28/b. 13-27.
16. Pásztor, L. et al., 2013b. Elaboration of novel, countrywide maps for the satisfaction of recent demands on spatial, soil related information in Hungary. In: Global Soil Map. (Ed.: Arrouays, D.) CRC Press/Balkema (megjelenés alatt).
17. R Development Core Team, 2009. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. ( a href http://www.R-project.org"http://www.R-project.org/a ). Vienna, Austria
18. Sanchez, P. A. et al., 2009. Digital soil map of the world. Science. b325/b. 680-681.
19. Simbahan, G. C. et al., 2006. Fine-resolution mapping of soil organic carbon based on multivariate secondary data. Geoderma. b132/b. 471-489.
20. Stefanovits P., Filep Gy. & Füleky Gy., 1999. Talajtan. Mez?gazda Kiadó. Budapest.
21. Szabó J., Pásztor L. & Bakacsi Zs., 2005. Egy országos, átnézetes, térbeli talajinformá ciós rendszer kiépítésének igénye, lehet?sége és lépései. Agrokémia és Talajtan. b54/b. 41-58.
22. Szatmári, G., 2013. High-resolution mapping of soil organic matter content based on regression kriging in a study area endangered by erosion in Hungary. In: XVI. Congress of Hungarian Geomathematics and V. Congress of Croatian and Hungarian Geomathematics, Mórahalom, 30 May-1 June 2013. (CD)
23. Szatmári G. & Barta K., 2013. Csernozjom talajok szervesanyag-tartalmának digitális térképezé se erózióval veszélyeztetett mez?földi területen. Agrokémia és Talajtan. b62/b. 47-60.
24. Tóth, G. et al., 2008. Soils of the European Union. Office for Official Publications of the European Communities. Luxemburg.
25. Wischmeier, W. H. & Smith, D. D., 1978. Predicting Rainfall Erosion Losses: A Guide to Conservation Planning. Agriculture Handbook No. 537. US Government Printing Office. Washington, D. C.