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2014 | 17 | 3 |
Tytuł artykułu

Additive approach to soil water erosion risk assessment using principal component analysis

Treść / Zawartość
Wydawca
-
Rocznik
Tom
17
Numer
3
Opis fizyczny
http://www.ejpau.media.pl/volume17/issue3/art-08.html
Twórcy
autor
  • Institute of Geodesy and Geoinformatics, Wrocław University of Environmental and Life Sciences, Wroclaw, Poland
autor
  • Institute of Geodesy and Geoinformatics, Wrocław University of Environmental and Life Sciences, Wroclaw, Poland
autor
  • Geomatics Engineering Department, Civil Engineering Faculty, Istanbul Technical University, Turkey Istanbul Technical University, Civil Engineering Faculty, Geomatics Engineering Department, 34469 Maslak, Istanbul, Turkey
autor
  • Geomatics Engineering Department, Civil Engineering Faculty, Istanbul Technical University, Turkey Istanbul Technical University, Civil Engineering Faculty, Geomatics Engineering Department, 34469 Maslak, Istanbul, Turkey
Bibliografia
  • 1. Burrough P.A., McDonnell R.A., 1998. Principles of geographical information systems. Oxford: Oxford Univ. Press
  • 2. COM (2006:231): Thematic Strategy for Soil Protection, Commission Communication of 22 September 2006 [COM(2006) 231 final].
  • 3. De Jong S.M., 1994. Applications of reflective remote sensing for land degradation studies in a mediterranean environment. Nederlandse geografische studies 177.
  • 4. Glenn E., Huete A.R., Nagler P., Nelson, S., 2008. Relationship Between Remotely-Sensed Vegetation Indices, Canopy Attributes and Plant Physiological Processes: What Vegetation Indices Can and Cannot Tell Us About the Landscape. Sensors, 8, 2136–2160.
  • 5. Gobin A., Govers G., Jones R., Kirkby M., Kosmas C., 2003. Assessment and Reporting on Soil Erosion, European Environment Agency, ISBN: 92-9167-519-9.
  • 6. Gobin A., Jones R., Kirkby M., Campling P., Govers G., Kosmas C., Gentile A.R., 2004. Indicators for pan-European assessment and monitoring of soil erosion by water. Environmental Science & Policy, 7 (1), 25–38.
  • 7. He X., 1999. Pedogenesis of loess profile and evolution of erosional environment on the Loess Plateau since 0.2 Ma. B.P. (in Chinese). J. Soil Erosion Water Conserv, 5, 92–95.
  • 8. Jensen J.R., 2000. Remote Sensing of the Environment: An Earth Resource Perspective, Prentice Hall, New Jersey.
  • 9. Jones H.G., Vaughan R.A., 2010. Remote sensing of vegetation. Principles, techniques and applications, Oxford University Press, Oxford, NY.
  • 10. Józefaciuk A., Józefaciuk Cz., 1996. Erozja i Melioracje Przeciwerozyjne [Erosion and anti-erosion drainage]. Biblioteka Monitoringu Środowiska. PIOŚ, IUNG, Warszawa [in Polish].
  • 11. Józefaciuk A., Józefaciuk Cz.,1999. Ochrona Gruntów Przed Erozją [Anti-erosion soil protection]. Instytut Upraw Nawożenia i Gleboznawstwa, Państwowy Instytut Badawczy, Puławy[in Polish].
  • 12. Larose, D.T., 2008. Odkrywanie Wiedzy z Danych. Wprowadzenie do Eksploracji Danych [Discovering Konwledge In Data. An Introducion to Data Mining]. Wydawnictwo Naukowe PWN, Warszawa [in Polish].
  • 13. Lin C.Y., Lin W.T., Chou W.C., 2002. Soil erosion prediction and sediment yield estimation: the Taiwan experience. Soil Tillage Res., 68, 143–152.
  • 14. Morgan R.P.C., 2005. Soil Erosion and Conservation, Longman Group and J. Wiley & Sons.
  • 15. Ni J.R., Li Y.K., 2003. Approach to Soil Erosion Assessment in terms of Land Use Structure Changes, Journal of Soil and Water Conservation, 58, 158–169.
  • 16. Renard K.G., Foster G.R., Yoder D.C, McCool D.K., 1994. RUSLE revisited: Status, questions, answers, and the future. J. Soil Water Conserv., 49(3), 213–220.
  • 17. Renard K.G., Foster G.R., Weesies G.A.,  McCool D.K., Yoder, D.C., 1997. Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation. U.S. Department of Agriculture, Agriculture Handbook 703. 384 pp.
  • 18. Richards J.A., 2013. Remote Sensing Digital Image Analysis, 5th Edition, Springer
  • 19. Stuczyński T., 2007. Stan i zmiany właściwości gleb użytkowanych rolniczo w województwie dolnośląskim w latach 2000–2005. [Conditions and changes of agricultural soils in Lower Silesia in the years 2000–2005] Urząd Marszałkowski Województwa Dolnośląskiego, Instytut Upraw Nawożenia i Gleboznawstwa, Państwowy Instytut Badawczy, Puławy [in Polish].
  • 20. Szewrański Sz., Żmuda R., 2008. Prognozowanie Efektów Spowodowanych Wprowadzeniem Zasad Dobrych Praktyk Rolniczych. [Forecasting the effects caused by the introduction of principles of good agricultural practices] Wydawnictwo Uniwersytetu Przyrodniczego we Wrocławiu [in Polish].
  • 21. Tweddale SA., Echlschlaeger CR., Seybold William F., 2000. An improved method for spatial extrapolation of vegetation cover estimates (USLE/RUSLE C factor) Using LCTA and remotely sensed imagery USAEC Report #SFIM–AEC-EQ-TR-200011 U.S. Army Environmental Center
  • 22. Van der Knijff J.M., Jones R.J.A., Montanarella L., 2000. Soil Erosion Risk Assessment in Italy. European Commision, Directorate General JRC, Space Applications Institute, European Soil Bureau.
  • 23. Van Lynden G.W.J., 1995. European soil resources. Nature and Environment No. 71. Council of Europe, Strasbourg.
  • 24. Vrieling A., 2007. Mapping Erosion from Space, PhD Thesis, Wageningen University
  • 25. Wischmeier W.H., Smith D.D., 1978. Predicting Rainfall Erosion Losses: A Guide to Conservation Planning, Agriculture Handbook No. 537, USDA/Science and Education Administration, US. Govt. Printing Office, Washington, DC. 58 pp.
  • 26. Yoder D.C., Lown, J.B., 1995. The future of RUSLE: Inside the new Revised Universal Soil Loss Equation. J. Soil and Water Conserv., 50(5), 484–489.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
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