Land cover changes and dynamics of Yuntolovsky Reserve

• Autorzy: Bogoliubova A. , Tymkow P.
• Języki publikacji: EN

Abstrakty

EN

Słowa kluczowe

EN

land cover change; landscape; optical remote sensing; image processing; heritage; Yuntolovsky Reserve; natural area; nature protection; recreational function

• Wydawca: -
• Czasopismo: Electronic Journal of Polish Agricultural Universities. Series: Geodesy and Cartography
• Rocznik: 2014
• Tom: 17
• Numer: 3
• Opis fizyczny: http://www.ejpau.media.pl/volume17/issue3/art-03.html

Twórcy

autor

Bogoliubova A.

• Department of Engineering Geodesy, National University of Mineral Resources (Mining University), 199106, St. Petersburg, Russia

autor

Tymkow P.

• Institute of Geodesy and Geoinformatics, Wrocław University of Environmental and Life Sciences, Grunwaldzka 53, 50-357 Wroclaw, Poland

Bibliografia

• 1. Anderson R., Hardy E.E., Roach J.T., and Witmer R.E., 1976. A land use and land cover classification system for use with remote sensor data. Sioux Falls: USGS Professional Paper 964. U.S. Geological Survey, Washington, DC.
• 2. Bogoliubova A.A., 2011. Классификация почвенно-растительного покрова особо охраняемых природных территорий Санкт-Петербурга. [The land cover classification of St. Petersburg natural protected area]. Actual problems of Forestry: Collection of scientific papers on the basis of an International scientific conference. Vol. 26, Bryansk, 168–172 [in Russian].
• 3. Bolstad P.V., Lillesand T.D., 1991. Rapid maximum likelihood classification. Photogrammetric Engineering and Remote Sensing, 57(1), 67–74.
• 4. Chandr A.M., Gosh C.K., 2008. Remote sensing and GIS. Translated by Kirushina A.V. Moscow, Russia: Techno sphere.
• 5. ILWIS 3.0 User’s Guide, 2001. International Institute for Aerospace survey and Earth Science Enschede, The Netherlands: ITC.
• 6. Isachenko G. A, Reznikov A.I., 2003. Ландшафтные исследования Юнтоловского заказника как основа для организации экологического мониторинга. [Landscape research of Yuuntolovsky reserve as a basis for the organization of ecological monitoring]. St. Petersburg, Russia: Development of especially protected natural areas of St. Petersburg, 22–26 [in Russian].
• 7. Jensen J.R., 1996. Thematic Information Extraction: Image Classification. Chap. 8 in Introductory digital: A remote sensing perspective (2nd ed). Upper Saddle River, New Jersey: Prentice-Hall.
• 8. Jensen J.R., 2005. Introductory digital image processing: A remote sensing perspective (3rd ed.). Upper Saddle River, New Jersey: Prentice Hall.
• 9. Jensen J.R., Cowen D.C., 1999. Remote sensing of urban/suburban infrastructure and socioeconomic attributes. Photogrammetric Engineering and Remote Sensing, 65(5), 611–622.
• 10. Jensen L.L.F., Gorte B.G.H., 2001. Digital image classification. Chap. 12 in Principle of remote sensing (2nd ed.). ITC, Enchede, the Netherlands: ITC.
• 11. Kushwaha S.P.S., Subramanuan S.K., Chennaiah G.C.H., Ramana J., Murthy S.V.C., Kameswara Rao, Perumal A. et al., 1996. Remote sensing and GIS Methods for sustainable rural development. International Journal of Remote Sensing, 17, 3055–3069.
• 12. Lambin E. F., Turner B. L., Geist H. J., Agbola S. B., Angelsen A., Bruce J. W., Coomes O. T. el al., 2001. The causes of land-use and land cover change moving beyond the myths. Global Environmental Change, 11(4), 261–269.
• 13. Lillesand T.M., Kiefer R.W., Chipman J.W., 2004. Remote sensing and image interpretation. 5 th ed. USA: John Wiley and Sons.
• 14. Mahalanobis P.C., 1936. On the generalised distance in statistics. Proceedings of the National Institute of Sciences of India, 2 (1), 49–55.
• 15. Price J.C., 1994. How unique are spectral signatures. Remote Sensing of Environment, 49, 181–186.
• 16. Rosenfield G.H., Fitzpatirck-Lins K., 1986. A coefficient of agreement as a measure of thematic classification accuracy. Photogrammetric Engineering and Remote Sensing, 52(2), 223–227.
• 17. The Decision of the Lensoveta presidium. 20.07.90. Решение Президиума Ленсовета о создании заказника «Юнтоловский» №71. [About creation regional complex natural state reserve Yuntolovsky  no. 71] [in Russian].
• 18. The Order of St. Petersburg of the governor. 30.11.99. О государственном природном комплексном заказнике регионального значения «Юнтоловский»: Распоряжение губернатора Санкт-Петербурга от 30.11.99 г. №1275-р [About regional complex natural state reserve Yuntolovsky, no.1275-o] [in Russian].
• 19. Tso B., Mather P.M., 2001. Classification methods for remotely sensed data. New York: Taylor and Francis.
• 20. Tymków P., 2009. Application of photogrammetric and remote sensing methods for identification of resistance coefficients of high water flow in river valleys. Wroclaw: F.P.H. “ELMA”. P, 101.
• 21. Volkova E.A., Isachenko G.A., Hramtsov V.N, Andreeva E.A., G.A., Konechnaya G.U., and Kotkova V.M. et al., 2005. Юнтоловский региональный комплексный заказник. [Regional complex natural state reserve Yuntolovsky]. St. Petersburg, Russia: Development of especially protected natural areas of St. Petersburg [in Russian].
• 22.  http://baltic.spbu.ru/forecast.eng/forecast.htm
• 23.  http://oopt.spb.ru/