Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
GEOMORPHOMETRIC ANALYSIS OF RIVER BASINS IN EAST EUROPEAN RUSSIA USING SRTM AND ASTER GDEM DATA
Form of presentationArticles in international journals and collections
Year of publication2016
  • Ermolaev Oleg Petrovich, author
  • Ivanov Maksim Andreevich, author
  • Malcev Kirill Aleksandrovich, author
  • Shynbergenov Erlan Alimzhanovich, postgraduate kfu
  • Bibliographic description in the original language Ivanov M.A., Yermolaev O.P., Maltsev K.A., Shynbergenov Y.A. Geomorphometric analysis of river basins in east European Russia using SRTM and aster GDEM data // International Journal of Pharmacy and Technology, June-2016, Vol. 8, Issue No.3, R. 14841-14852.
    Annotation The spatial database of geomorphometric indices with the scale of 1:200 000 was created for the first time on the basis of a basin approach for the east of the Russian Plain European part. The basins built in a semiautomatic mode on the basis of SRTM DEM and Aster GDEM were used as OTE here. Using the abovementioned DEM the basic morphometric relief characteristics such as slope,slope length,vertical subdivision,river network density,LS factor were calculated. The mean values of these characteristics were calculated for basins. Using the vectorized map of geomorphological zoning,the belonging of basins to the geomorphological areas was determined. On the basis of the obtained geographic information database the main statistics of morphometric relief characteristics are calculated,and the results are interpreted using the existing scales and classifications. The dispersion analysis method revealed statistically significant associations for a number of characteristics with geomorphologic
    Keywords ASTER gdem, Relief morphometry, Russian plain, SRTM
    Place of publication Hyderabad, India.
    The name of the journal International Journal of Pharmacy and Technology
    Publishing house editor@ijptonline.com / editor.ijpt@gmail.com
    URL ijptarticles@gmail.com
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=148247&p_lang=2

    Full metadata record