Open Access
Issue
E3S Web Conf.
Volume 223, 2020
Regional Problems of Earth Remote Sensing (RPERS 2020)
Article Number 02004
Number of page(s) 6
Section Models and Methods of Remote Sensing Data Processing
DOI https://doi.org/10.1051/e3sconf/202022302004
Published online 21 December 2020
  1. H. Abdullah, R. Darvishzadeh, A.K. Skidmore, M. Heurich, Remote Sens. 11 (2019). [Google Scholar]
  2. V.I. Kharuk, S.T. Im, M.L. Dvinskaya, Russian Journal of Ecology, 3 (2016). [Google Scholar]
  3. I.A. Saigin, S.A. Bartalev, F.V. Stytsenko, A method for detecting long-term drying out of dark coniferous forests in Russia based on satellite data, in Proceedings of the 17th All-Russian Open Conference “Current Problems of Remote Sensing of The Earth From Space”, Space Research Institute, 11-15 November 2019, Moscow, Russia (2019). [Google Scholar]
  4. Yu.S. Davidovich, L.V. Katkovsky, Recognition of tree vegetation stress in aerospace imagery, in Proceedings of the GIS technologies in geosciences, BSU, 13 November 2019, Minsk, Belarus (2019). [Google Scholar]
  5. B.I. Belyaev, L.V. Katkovskiy, Optical remote sensing, BSU, (2006). [Google Scholar]

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