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  1. 2021

  2. АВТОМАТИЗАЦИЯ НАБЛЮДЕНИЯ ЗА РАСТИТЕЛЬНЫМ ПОКРОВОМ

    Рыкин, И. C. & Паниди, Е. А., 2021, p. 446-448. 3 p.

    Research output: Contribution to conference › Paper

  3. 2020

  4. Satellite-based estimation of growing season framing dates, weather instability aspect

    Panidi, E., Rykin, I. & Tsepelev, V., 15 May 2020, In: Arabian Journal of Geosciences. 13, 10, 10 p., 359.

    Research output: Contribution to journal › Article › peer-review

  5. О ВОЗМОЖНОСТЯХ ИНТЕГРАЦИИ ОБЛАЧНЫХ ИНФРАСТРУКТУР ПРОСТРАНСТВЕННЫХ ДАННЫХ И УНИВЕРСАЛЬНЫХ НАСТОЛЬНЫХ ГЕОГРАФИЧЕСКИХ ИНФОРМАЦИОННЫХ СИСТЕМ НА ПРИМЕРЕ GOOGLE EARTH ENGINE И QGIS

    Panidi, E. A. & Rykin, I. S., 2020, In: InterCarto, InterGIS. 26, p. 421-433 13 p.

    Research output: Contribution to journal › Conference article › peer-review

  6. 2019

  7. AUTOMATED GIS-BASED TECHNIQUE for EVALUATION of INDIRECT GROWING SEASON ESTIMATIONS

    Rykin, I., Panidi, E. & Tsepelev, V., 23 Aug 2019, In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. 42, 4/W14, p. 209-211 3 p.

    Research output: Contribution to journal › Conference article › peer-review

  8. Highly discrete mapping of the growing season time frames and time dynamics

    Rykin, I., Shagnieva, A., Panidi, E. & Tsepelev, V., 20 Aug 2019, In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. 42, 3/W8, p. 357-361 5 p.

    Research output: Contribution to journal › Conference article › peer-review

  9. 2018

  10. Toward Satellite-Based Estimation of Growing Season Framing Dates in Conditions of Unstable Weather

    Паниди, Е. А., Рыкин, И., Нико, Д. & Цепелев, В. Ю., 30 Dec 2018, Advances in Remote Sensing and Geo Informatics Applications. Advances in Science, Technology & Innovation (IEREK Interdisciplinary Series for Sustainable Development). Tunisia: Springer Nature, p. 131-133

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

ID: 13784314