Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
AUTOMATED RECOGNITION OF TREE SPECIES COMPOSITION OF FOREST COMMUNITIES USING SENTINEL-2 SATELLITE DATA
Form of presentationArticles in international journals and collections
Year of publication2023
Языканглийский
  • Ermolaev Oleg Petrovich, author
  • Mukharamova Svetlana Sayasovna, author
  • Polyakova Alika Rafaelevna, author
  • Shaykhutdinova Galiya Adkhatovna, author
  • Polyakova Alika Rafaelevna, postgraduate kfu
  • Bibliographic description in the original language Polyakova, A.; Mukharamova, S.; Yermolaev, O.; Shaykhutdinova, G. Automated Recognition of Tree Species Composition of Forest Communities Using Sentinel-2 Satellite Data//Remote Sensing. - 2023. - Vol.15, Is.2. - Art. №329.
    Keywords tree species, remote sensing, Sentinel-2, classification, random forest, generative topographic mapping, forest inventory, Raifa forest
    The name of the journal REMOTE SENSING
    URL https://www.mdpi.com/2072-4292/15/2/329/htm
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=278508&p_lang=2
    Resource files 
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    F_remotesensing_15_00329.pdf 5,54 pdf show / download

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