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  1. 1.
    0500907 - ÚVGZ 2020 CZ eng C - Conference Paper (international conference)
    Rodriguez-Moreno, Fernando - Zemek, František - Pikl, Miroslav
    Assessment of the Estimates of Sun-induced Fluorescence in large masses of Vegetation.
    11th EARSeL SIG Imaging Spectroscopy Workshop. Brno: Ústav výzkumu globální změny AV ČR, 2019 - (Homolová, L.), s. 99-100
    [EARSel SIG IMAGING SPECTROSCOPY WORKSHOP BRNO /11./. Brno (CZ), 06.02.2019-08.02.2019]
    R&D Projects: GA MŠMT(CZ) LO1415
    EU Projects: European Commission(XE) 4000112890/14/NL/FF/gp
    Institutional support: RVO:86652079
    OECD category: Environmental sciences (social aspects to be 5.7)
    Permanent Link: http://hdl.handle.net/11104/0294497
    FileDownloadSizeCommentaryVersionAccess
    ASSESSMENT OF THE ESTIMATES OF SUN-INDUCED_DEFSISIMA.pdf81.3 MBPublisher’s postprintopen-access
     
     
  2. 2.
    0465980 - ÚVGZ 2017 RIV DE eng C - Conference Paper (international conference)
    Brovkina, Olga - Hanuš, Jan - Zemek, František - Mochalov, V. F. - Grigorieva, O. - Pikl, Miroslav
    Evaluating the potential of satellite hyperspectral resurs-p data for forest species classification.
    XXIII ISPRS Congress: Technical Commission VII. Vol. 2016. Göttingen: Copernicus Gesselschaft, 2016, s. 443-448. International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, 41 (B1). ISSN 1682-1750.
    [International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Congress, ISPRS 2016 /23./. Prague (CZ), 12.07.2016-19.07.2016]
    R&D Projects: GA MŠMT(CZ) LO1415
    Institutional support: RVO:67179843
    Keywords : Airborne * Forest species * Hyperspectral * Satellite
    Subject RIV: GK - Forestry
    http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B1/443/2016/
    Permanent Link: http://hdl.handle.net/11104/0264429
     
     
  3. 3.
    0423994 - ÚVGZ 2014 RIV CZ eng C - Conference Paper (international conference)
    Pikl, Miroslav - Zemek, František
    Hyperspectral image segmentation for estimation of biomass at reclaimed heaps.
    Global Change and Resilience: From Impacts to Responses : Proceedings of the 3rd annual Global Change and Resilience Conference. Brno: Global change research centre, Academy of Sciences of the Czech Republic, v. v. i, 2013 - (Stojanov, R.; Žalud, Z.; Cudlín, P.; Farda, A.; Urban, O.; Trnka, M.), s. 200-203. ISBN 978-80-904351-8-6.
    [Global Change and Resilience. Brno (CZ), 22.05.2013-24.05.2013]
    R&D Projects: GA MŠMT(CZ) ED1.1.00/02.0073; GA MŠMT OC09001; GA MŠMT(CZ) LM2010007
    Institutional support: RVO:67179843
    Keywords : hyperspectral * classification * maximal likehood * neural network
    Subject RIV: EH - Ecology, Behaviour
    Permanent Link: http://hdl.handle.net/11104/0230119
     
     


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