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Integrating Ground-Based with Remote Sensing Data and Deep Learning Algorithm to Monitor of Endangered Oak Forest Habitats
Title Integrating Ground-Based with Remote Sensing Data and Deep Learning Algorithm to Monitor of Endangered Oak Forest Habitats Author Čahojová Lucia SAVBOTAN - Botanický ústav SAV ORCID Co-authors Jarolímek Ivan 1954- SAVBOTAN - Botanický ústav SAV ORCID Kollár Michal Michalková Michaela SAVBOTAN - Botanický ústav SAV Mikula Karol Ožvat Aneta A. Slabejová Denisa SAVBOTAN - Botanický ústav SAV ORCID Šibíková Mária SAVBOTAN - Botanický ústav SAV ORCID Source document European Vegetation Survey: methods and approaches in a changing environment : Book of abstracts. P. 217. - Rome : Sapienza University of Rome, 2023 ; Conference of the European Vegetation Survey scientific conference Language eng - English Country IT - Italy Note VEGA 2/0119/19. - VEGA 2/0097/22 Document kind rozpis článkov z periodík (rzb) Keywords Earth observation * habitat mapping * numerical methods * Natura 2000 * remote sensing Category GII - Other publications and documents which is not possible to categorize into classes/categories mentioned above Category of document (from 2022) O2 - Odborný výstup publikačnej činnosti ako časť knižnej publikácie alebo zborníka Type of document abstrakt z podujatia Year 2023 
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rok vydania rok metriky IF IF Q (best) SJR SJR Q (best) 2023
Number of the records: 1