Dr Eva Neuwirthova : Biological Sciences | Best Researcher Award
Dr. Eva Neuwirthova is a dedicated biologist with a strong academic background. She graduated from Charles University with a Bachelor’s degree in Biology, focusing on carbon allocation in temperate tree species. Her keen interest led her to specialize in Plant Anatomy and Physiology for her Master’s degree. Driven by a passion for ecophysiology, she attended a summer school organized by CzechGlobe and received training in Portable Photosynthesis Systems. Dr. Neuwirthova’s exceptional work has been recognized with prestigious awards, including the EARSel-Young Scientist Award for Best Poster Presentation in 2019 and 2022, showcasing her commitment to advancing plant science. 🌿🏆
Publication Profiles :
Education :
Dr. Eva Neuwirthova embarked on her academic journey at the Grammar School of Jan Palach, Mělník, before delving into Biology at Charles University’s Faculty of Science. Her academic prowess is evident in her Bachelor’s thesis, exploring carbon allocation in temperate tree species. Progressing to Experimental Plant Biology, she delved into leaf anatomy and optical properties, culminating in a Ph.D. on the topic. Notably, her expertise led to a role at Charles University and an ongoing position at the Czech University of Life Sciences Prague, focusing on Genetics and Physiology of Forest Trees. 🌿📚
Awards :
Dr. Eva Neuwirthova’s contributions to the scientific community have earned her prestigious accolades. In 2019, she clinched the EARSel-Young Scientist Award for the Best Poster Presentation, securing the first position. Simultaneously, her excellence was recognized at CSEBR, where she attained the Second Prize for the best poster presentation by young scientists. Undeterred, she continued her impactful research, reaffirming her brilliance by again securing the first position in the 2022 EARSel-Young Scientist Award for Best Poster Presentation. 🏆🔬 Her consistent recognition highlights her commitment to advancing knowledge in her field.
Courses and Internship :
Dr. Eva Neuwirthova’s academic journey is enriched by diverse experiences and continuous learning. She honed her skills at the 2013 Summer School of Ecophysiology Measurements in Brno, organized by CzechGlobe. In 2016, she underwent specialized training in the use of the Portable Photosynthesis System Li-cor LI-6400XT, enhancing her research capabilities. Further expanding her horizons, Dr. Neuwirthova spent ten weeks at the Tartu Observatory, University of Tartu, collaborating with Dr. Lea Hallik in 2018. In 2019, she delved into multivariate data analysis in the UK. Continuing her quest for knowledge, she pursued an “Introduction to Quantitative Genetics” course in 2023 at the Czech University of Life Sciences Prague. 📚🌐
Research Focus :
Dr. Eva Neuwirthova’s research spans a diverse range of topics within plant physiology and remote sensing. Her investigations include understanding the impact of leaf stacking on reflectance and vegetation indices, seasonal phenological patterns of leaf dorsiventral reflectance, and the prediction of foliage biophysical traits in Norway spruce. With a focus on leaf age’s significance in remote sensing, she explores continuous leaf formation in hemiboreal deciduous trees. Dr. Neuwirthova delves into the determination of chlorophyll content in grass communities and contributes to e-learning courses on time series analysis in remote sensing. Her work showcases a comprehensive exploration of plant functional traits using cutting-edge techniques. 🌿🔍
Publication Top Notes :
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The effect of leaf stacking on leaf reflectance and vegetation indices measured by contact probe during the season
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Upscaling seasonal phenological course of leaf dorsiventral reflectance in radiative transfer model
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Foliage biophysical trait prediction from laboratory spectra in Norway spruce is more affected by needle age Than by site soil conditions
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Leaf age matters in remote sensing: taking ground truth for spectroscopic studies in hemiboreal deciduous trees with continuous leaf formation
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Determination of Chlorophyll Content in Selected Grass Communities of KRKONOŠE Mts. Tundra Based on Laboratory Spectroscopy and Aerial Hyperspectral data
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E-TRAINEE: Open e-learning course on time series analysis in remote sensing
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Leaf Functional Traits in Relation to Species Composition in an Arctic–Alpine Tundra Grassland
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Leaf Surface Reflectance Does Not Affect Biophysical Traits Modelling from VIS-NIR Spectra in Plants with Sparsely Distributed Trichomes
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Asymmetry of leaf internal structure affects PLSR modelling of anatomical traits using VIS-NIR leaf level spectra
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Making the Genotypic Variation Visible: Hyperspectral Phenotyping in Scots Pine Seedlings
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Retrieving plant functional traits through time series analysis of satellite observations using machine learning methods
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Optical properties of the leaf in relation to its anatomical traits