His main research concerns Remote sensing, Remote sensing, Vegetation, Chlorophyll fluorescence and Leaf area index. His work deals with themes such as Canopy, Climatic variables and Earth system science, which intersect with Remote sensing. Zbyněk Malenovský has researched Canopy in several fields, including Photogrammetry and Terrain.
His Remote sensing research includes themes of Plant canopy, Photochemical Reflectance Index, Field and Satellite imagery. Chlorophyll fluorescence is the subject of his research, which falls under Photosynthesis. His Leaf area index study incorporates themes from Picea abies, Mineralogy and Analytical chemistry.
Zbyněk Malenovský spends much of his time researching Remote sensing, Canopy, Vegetation, Chlorophyll and Imaging spectroscopy. His work on Hyperspectral imaging as part of general Remote sensing research is frequently linked to Atmospheric radiative transfer codes, bridging the gap between disciplines. His work in the fields of Canopy, such as Tree canopy, overlaps with other areas such as Precision agriculture.
His Vegetation research is multidisciplinary, incorporating perspectives in Remote sensing, Primary production, Multispectral image and Field. His Chlorophyll study also includes fields such as
Remote sensing, Vegetation, Canopy, Chlorophyll fluorescence and Atmospheric radiative transfer codes are his primary areas of study. His Vegetation research incorporates elements of Physical geography, Imaging spectroscopy, Field and Ecosystem. His work deals with themes such as Soil science, Chlorophyll and Leaf area index, which intersect with Canopy.
His studies in Chlorophyll integrate themes in fields like Photosynthesis and Atmospheric sciences. His Leaf area index research incorporates themes from Lidar, Understory and Tree canopy. His study in the field of Photochemical Reflectance Index is also linked to topics like Absorption and Materials science.
His primary areas of study are Chlorophyll fluorescence, Remote sensing, Absorption, Photochemical Reflectance Index and Canopy interception. His research in Chlorophyll fluorescence intersects with topics in Remote sensing, Primary production, Field and Vegetation. In his study, he carries out multidisciplinary Absorption and Xanthophyll research.
His Photochemical Reflectance Index research is multidisciplinary, incorporating elements of Photosynthetic reaction centre, Biological system and Photosynthetic efficiency. His Canopy interception study spans across into subjects like Downscaling, Photosynthetically active radiation, Dart and Canopy.
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Assessment of Forest Structure Using Two UAV Techniques: A Comparison of Airborne Laser Scanning and Structure from Motion (SfM) Point Clouds
Luke Wallace;Arko Lucieer;Zbyněk Malenovský;Darren Turner.
Sentinels for science: potential of Sentinel-1, -2, and -3 missions for scientific observations of ocean, cryosphere, and land
Zbyněk Malenovský;Helmut Rott;Josef Cihlar;Michael E. Schaepman.
Remote Sensing of Environment (2012)
Spatial Co-Registration of Ultra-High Resolution Visible, Multispectral and Thermal Images Acquired with a Micro-UAV over Antarctic Moss Beds
Darren Turner;Arko Lucieer;Zbyněk Malenovský;Diana H. King.
Remote Sensing (2014)
Scientific and technical challenges in remote sensing of plant canopy reflectance and fluorescence
Zbyněk Malenovský;Zbyněk Malenovský;Kumud Bandhu Mishra;František Zemek;Uwe Rascher.
Journal of Experimental Botany (2009)
HyperUAS-Imaging Spectroscopy from a Multirotor Unmanned Aircraft System
Arko Lucieer;Zbyněk Malenovský;Tony Veness;Luke Wallace.
Journal of Field Robotics (2014)
The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing
Jean Luc Widlowski;Corrado Mio;Mathias Disney;Jennifer Adams.
Remote Sensing of Environment (2015)
Meta-analysis assessing potential of steady-state chlorophyll fluorescence for remote sensing detection of plant water, temperature and nitrogen stress
Alexander Ač;Zbyněk Malenovský;Zbyněk Malenovský;Julie Olejníčková;Alexander Gallé;Alexander Gallé.
Remote Sensing of Environment (2015)
Applicability of the PROSPECT model for Norway spruce needles
Z Malenovský;J Albrechtová;Z Lhotáková;R Zurita‐Milla.
International Journal of Remote Sensing (2006)
Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress.
Gina H. Mohammed;Roberto Colombo;Elizabeth M. Middleton;Uwe Rascher.
Remote Sensing of Environment (2019)
Quantifying vegetation biophysical variables from imaging spectroscopy data: a review on retrieval methods
Jochem Verrelst;Zbyněk Malenovský;Christiaan Van der Tol;Gustau Camps-Valls.
arXiv: Quantitative Methods (2020)
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