| Assessment of forest structure using two UAV techniques: A comparison of airborne laser scanning and structure from motion (SfM) point clouds L Wallace, A Lucieer, Z Malenovský, D Turner, P Vopěnka Forests 7 (3), 62, 2016 | 650 | 2016 |
| Sentinels for science: Potential of Sentinel-1,-2, and-3 missions for scientific observations of ocean, cryosphere, and land Z Malenovský, H Rott, J Cihlar, ME Schaepman, G García-Santos, ... Remote Sensing of environment 120, 91-101, 2012 | 571 | 2012 |
| Review of optical-based remote sensing for plant trait mapping L Homolová, Z Malenovský, JGPW Clevers, G García-Santos, ... Ecological Complexity 15, 1-16, 2013 | 411 | 2013 |
| Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress GH Mohammed, R Colombo, EM Middleton, U Rascher, C van der Tol, ... Remote sensing of environment 231, 111177, 2019 | 407 | 2019 |
| Quantifying vegetation biophysical variables from imaging spectroscopy data: a review on retrieval methods J Verrelst, Z Malenovský, C Van der Tol, G Camps-Valls, ... Surveys in Geophysics 40, 589-629, 2019 | 333 | 2019 |
| Discrete anisotropic radiative transfer (DART 5) for modeling airborne and satellite spectroradiometer and LIDAR acquisitions of natural and urban landscapes JP Gastellu-Etchegorry, T Yin, N Lauret, T Cajgfinger, T Gregoire, E Grau, ... Remote Sensing 7 (2), 1667-1701, 2015 | 279 | 2015 |
| Spatial co-registration of ultra-high resolution visible, multispectral and thermal images acquired with a micro-UAV over Antarctic moss beds D Turner, A Lucieer, Z Malenovský, DH King, SA Robinson Remote Sensing 6 (5), 4003-4024, 2014 | 232 | 2014 |
| HyperUAS—Imaging spectroscopy from a multirotor unmanned aircraft system A Lucieer, Z Malenovský, T Veness, L Wallace Journal of Field Robotics 31 (4), 571-590, 2014 | 211 | 2014 |
| The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing JL Widlowski, C Mio, M Disney, J Adams, I Andredakis, C Atzberger, ... Remote Sensing of Environment 169, 418-437, 2015 | 187 | 2015 |
| Retrieval of spruce leaf chlorophyll content from airborne image data using continuum removal and radiative transfer Z Malenovský, L Homolová, R Zurita-Milla, P Lukeš, V Kaplan, J Hanuš, ... Remote Sensing of Environment 131, 85-102, 2013 | 177 | 2013 |
| Meta-analysis assessing potential of steady-state chlorophyll fluorescence for remote sensing detection of plant water, temperature and nitrogen stress A Ač, Z Malenovský, J Olejníčková, A Gallé, U Rascher, G Mohammed Remote sensing of environment 168, 420-436, 2015 | 174 | 2015 |
| DART: recent advances in remote sensing data modeling with atmosphere, polarization, and chlorophyll fluorescence JP Gastellu-Etchegorry, N Lauret, T Yin, L Landier, A Kallel, Z Malenovský, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 171 | 2017 |
| Scientific and technical challenges in remote sensing of plant canopy reflectance and fluorescence Z Malenovský, KB Mishra, F Zemek, U Rascher, L Nedbal Journal of experimental botany 60 (11), 2987-3004, 2009 | 170 | 2009 |
| Downscaling of solar-induced chlorophyll fluorescence from canopy level to photosystem level using a random forest model X Liu, L Guanter, L Liu, A Damm, Z Malenovský, U Rascher, D Peng, S Du, ... Remote Sensing of Environment 231, 110772, 2019 | 149 | 2019 |
| Influence of woody elements of a Norway spruce canopy on nadir reflectance simulated by the DART model at very high spatial resolution Z Malenovský, E Martin, L Homolová, JP Gastellu-Etchegorry, ... Remote Sensing of Environment 112 (1), 1-18, 2008 | 133 | 2008 |
| The global distribution of leaf chlorophyll content H Croft, JM Chen, R Wang, G Mo, S Luo, X Luo, L He, A Gonsamo, ... Remote Sensing of Environment 236, 111479, 2020 | 130 | 2020 |
| Effects of woody elements on simulated canopy reflectance: Implications for forest chlorophyll content retrieval J Verrelst, ME Schaepman, Z Malenovský, JGPW Clevers Remote Sensing of Environment 114 (3), 647-656, 2010 | 122 | 2010 |
| PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents JB Féret, K Berger, F De Boissieu, Z Malenovský Remote Sensing of Environment 252, 112173, 2021 | 121 | 2021 |
| Assessing vegetation function with imaging spectroscopy JA Gamon, B Somers, Z Malenovský, EM Middleton, U Rascher, ... Surveys in Geophysics 40, 489-513, 2019 | 119 | 2019 |
| Applicability of the PROSPECT model for Norway spruce needles Z Malenovský, J Albrechtová, Z Lhotáková, R Zurita‐Milla, J Clevers, ... International Journal of Remote Sensing 27 (24), 5315-5340, 2006 | 100 | 2006 |
Michael E. SchaepmanPresident and Professor of Remote Sensing, University of ZurichVerified email at geo.uzh.ch
