| A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling WA Dorigo, R Zurita-Milla, AJW de Wit, J Brazile, R Singh, ... International journal of applied earth observation and geoinformation 9 (2 …, 2007 | 764 | 2007 |
| Unmixing-based Landsat TM and MERIS FR data fusion R Zurita-Milla, JGPW Clevers, ME Schaepman IEEE Geoscience and Remote Sensing Letters 5 (3), 453-457, 2008 | 280 | 2008 |
| Vegetation phenology from Sentinel-2 and field cameras for a Dutch barrier island A Vrieling, M Meroni, R Darvishzadeh, AK Skidmore, T Wang, ... Remote sensing of environment 215, 517-529, 2018 | 250 | 2018 |
| Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring J Amorós-López, L Gómez-Chova, L Alonso, L Guanter, R Zurita-Milla, ... International journal of Applied earth observation and Geoinformation 23 …, 2013 | 194 | 2013 |
| 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 | 192 | 2013 |
| Downscaling time series of MERIS full resolution data to monitor vegetation seasonal dynamics R Zurita-Milla, G Kaiser, J Clevers, W Schneider, ME Schaepman Remote Sensing of Environment 113 (9), 1874-1885, 2009 | 176 | 2009 |
| Mapping spatio-temporal variation of grassland quantity and quality using MERIS data and the PROSAIL model Y Si, M Schlerf, R Zurita-Milla, A Skidmore, T Wang Remote Sensing of Environment 121, 415-425, 2012 | 151 | 2012 |
| 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 | 139 | 2008 |
| An evaluation of Guided Regularized Random Forest for classification and regression tasks in remote sensing E Izquierdo-Verdiguier, R Zurita-Milla International Journal of Applied Earth Observation and Geoinformation 88, 102051, 2020 | 136 | 2020 |
| 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 | 110 | 2006 |
| Trends and natural variability of spring onset in the coterminous United States as evaluated by a new gridded dataset of spring indices TR Ault, MD Schwartz, R Zurita-Milla, JF Weltzin, JL Betancourt Journal of climate 28 (21), 8363-8378, 2015 | 103 | 2015 |
| A cloud-based multi-temporal ensemble classifier to map smallholder farming systems R Aguilar, R Zurita-Milla, E Izquierdo-Verdiguier, R A. de By Remote sensing 10 (5), 729, 2018 | 91 | 2018 |
| Towards wide-scale adoption of open science practices: The role of open science communities K Armeni, L Brinkman, R Carlsson, A Eerland, R Fijten, R Fondberg, ... Science and Public Policy 48 (5), 605-611, 2021 | 75 | 2021 |
| Future land use effects on the connectivity of protected area networks in southeastern Spain M Piquer-Rodríguez, T Kuemmerle, D Alcaraz-Segura, R Zurita-Milla, ... Journal for Nature Conservation 20 (6), 326-336, 2012 | 65 | 2012 |
| Possibilities and limitations of artificial neural networks for subpixel mapping of land cover D Nigussie, R Zurita-Milla, J Clevers International journal of remote sensing 32 (22), 7203-7226, 2011 | 62 | 2011 |
| Multitemporal unmixing of medium-spatial-resolution satellite images: A case study using MERIS images for land-cover mapping R Zurita-Milla, L Gómez-Chova, L Guanter, JGPW Clevers, ... IEEE Transactions on geoscience and remote sensing 49 (11), 4308-4317, 2011 | 61 | 2011 |
| Evaluating the performance of a random forest kernel for land cover classification A Zafari, R Zurita-Milla, E Izquierdo-Verdiguier Remote sensing 11 (5), 575, 2019 | 59 | 2019 |
| Using geographically weighted regression kriging for crop yield mapping in West Africa M Imran, A Stein, R Zurita-Milla International Journal of Geographical Information Science 29 (2), 234-257, 2015 | 52 | 2015 |
| Co-clustering geo-referenced time series: exploring spatio-temporal patterns in Dutch temperature data X Wu, R Zurita-Milla, MJ Kraak International Journal of Geographical Information Science 29 (4), 624-642, 2015 | 49 | 2015 |
| An overview of clustering methods for geo-referenced time series: From one-way clustering to co-and tri-clustering X Wu, C Cheng, R Zurita-Milla, C Song International journal of geographical information science 34 (9), 1822-1848, 2020 | 47 | 2020 |
Michael E. SchaepmanPresident and Professor of Remote Sensing, University of ZurichVerified email at geo.uzh.ch