| Analysis of monotonic greening and browning trends from global NDVI time-series R de Jong, S de Bruin, A de Wit, ME Schaepman, DL Dent Remote Sensing of Environment 115, 692-702, 2011 | 799 | 2011 |
| Complexity revealed in the greening of the Arctic IH Myers-Smith, JT Kerby, GK Phoenix, JW Bjerke, HE Epstein, ... Nature Climate Change 10 (2), 106-117, 2020 | 761 | 2020 |
| Trend changes in global greening and browning: contribution of short‐term trends to longer‐term change R de Jong, J Verbesselt, ME Schaepman, S Bruin Global Change Biology, 2011 | 510 | 2011 |
| No growth stimulation of Canada’s boreal forest under half-century of combined warming and CO2 fertilization MP Girardin, O Bouriaud, EH Hogg, W Kurz, NE Zimmermann, ... Proceedings of the National Academy of Sciences 113 (52), E8406-E8414, 2016 | 330 | 2016 |
| Shifts in global vegetation activity trends R De Jong, J Verbesselt, A Zeileis, ME Schaepman Remote Sensing 5 (3), 1117-1133, 2013 | 276 | 2013 |
| Strong contribution of autumn phenology to changes in satellite‐derived growing season length estimates across Europe (1982–2011) I Garonna, R De Jong, AJW De Wit, CA Mücher, B Schmid, ... Global change biology 20 (11), 3457-3470, 2014 | 264 | 2014 |
| Spatial relationship between climatologies and changes in global vegetation activity R de Jong, ME Schaepman, R Furrer, S De Bruin, PH Verburg Global change biology 19 (6), 1953-1964, 2013 | 231 | 2013 |
| Barest pixel composite for agricultural areas using landsat time series S Diek, F Fornallaz, ME Schaepman, R De Jong Remote Sensing 9 (12), 1245, 2017 | 201 | 2017 |
| Monitoring plant condition and phenology using infrared sensitive consumer grade digital cameras W Nijland, R De Jong, SM De Jong, MA Wulder, CW Bater, NC Coops Agricultural and Forest Meteorology 184, 98-106, 2014 | 200 | 2014 |
| Variability and evolution of global land surface phenology over the past three decades (1982–2012) I Garonna, R de Jong, ME Schaepman Global change biology 22 (4), 1456-1468, 2016 | 177 | 2016 |
| Predicting missing values in spatio-temporal remote sensing data F Gerber, R de Jong, ME Schaepman, G Schaepman-Strub, R Furrer IEEE Transactions on Geoscience and Remote Sensing 56 (5), 2841-2853, 2018 | 163 | 2018 |
| Unusual forest growth decline in boreal North America covaries with the retreat of Arctic sea ice MP Girardin, XJ Guo, R De Jong, C Kinnard, P Bernier, F Raulier Global change biology 20 (3), 851-866, 2014 | 98 | 2014 |
| Quantitative mapping of global land degradation using Earth observations R de Jong, S de Bruin, M Schaepman, D Dent International Journal of Remote Sensing 32 (21), 6823-6853, 2011 | 93 | 2011 |
| Global and regional variability and change in terrestrial ecosystems net primary production and NDVI: A model-data comparison R Rafique, F Zhao, R De Jong, N Zeng, GR Asrar Remote Sensing 8 (3), 177, 2016 | 90 | 2016 |
| Determination of grassland use intensity based on multi-temporal remote sensing data and ecological indicators MG Giménez, R de Jong, R Della Peruta, A Keller, ME Schaepman Remote sensing of environment 198, 126-139, 2017 | 79 | 2017 |
| Comparative study of three satellite image time-series decomposition methods for vegetation change detection A Ben Abbes, O Bounouh, IR Farah, R de Jong, B Martínez European Journal of Remote Sensing 51 (1), 607-615, 2018 | 78 | 2018 |
| Linear trends in seasonal vegetation time series and the modifiable temporal unit problem R de Jong, S de Bruin Biogeosciences 9 (1), 71-77, 2012 | 67 | 2012 |
| Creating multi-temporal composites of airborne imaging spectroscopy data in support of digital soil mapping S Diek, ME Schaepman, R De Jong Remote Sensing 8 (11), 906, 2016 | 60 | 2016 |
| Spatial variation of human influences on grassland biomass on the Qinghai-Tibetan plateau C Li, R de Jong, B Schmid, H Wulf, ME Schaepman Science of the Total Environment 665, 678-689, 2019 | 59 | 2019 |
| Changes in grassland cover and in its spatial heterogeneity indicate degradation on the Qinghai-Tibetan Plateau C Li, R de Jong, B Schmid, H Wulf, ME Schaepman Ecological Indicators 119, 106641, 2020 | 56 | 2020 |
Michael E. SchaepmanPresident and Professor of Remote Sensing, University of ZurichPreverjeni e-poštni naslov na geo.uzh.ch