| Copernicus global land cover layers—collection 2 M Buchhorn, M Lesiv, NE Tsendbazar, M Herold, L Bertels, B Smets Remote Sensing 12 (6), 1044, 2020 | 633 | 2020 |
| Copernicus global land service: land cover 100m: collection 3 Epoch 2015, Globe M Buchhorn, B Smets, L Bertels, B De Roo, M Lesiv, NE Tsendbazar, ... Version V3. 0.1)[Data set], 2020 | 569* | 2020 |
| Copernicus global land service: Land cover 100m: Version 3 Globe 2015-2019: Product user manual M Buchhorn, B Smets, L Bertels, B De Roo, M Lesiv, NE Tsendbazar, L Li, ... Zenodo, 2020 | 113* | 2020 |
| Degradation and stabilization of ice wedges: Implications for assessing risk of thermokarst in northern Alaska M Kanevskiy, Y Shur, T Jorgenson, DRN Brown, N Moskalenko, J Brown, ... Geomorphology 297, 20-42, 2017 | 106 | 2017 |
| Towards operational validation of annual global land cover maps N Tsendbazar, M Herold, L Li, A Tarko, S De Bruin, D Masiliunas, M Lesiv, ... Remote Sensing of Environment 266, 112686, 2021 | 75 | 2021 |
| Circumpolar Arctic Vegetation Classification in Phytocoenologia D Walker | 71 | 2017 |
| Copernicus global land service: land cover 100m: version 3 globe 2015-2019: algorithm theoretical basis document M Buchhorn, L Bertels, B Smets, B De Roo, M Lesiv, NE Tsendbazar, ... Zenodo, 2020 | 70* | 2020 |
| Developing and applying a multi-purpose land cover validation dataset for Africa NE Tsendbazar, M Herold, S De Bruin, M Lesiv, S Fritz, ... Remote Sensing of Environment 219, 298-309, 2018 | 67 | 2018 |
| Circumpolar Arctic vegetation: a hierarchic review and roadmap toward an internationally consistent approach to survey, archive and classify tundra plot data DA Walker, FJA Daniëls, I Alsos, US Bhatt, AL Breen, M Buchhorn, ... Environmental Research Letters 11 (5), 055005, 2016 | 61 | 2016 |
| Global forest management data for 2015 at a 100 m resolution M Lesiv, D Schepaschenko, M Buchhorn, L See, M Dürauer, I Georgieva, ... Scientific Data 9 (1), 199, 2022 | 59 | 2022 |
| Ground-based hyperspectral characterization of Alaska tundra vegetation along environmental gradients M Buchhorn, DA Walker, B Heim, MK Raynolds, HE Epstein, M Schwieder Remote Sensing 5 (8), 3971-4005, 2013 | 55 | 2013 |
| Differentiating among four Arctic tundra plant communities at Ivotuk, Alaska using field spectroscopy SN Bratsch, HE Epstein, M Buchhorn, DA Walker Remote Sensing 8 (1), 51, 2016 | 51 | 2016 |
| Influence of BRDF on NDVI and biomass estimations of Alaska Arctic tundra M Buchhorn, MK Raynolds, DA Walker Environmental Research Letters 11 (12), 125002, 2016 | 39 | 2016 |
| Global land characterisation using land cover fractions at 100 m resolution D Masiliūnas, NE Tsendbazar, M Herold, M Lesiv, M Buchhorn, ... Remote Sensing of Environment 259, 112409, 2021 | 37 | 2021 |
| Evaluation of ESA CCI prototype land cover map at 20m M Lesiv, S Fritz, I McCallum, N Tsendbazar, M Herold, JF Pekel, ... WP-17-021, 2017 | 37 | 2017 |
| The alaska arctic vegetation archive (ava-ak) D Walker, A Breen, L Druckenmiller, LW Wirth, W Fisher, MK Raynolds, ... Phytocoenologia, 2016 | 35* | 2016 |
| Relationships between hyperspectral data and components of vegetation biomass in Low Arctic tundra communities at Ivotuk, Alaska S Bratsch, H Epstein, M Buchhorn, D Walker, H Landes Environmental Research Letters 12 (2), 025003, 2017 | 32 | 2017 |
| Thirty years of land cover and fraction cover changes over the Sudano-Sahel using Landsat time series N Souverijns, M Buchhorn, S Horion, R Fensholt, H Verbeeck, ... Remote Sensing 12 (22), 3817, 2020 | 28 | 2020 |
| Regionale und globale räumliche Verteilung von Biomassepotenzialen K Bunzel, V Zeller, M Buchhorn, F Griem, D Thrän German Biomass Research Center, Leipzig, 2009 | 25 | 2009 |
| A manual transportable instrument platform for ground-based spectro-directional observations (ManTIS) and the resultant hyperspectral field goniometer system M Buchhorn, R Petereit, B Heim Sensors 13 (12), 16105-16128, 2013 | 22 | 2013 |
Bruno SmetsVITO BelgiumVerified email at vito.be
