| Priority list of biodiversity metrics to observe from space AK Skidmore, NC Coops, E Neinavaz, A Ali, ME Schaepman, M Paganini, ... Nature ecology & evolution 5 (7), 896-906, 2021 | 218 | 2021 |
| Tree species classification using plant functional traits from LiDAR and hyperspectral data Y Shi, AK Skidmore, T Wang, S Holzwarth, U Heiden, N Pinnel, X Zhu, ... International Journal of Applied Earth Observation and Geoinformation 73 …, 2018 | 139 | 2018 |
| A first assessment of canopy cover loss in Germany’s forests after the 2018–2020 drought years F Thonfeld, U Gessner, S Holzwarth, J Kriese, E Da Ponte, J Huth, ... Remote Sensing 14 (3), 562, 2022 | 106 | 2022 |
| Earth observation based monitoring of forests in Germany: a review S Holzwarth, F Thonfeld, S Abdullahi, S Asam, E Da Ponte Canova, ... Remote Sensing 12 (21), 3570, 2020 | 81 | 2020 |
| The EnMAP imaging spectroscopy mission towards operations T Storch, HP Honold, S Chabrillat, M Habermeyer, P Tucker, M Brell, ... Remote Sensing of Environment 294, 113632, 2023 | 76 | 2023 |
| Retrieval of forest leaf functional traits from HySpex imagery using radiative transfer models and continuous wavelet analysis AM Ali, AK Skidmore, R Darvishzadeh, I van Duren, S Holzwarth, ... ISPRS Journal of Photogrammetry and Remote Sensing 122, 68-80, 2016 | 60 | 2016 |
| HySens-DAIS 7915/ROSIS imaging spectrometers at DLR S Holzwarth, A Muller, M Habermeyer, R Richter, A Hausold, S Thiemann, ... Proceedings of the 3rd EARSeL workshop on imaging spectroscopy, 3-14, 2003 | 57 | 2003 |
| Mapping leaf area index in a mixed temperate forest using Fenix airborne hyperspectral data and Gaussian processes regression R Xie, R Darvishzadeh, AK Skidmore, M Heurich, S Holzwarth, TW Gara, ... International Journal of Applied Earth Observation and Geoinformation 95, 102242, 2021 | 50 | 2021 |
| The SPECTRA Barrax Campaign (SPARC): Overview and first results from CHRIS data J Moreno, L Alonso, G Fernández, J Fortea, S Gandía, L Guanter, J García, ... European Space Agency,(Special Publication) ESA SP, 2004 | 48 | 2004 |
| Potential and challenges of harmonizing 40 years of AVHRR data: The TIMELINE experience S Dech, S Holzwarth, S Asam, T Andresen, M Bachmann, M Boettcher, ... Remote Sensing 13 (18), 3618, 2021 | 28 | 2021 |
| Estimating plant area density of individual trees from discrete airborne laser scanning data using intensity information and path length distribution G Gao, J Qi, S Lin, R Hu, H Huang International Journal of Applied Earth Observation and Geoinformation 118 …, 2023 | 27* | 2023 |
| Mapping individual silver fir trees using hyperspectral and LiDAR data in a Central European mixed forest Y Shi, T Wang, AK Skidmore, S Holzwarth, U Heiden, M Heurich International Journal of Applied Earth Observation and Geoinformation 98, 102311, 2021 | 26 | 2021 |
| Validation of AVHRR Land Surface Temperature with MODIS and in situ LST—A timeline thematic processor P Reiners, S Asam, C Frey, S Holzwarth, M Bachmann, J Sobrino, ... Remote Sensing 13 (17), 3473, 2021 | 25 | 2021 |
| Feature based tree species classification using hyperspectral and lidar data in the Bavarian Forest National Park C Sommer, S Holzwarth, U Heiden, M Heurich, J Müller, W Mauser EARSel eProceedings, Vol. 14, Special Issue 2: 9th EARSeL Imaging …, 2015 | 25 | 2015 |
| Seasonal vegetation trends for Europe over 30 years from a novel normalised difference vegetation index (NDVI) time-series—The TIMELINE NDVI product C Eisfelder, S Asam, A Hirner, P Reiners, S Holzwarth, M Bachmann, ... Remote Sensing 15 (14), 3616, 2023 | 24 | 2023 |
| Priority list of biodiversity metrics to observe from space. Nat Ecol Evol 5: 896–906 AK Skidmore, NC Coops, E Neinavaz, A Ali, ME Schaepman, M Paganini, ... | 23 | 2021 |
| A laboratory for conceiving Essential Biodiversity Variables (EBVs)—The ‘data pool initiative for the bohemian forest ecosystem’ H Latifi, S Holzwarth, A Skidmore, J Brůna, J Červenka, R Darvishzadeh, ... Methods in ecology and evolution 12 (11), 2073-2083, 2021 | 19 | 2021 |
| Including quality measures in an automated processing chain for airborne hyperspectral data M Bachmann, M Habermeyer, S Holzwarth, R Richter, A Müller EARSeL Workshop on Imaging Spectroscopy, Bruges, Belgium, 2007 | 18 | 2007 |
| Ortho image production within an automatic processing chain for hyperspectral airborne scanner ARES R Müller, S Holzwarth, M Habermeyer, A Müller Proceedings of the EARSeL Workshop 3D-Remote Sensing, 2005 | 17 | 2005 |
| Monitoring of river contamination derived from acid mine drainage using airborne imaging spectroscopy (HyMap DATA, SOUTH‐WEST SPAIN) J Buzzi, A Riaza, E García‐Meléndez, V Carrère, S Holzwarth River Research and Applications 32 (1), 125-136, 2016 | 16 | 2016 |
