| Remote sensing of grassland production and management—A review S Reinermann, S Asam, C Kuenzer Remote Sensing 12 (12), 1949, 2020 | 213 | 2020 |
| The effect of droughts on vegetation condition in Germany: an analysis based on two decades of satellite earth observation time series and crop yield statistics S Reinermann, U Gessner, S Asam, C Kuenzer, S Dech Remote Sensing 11 (15), 1783, 2019 | 75 | 2019 |
| Retrieval of Leaf Area Index in mountain grasslands in the Alps from MODIS satellite imagery L Pasolli, S Asam, M Castelli, L Bruzzone, G Wohlfahrt, M Zebisch, ... Remote Sensing of Environment 165, 159-174, 2015 | 73 | 2015 |
| 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 | 69 | 2020 |
| Relationship between spatiotemporal variations of climate, snow cover and plant phenology over the Alps—an earth observation-based analysis S Asam, M Callegari, M Matiu, G Fiore, L De Gregorio, A Jacob, A Menzel, ... Remote Sensing 10 (11), 1757, 2018 | 50 | 2018 |
| Mapping crop types of Germany by combining temporal statistical metrics of Sentinel-1 and Sentinel-2 time series with LPIS data S Asam, U Gessner, R Almengor González, M Wenzl, J Kriese, C Kuenzer Remote Sensing 14 (13), 2981, 2022 | 42 | 2022 |
| A comparison of the signal from diverse optical sensors for monitoring alpine grassland dynamics M Rossi, G Niedrist, S Asam, G Tonon, E Tomelleri, M Zebisch Remote Sensing 11 (3), 296, 2019 | 35 | 2019 |
| Land surface phenology and greenness in Alpine grasslands driven by seasonal snow and meteorological factors J Xie, T Jonas, C Rixen, R de Jong, I Garonna, C Notarnicola, S Asam, ... Science of the Total Environment 725, 138380, 2020 | 34 | 2020 |
| Derivation of leaf area index for grassland within alpine upland using multi-temporal RapidEye data S Asam, H Fabritius, D Klein, C Conrad, S Dech International Journal of Remote Sensing 34 (23), 8628-8652, 2013 | 34 | 2013 |
| LiDAR derived topography and forest stand characteristics largely explain the spatial variability observed in MODIS land surface phenology G Misra, A Buras, M Heurich, S Asam, A Menzel Remote Sensing of Environment 218, 231-244, 2018 | 33 | 2018 |
| Detection of grassland mowing events for Germany by combining Sentinel-1 and Sentinel-2 time series S Reinermann, U Gessner, S Asam, T Ullmann, A Schucknecht, ... Remote Sensing 14 (7), 1647, 2022 | 29 | 2022 |
| Estimation of grassland use intensities based on high spatial resolution LAI time series S Asam, D Klein, S Dech The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2015 | 28 | 2015 |
| Ground and satellite phenology in alpine forests are becoming more heterogeneous across higher elevations with warming G Misra, S Asam, A Menzel Agricultural and Forest Meteorology 303, 108383, 2021 | 27 | 2021 |
| 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 | 22 | 2021 |
| Spring temperature and snow cover climatology drive the advanced springtime phenology (1991–2014) in the European Alps J Xie, F Hüsler, R de Jong, B Chimani, S Asam, Y Sun, ME Schaepman, ... Journal of Geophysical Research: Biogeosciences 126 (3), e2020JG006150, 2021 | 22 | 2021 |
| Estimating dry biomass and plant nitrogen concentration in pre-Alpine grasslands with low-cost UAS-borne multispectral data–a comparison of sensors, algorithms, and predictor sets A Schucknecht, B Seo, A Krämer, S Asam, C Atzberger, R Kiese Biogeosciences 19 (10), 2699-2727, 2022 | 21 | 2022 |
| 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 | 20 | 2021 |
| 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 | 16 | 2023 |
| Hedgerow object detection in very high-resolution satellite images using convolutional neural networks S Ahlswede, S Asam, A Röder Journal of Applied Remote Sensing 15 (1), 018501-018501, 2021 | 12 | 2021 |
| Deep learning on synthetic data enables the automatic identification of deficient forested windbreaks in the Paraguayan Chaco J Kriese, T Hoeser, S Asam, P Kacic, E Da Ponte, U Gessner Remote Sensing 14 (17), 4327, 2022 | 10 | 2022 |
