| Remote sensing of forest insect disturbances: Current state and future directions C Senf, R Seidl, P Hostert International journal of applied earth observation and geoinformation 60, 49-60, 2017 | 198 | 2017 |
| Canopy mortality has doubled in Europe’s temperate forests over the last three decades C Senf, D Pflugmacher, Y Zhiqiang, J Sebald, J Knorn, M Neumann, ... Nature Communications 9 (1), 4978, 2018 | 193 | 2018 |
| Excess forest mortality is consistently linked to drought across Europe C Senf, A Buras, CS Zang, A Rammig, R Seidl Nature communications 11 (1), 6200, 2020 | 179 | 2020 |
| Mapping land cover in complex Mediterranean landscapes using Landsat: Improved classification accuracies from integrating multi-seasonal and synthetic imagery C Senf, PJ Leitão, D Pflugmacher, S van der Linden, P Hostert Remote Sensing of Environment 156, 527-536, 2015 | 168 | 2015 |
| Mapping the forest disturbance regimes of Europe C Senf, R Seidl Nature Sustainability 4, 63-70, 2021 | 163 | 2021 |
| Patterns and drivers of recent disturbances across the temperate forest biome A Sommerfeld, C Senf, B Buma, AW D’Amato, T Després, ... Nature communications 9 (1), 4355, 2018 | 163 | 2018 |
| Mapping rubber plantations and natural forests in Xishuangbanna (Southwest China) using multi-spectral phenological metrics from MODIS time series C Senf, D Pflugmacher, S Van der Linden, P Hostert Remote Sensing 5 (6), 2795-2812, 2013 | 123 | 2013 |
| Characterizing spectral–temporal patterns of defoliator and bark beetle disturbances using Landsat time series C Senf, D Pflugmacher, MA Wulder, P Hostert Remote Sensing of Environment 170, 166-177, 2015 | 119 | 2015 |
| Natural disturbances are spatially diverse but temporally synchronized across temperate forest landscapes in Europe C Senf, R Seidl Global change biology 24 (3), 1201-1211, 2018 | 95 | 2018 |
| Globally consistent climate sensitivity of natural disturbances across boreal and temperate forest ecosystems R Seidl, J Honkaniemi, T Aakala, A Aleinikov, P Angelstam, M Bouchard, ... Ecography, 2020 | 84 | 2020 |
| Using Landsat time series for characterizing forest disturbance dynamics in the coupled human and natural systems of Central Europe C Senf, D Pflugmacher, H Patrick, R Seidl ISPRS Journal of Photogrammetry and Remote Sensing 130, 453-463, 2017 | 76 | 2017 |
| Estimating fractional shrub cover using simulated EnMAP data: A comparison of three machine learning regression techniques M Schwieder, PJ Leitão, S Suess, C Senf, P Hostert Remote Sensing 6 (4), 3427-3445, 2014 | 63 | 2014 |
| Storm and fire disturbances in Europe: Distribution and trends C Senf, R Seidl Global change biology 27 (15), 3605-3619, 2021 | 57 | 2021 |
| Characterizing spring phenology of temperate broadleaf forests using Landsat and Sentinel-2 time series K Kowalski, C Senf, P Hostert, D Pflugmacher International Journal of Applied Earth Observation and Geoinformation 92, 102172, 2020 | 55 | 2020 |
| Post-disturbance recovery of forest cover and tree height differ with management in Central Europe C Senf, J Müller, R Seidl Landscape Ecology 34, 2837-2850, 2019 | 55 | 2019 |
| Concerns about reported harvests in European forests M Palahí, R Valbuena, C Senf, N Acil, TAM Pugh, J Sadler, R Seidl, ... Nature 592 (7856), E15-E17, 2021 | 53 | 2021 |
| The effects of forest cover and disturbance on torrential hazards: large-scale evidence from the Eastern Alps J Sebald, C Senf, M Heiser, C Scheidl, D Pflugmacher, R Seidl Environmental Research Letters 14 (11), 114032, 2019 | 51 | 2019 |
| A Bayesian hierarchical model for estimating spatial and temporal variation in vegetation phenology from Landsat time series C Senf, D Pflugmacher, M Heurich, T Krueger Remote Sensing of Environment 194, 155-160, 2017 | 50 | 2017 |
| Using intra-annual Landsat time series for attributing forest disturbance agents in Central Europe J Oeser, D Pflugmacher, C Senf, M Heurich, P Hostert Forests 8 (7), 251, 2017 | 46 | 2017 |
| Habitat metrics based on multi‐temporal Landsat imagery for mapping large mammal habitat J Oeser, M Heurich, C Senf, D Pflugmacher, E Belotti, T Kuemmerle Remote Sensing in Ecology and Conservation 6 (1), 52-69, 2020 | 45 | 2020 |
Rupert SeidlProfessor, Technical University of MunichBestätigte E-Mail-Adresse bei tum.de
