| 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 | 121 | 2015 |
| 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 | 100 | 2013 |
| 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 | 84 | 2017 |
| 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 | 73 | 2015 |
| 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), 1-8, 2018 | 58 | 2018 |
| 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), 1-9, 2018 | 57 | 2018 |
| 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 | 48 | 2014 |
| 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 | 44 | 2018 |
| 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 | 40 | 2017 |
| 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 | 32 | 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 | 31 | 2017 |
| A multi-scale analysis of western spruce budworm outbreak dynamics C Senf, EM Campbell, D Pflugmacher, MA Wulder, P Hostert Landscape Ecology 32 (2), 501-514, 2017 | 14 | 2017 |
| Agriculture rivals biomes in predicting global species richness L Kehoe, C Senf, C Meyer, K Gerstner, H Kreft, T Kuemmerle Ecography 40, 1118-1128, 2017 | 10 | 2017 |
| Using MODIS time series and random forests classification for mapping land use in South-East Asia C Senf, P Hostert, S van der Linden 2012 IEEE International Geoscience and Remote Sensing Symposium, 6733-6736, 2012 | 10 | 2012 |
| sgdm: An R package for performing sparse generalized dissimilarity modelling with tools for gdm PJ Leitão, M Schwieder, C Senf ISPRS international journal of geo-information 6 (1), 23, 2017 | 9 | 2017 |
| Using Landsat to assess the relationship between spatiotemporal patterns of western spruce budworm outbreaks and regional-scale weather variability C Senf, MA Wulder, EM Campbell, P Hostert Canadian Journal of Remote Sensing 42 (6), 706-718, 2016 | 9 | 2016 |
| 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 | 8 | 2020 |
| 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 | 7 | 2020 |
| 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 | 6 | 2020 |
| A generalized regression-based unmixing model for mapping forest cover fractions throughout three decades of Landsat data C Senf, J Laštovička, A Okujeni, M Heurich, S van der Linden Remote Sensing of Environment 240, 111691, 2020 | 6 | 2020 |
Patrick HostertGeography, Humboldt Universität zu BerlinVerifierad e-postadress på geo.hu-berlin.de
