Cornelius Senf
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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
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
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
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
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
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
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
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
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
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
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
Mapping the forest disturbance regimes of Europe
C Senf, R Seidl
Nature Sustainability 4, 63-70, 2021
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
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
Post-disturbance recovery of forest cover and tree height differ with management in Central Europe
C Senf, J Müller, R Seidl
Landscape Ecology 34 (12), 2837-2850, 2019
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
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
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
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
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
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