Cornelius Senf
TitelZitiert vonJahr
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
692013
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
682015
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
362015
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
332014
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
162017
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
112017
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
102018
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
102017
Using MODIS time series and random forests classification for mapping land use in South-East Asia
C Senf, P Hostert, S van der Linden
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International …, 2012
82012
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
72017
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
52017
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
52017
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
52016
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
32017
Analyzing hyperspectral and hypertemporal data by decoupling feature redundancy and feature relevance
M Held, A Rabe, C Senf, S van der Linden, P Hostert
IEEE Geoscience and Remote Sensing Letters 12 (5), 983-987, 2015
32015
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
12018
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
2018
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