Publications

You can access free preprints of all my non-open-access articles under following Dropbox folder. For manuscripts currently submitted or in review, please see my full CV.

Peer-reviewed papers

[16] Senf, C., Pflugmacher, D., Zhiqiang, Y., Sebald, J., Knorrn, J., Neumann, M., Hostert, P. and Seidl, R. (2018) Canopy mortality has doubled across Europe’s temperate forests in the last three decades. Nature Communications, 9, 4978. https://doi.org/10.1038/s41467-018-07539-6

[15] Sommerfeld, A., Senf, C., Buma, B., D’Amato, A. W., Després, T., Díaz-Hormazábal, I., Fraver, S., Frelich, L. E., Gutiérrez, Á. G., Hart, S. J., Harvey, B. J., He, H. S., Hlásny, T., Holz, A., Kitzberger, T., Kulakowski, D., Lindenmayer, D., Mori, A. S., Müller, J., Paritsis, J., Perry, G., Stephens, S., Svoboda, M., Turner, M. G., Veblen, T. T., and Seidl, R. (2018) Patterns and drivers of recent disturbances across the temperate forest biome. Both authors contributed equally. Nature Communications, 9, 4355. https://doi.org/10.1038/s41467-018-06788-9

[14] Senf, C. and Seidl R. (2018) Natural disturbances are spatially diverse but temporally synchronized across temperate forest landscapes in Europe. Global Change Biology, 24(3), 1201-1211. https://doi.org/10.1111/gcb.13897

[13] Senf, C., Pflugmacher, D., Hostert, P. and Seidl, R. (2017) Using Landsat time series for characterizing forest disturbance dynamics in the coupled human and natural systems of Central Europe. ISPRS Journal of Photogrammetry and Remote Sensing, 130, 453-463. https://doi.org/10.1016/j.isprsjprs.2017.07.004

[12] Oeser, J., Pflugmacher, D., Senf, C., Heurich, M. and Hostert, P. (2017) Using intra-annual Landsat time series for attributing forest disturbance agents in Central Europe. Forests, 8, 251. https://doi.org/10.3390/f8070251

[11] Senf, C., Seidl, R. and Hostert, P. (2017) Remote sensing of forest insect disturbances: current state and future directions. International Journal of Applied Earth Observation and Geo-information, 60, 49-60. https://doi.org/10.1016/j.jag.2017.04.004

[10] Senf, C., Pflugmacher, D., Heurich, M. and Krueger T. (2017) A Bayesian hierarchical model for estimating spatial and temporal variation in vegetation phenology from Landsat time series. Remote Sensing of Environment, 194, 155-160. https://doi.org/10.1016/j.rse.2017.03.020

[9] Leitão, J. P., Schwieder, M. and Senf, C. (2017) sgdm: an R package for performing sparse generalized dissimilarity modelling, including tools for gdm. ISPRS International Journal of Geo-Information, 6(1), 23-35. https://doi.org/10.3390/ijgi6010023

[8] Senf, C., Campbell, E., Wulder, M. A., Pflugmacher, D. and Hostert P. (2017) A multi-scale analysis of western spruce budworm spatiotemporal outbreak patterns. Landscape Ecology, 32(3), 501-514. https://doi.org/10.1007/s10980-016-0460-0

[7] Kehoe, L., Senf, C., Meyer, C., Gerstner, K., Kreft, H. and Kuemmerle, T. (2017) Land cover and land-use intensity rival biomes in predicting global species richness. Ecography, 40, 1118-1128. https://doi.org/10.1111/ecog.02508

[6] Senf, C., Wulder, M. A., Campbell, E. and Hostert P. (2016) Using Landsat to assess the relationship between spatiotemporal patterns of western spruce budworm outbreaks and regional-scale weather variability. Canadian Journal of Remote Sensing, 42(6), 706-718. https://doi.org/10.1080/07038992.2016.1220828

[5] Senf, C., Pflugmacher, D., Wulder, M. A. and Hostert, P. (2015) Characterizing spectral-temporal patterns of defoliator and bark beetle disturbances using Landsat time series. Remote Sensing of Environment, 170, 166-177. https://doi.org/10.1016/j.rse.2015.09.019

[4] Held, M., Rabe, A., Senf, C., van der Linden, S. and Hostert, P. (2015) Analyzing Hyperspectral and Hypertemporal Data by Decoupling Feature Redundancy and Feature Relevance. IEEE Geoscience and Remote Sensing Letters, 12(5), 983-987. https://doi.org/ 10.1109/LGRS.2014.2371242

[3] Senf, C., Leitão, J.P., Pflugmacher, D., van der Linden, S. and Hostert, P. (2015) Mapping land cover in complex Mediterranean landscapes using Landsat: Improved classification accuracies from integrating multi-seasonal and synthetic imagery. Remote Sensing of Environment, 156, 527-536. https://doi.org/10.1016/j.rse.2014.10.018

[2] Schwieder, M., Leitão, J.P., Suess, S., Senf, C. and Hostert, P. (2014) Estimating fractional shrub cover using simulated EnMAP data: A comparison of three machine learning regression techniques. Remote Sensing, 6(4), 3427-3445. https://doi.org/10.3390/rs6043427

[1] Senf, C., Pflugmacher, D., van der Linden, S. and Hostert, P. (2013) Mapping Rubber Plantations and Natural Forests in Xishuangbanna (Southwest China) Using Multi-Spectral Phenological Metrics from MODIS Time Series. Remote Sensing, 5(6), 2795-2812. https://doi.org/10.3390/rs5062795

Conference papers and posters

[24] Senf, C., Pflugmacher, D., Zhiqiang, Y., Sebald, S., Knorrn, J., Hostert, P., and Seidl, R. (2018) A first consistent estimation of recent trends in forest disturbances for Central Europe. EGU General Assembly 2018. Vienna, Austria.

[23] Senf, C., Müller, J., and Seidl, R. (2018) Landsat time series allow for the quantification of forest management and patch size effects on post-disturbance recovery trajectories. EGU General Assembly 2018. Vienna, Austria.

[22] Lebek, K., Senf, C., and Krueger, T. (2018) Separating the effects of timber plantations and climate variability on streamflow in a sub-catchment of the Umvoti River Basin, Kwazulu-Natal. EGU General Assembly 2018. Vienna, Austria.

[21] Jung, H., Senf, C., and Krueger, T. (2018) Benchmarking uncertainty quantification of water quality monitoring using high-frequency phosphorus data: comparison of Bayesian inference and bootstrap. EGU General Assembly 2018. Vienna, Austria.

[20] Pflugmacher, D., Senf, C., Yang, Y., Cohen, W. and Hostert, P. (2017) Long-term trends and patterns of forest disturbance dynamics in Central Europe from Landsat time series. IUFRO 125th Anniversary Congress 2017. Freiburg, Germany.

[19] Senf, C., Seidl, R. and Hostert, P. (2017) Multi-scale drivers of forest disturbances across European temperate forests. IUFRO 125th Anniversary Congress 2017. Freiburg, Germany.

[18] Senf, C. and Seidl, R. (2017) Similarities and differences in forest disturbance patterns across the European temperate forest biome. 2nd International Conference on Forests. Bavarian Forest National Park, Neuschönau, Germany.

[17] Senf, C., Pflugmacher, D., Heurich, M.. and Krueger, T. (2017) Landscape and climate controls on spatiotemporal patterns of European beech phenology tracked from Landsat data. EGU General Assembly 2017. Vienna, Austria.

[16] Senf, C., Seidl, R. and Hostert, P. (2017) Similarities and differences in forest disturbance dynamics across the European temperate forest biome. The 10th Annual Meeting of the Macroecology Working Group for the Ecological Society Germany, Austria & Switzerland. Vienna, Austria. 

[15] Pflugmacher, D., Senf, C., Yang, Z., Oeser, J., Cohen, W. and Hostert, P. (2017) Opportunities and challenges for monitoring European forest disturbance dynamics with prospects for the Sentinel-2 mission. ESA WorldCover 2017. Frascati, Italy.

[14] Senf, C., Pflugmacher, D., Seidl, R. and Hostert, P. (2017) Mapping forest disturbances in European temperate forests using Landsat time series: Issues of disturbance detection in coupled human and natural systems. ESA WorldCover 2017. Frascati, Italy.

[13] Senf, C., Pflugmacher, D., Wulder, M. A. and Hostert, P. (2016) Using Landsat time series to analyse patterns and drivers of forest insect disturbances. ESA Living Planet Symposium 2016. Prague, Czech Republic.

[12] Pflugmacher, D., Senf, C., Oeser, J. and Hostert, P. (2016) Characterizing thirty years of forest disturbance dynamics using Landsat time series. Forum Carpaticum 2016. Bucharest, Romania.

[11] Pflugmacher, D., Senf, C. and Hostert, P. (2016) Opportunities and challenges for monitoring European forest dynamics with prospects for the Sentinel-2 mission. ESA Living Planet Symposium 2016. Prague, Czech Republic.

[10] Senf, C., Pflugmacher, D., Wulder, M. A. and Hostert, P. (2015) Separating defoliator and bark beetle disturbances using Landsat time series. Multitemp 2015 – 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images. Annecy, France.

[9] Hostert P., Baumann M., Griffiths P., Kuemmerle T., Kuenzer C., van der Linden S., Müller H., Pflugmacher D., Rufin P. and Senf C. (2015) Time series analysis: Potentials and challenges exploiting optical satellite data for Land System Science. 36th International Symposium on Remote Sensing of Environment (ISRSE). Berlin, Germany.

[8] Held, M., Rabe, A., Senf, C., van der Linden, S. and Hostert, P. (2015) Decoupling Feature Redundancy Reduction and Feature Ranking for Hyperspectral Data. 9th EARSeL SIG Imaging Spectroscopy Workshop. Luxenborg, Luxenborg.

[7] Kehoe, L., Kuemmerle, T., Senf, C., Meyer, C., Gerstner, K. and Kreft, H. (2015) Accounting for land-use intensity and mammal traits in species-area relationships. 27th International Congress for Conservation Biology & 4th European Congress for Conservation Biology. Montpellier, France.

[6] Kehoe, L., Kuemmerle, T., Senf, C., Meyer, C., Levers, C., Václavík, T., Gerstner, K. and Kreft, H. (2015) Global patterns of agricultural land use intensity and biodiversity. 7th International Biogeography Society Meeting. Bayreuth, Germany.

[5] Senf, C. and Hostert, P. (2014) Developing dense synthetic time series by blending Landsat and MODIS for analyzing intra‐and inter‐annual trajectories related to insect forest disturbances. EARSeL SIG LULC &NASA Workshop 2014. Berlin, Germany.

[4] Senf, C., Hostert, P. and van der Linden, S. (2012) Using MODIS Time Series and Random Forest Classification for Mapping Land Use in South-East Asia. 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Munich, Germany.

[3] Senf, C. and Lakes, T. (2012) Comparing support vector regression and statistical linear regression for estimating poverty incidence in Vietnam. In: Gensel, J., Josselin, D. and Vandenbroucke, D.: Bridging the Geographic Information Science–International AGILE 2012 Conference (Avignon, France). Lecture Notes in Geoinformatics and Cartography. Springer. Heidelberg, Germany.

[2] Senf, C., Rufin, R., Tagay, S., Lakes, T. and Senf, W. (2011) Medizinische Versorgungsforschung im Essener Stadtraum aus einer räumlichen Perspektive. In: Strobl, J., Blaschke, T. and Griesbner, G. (Eds.): Angewandte Geoinformatik 2011, Beiträge zum 23. Agit Symposium Salzburg, Wiechmann Verlag, Berlin.

[1] Senf, C., Lakes, T. and Kropp, J. (2010) Possible future impacts of heat waves on urban health: a fuzzy-logic based approach. GI_Forum, Salzburg, Austria.

Theses

[3] Senf, C. (2016) Landscape to regional scale patterns and drivers of forest insect disturbances: A remote sensing based study of western spruce budworm Choristoneura occidentalis in British Columbia, Canada. Doctoral Thesis, Humboldt-Universität zu Berlin. Supervised by Prof. Dr. Patrick Hostert and Dr. Michael A. Wulder.

[2] Senf, C. (2012) Mapping land-use/cover in South-East Asia using MODIS time series and Random Forests classification. Master’s Thesis, Humboldt-Universität zu Berlin. Supervised by Prof. Dr. Patrick Hostert and Dr. Sebastian Van der Linden.

[1] Senf, C. (2010) Possible future impacts on human health in urban areas: heat waves in Berlin. Bachelor’s Thesis, Humboldt-Universität zu Berlin. Supervised by Prof. Dr. Tobia Lakes and Prof. Dr. Jürgen Kropp.