Faculty of Mathematics and Natural Sciences - Earth Observation Lab

Dirk Pflugmacher, Dr.

Dirk Pflugmacher Dr.
Status Research Associate P FOTO
E-Mail dirk.pflugmacher@geo.hu-berlin.de
Office location Rudower Chaussee 16, Room 2'223
Phone +49 (0)30 2093-9433
Fax +49 (0)30 2093-6848
Postal address Unter den Linden 6, 10099 Berlin, Germany

Research interests

Remote sensing applications in forest ecology, forest disturbance ecology, land use science, carbon cycle, time series analysis, big data

Curriculum Vitae

2012 - now

Research associate, Geography Department, Humboldt-University of Berlin, Germany

2013 - 2018

Associate Editor, Remote Sensing of Environment

2008 - 2011 PhD, Forest Science, Oregon State University, USA
2005 - 2007

MSc, Forest Science, Oregon State University, USA


Diploma, Forestry, University of Applied Sciences Eberswalde, Germany

Selected publications

Hemmerling, J., Pflugmacher, D., & Hostert, P., 2021. Mapping temperate forest tree species using dense Sentinel-2 time series. Remote Sens Environ, 267

Pflugmacher, D., Rabe, A., Peters, M., Hostert, P., 2019. Mapping pan-European land cover using Landsat spectral-temporal metrics and the European LUCAS survey. Remote Sens. Environ. 221, 583–595.

Grogan, K., Pflugmacher, D., Hostert, P., Mertz, O., Fensholt, R., 2019. Unravelling the link between global rubber price and tropical deforestation in Cambodia. Nat. Plants 5, 47–53.

Senf, C., Pflugmacher, D., Zhiqiang, Y., Sebald, J., Knorn, J., Neumann, M., Hostert, P., Seidl, R., 2018. Canopy mortality has doubled in Europe’s temperate forests over the last three decades. Nat. Commun. 9, 4978.

Senf, C., Pflugmacher, D., Heurich, M., & 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

Pflugmacher, D., Cohen, W.B., Kennedy, R.E., & Yang, Z. (2014). Using Landsat-derived disturbance and recovery history and lidar to map forest biomass dynamics. Remote Sensing of Environment, 151, 124-137