Faculty of Mathematics and Natural Sciences - Earth Observation Lab

Dr. rer. nat. Benjamin Jakimow

Dr. rer. nat. Benjamin Jakimow
benjamin.jakimow (at) geo.hu-berlin.de
Status Researcher FB_IMG_1432616305541.jpg
E-Mail benjamin.jakimow@geo.hu-berlin.de
Office location Rudower Chaussee 16, Room 2'211
Phone +49 (0)30 2093-6846
Fax +49 (0)30 2093-6877
Postal address Unter den Linden 6, 10099 Berlin, Germany

About me

I am a Diplom-Geographer with a background in remote sensing, informatics and agricultural sciences. My research focusses on land-use intensification in the Brazilian Amazon and how we can describe it by means of remote sensing.


Curriculum Vitae

since 07/2015

Doctoral Researcher. Geomatics Lab, HU-Berlin, Germany.

since 04/2011

Research Assistant. Geomatics Lab, HU-Berlin, Germany.


German Armed Forces

  • Reservist (LogUstgBtl), Mazar-e Sharif, Afghanistan.
2009 Internship ARC-GREENLAB GmbH, Berlin, Germany.
2008 - 2009

Erasmus Student. Lunds University, Sweden.

  • Climate change and its impacts on the environment
  • Global ecosystem dynamics
  • Ecosystem modelling and hydrology
2008 Internship German Aerospace Center (DLR), Berlin, Germany.

2004 - 2011

Study of Physical Geography. HU-Berlin, Germany.

  • Focus on remote sensing and geoinformation systems.
  • Subsidary subjects computer science and agricultural science.
2000 - 2004

German Armed Forces

  • Paratrooper (3./FschJgBtl 373), Doberlug-Kirchhain, Germany.
  • 2003 Deployment to Kabol, Afghanistan.

Please find my full CV on https://www.linkedin.com/in/benjamin-jakimow/


Jakimow, B., van der Linden, S., Thiel, F., Frantz, D., & Hostert, P. (2020). Visualizing and labeling dense multi-sensor earth observation time series: The EO Time Series Viewer. Environmental Modelling & Software, 125. doi: 10.1016/j.envsoft.2020.104631

Jakimow, B., Griffiths, P., van der Linden, S., & Hostert, P. (2018). Mapping pasture management in the Brazilian Amazon from dense Landsat time series. Remote Sensing of Environment, 205, 453-468. doi: 10.1016/j.rse.2017.10.009

Griffiths, P., Jakimow, B., & Hostert, P. (2018). Reconstructing long term annual deforestation dynamics in Pará and Mato Grosso using the Landsat archive. Remote Sensing of Environment, 216, 497-513. doi: 10.1016/j.rse.2018.07.010

Hostert, P., Griffiths, P., Jakimow, B., Waske, B., & Hagensieker, R. (2017). Schlussbericht SENSE-CARBON - Nutzung von Sentinel Daten zu Kohlenstoffquantifizierung und REDD+Monitoring. Berlin. doi: 10.2314/GBV:1010726803

Hagensieker, R., Roscher, R., Rosentreter, J., Jakimow, B., & Waske, B. (2017). Tropical land use land cover mapping in Pará (Brazil) using discriminative Markov random fields and multi-temporal TerraSAR-X data. International Journal of Applied Earth Observation and Geoinformation, 63(Supplement C), 244-256. doi: 10.1016/j.jag.2017.07.019

van der Linden, S., Rabe, A., Held, M., Jakimow, B., Leitão, P., Okujeni, A., . . . Hostert, P. (2015). The EnMAP-Box—A Toolbox and Application Programming Interface for EnMAP Data Processing. Remote Sensing, 7(9), 11249. doi: 10.3390/rs70911249

Okujeni, A., van der Linden, S., Jakimow, B., Rabe, A., Verrelst, J., & Hostert, P. (2014). A Comparison of Advanced Regression Algorithms for Quantifying Urban Land Cover. Remote Sensing, 6(7), 6324. doi: 10.3390/rs6076324

Waske, B., van der Linden, S., Oldenburg, C., Jakimow, B., Rabe, A., & Hostert, P. (2012). imageRF – A user-oriented implementation for remote sensing image analysis with Random Forests. Environmental Modelling & Software, 35, 192-193. doi: 10.1016/j.envsoft.2012.01.014

Data & Software

EO Time Series Viewer - A QGIS Plugin to visualize remote sensing time series data. https://plugins.qgis.org/plugins/timeseriesviewerplugin/

EnMAP-Box: The EnMAP Box is a freely available, platform-independent software designed to process hyperspectral remote sensing data, and particularly developed to handle data from the EnMAP sensor. It is distributed as Free and Open Source Software (FOSS). https://bitbucket.org/hu-geomatics/enmap-box

Virtual Raster Builder. https://plugins.qgis.org/plugins/vrtbuilderplugin/

Bit Flag Renderer. https://plugins.qgis.org/plugins/BitFlagRenderer/