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INSTITUTE OF GEOGRAPHY AND GEOLOGY

Ruben Remelgado, M.Sc.

Department of Remote Sensing

Phone: +49 (0) 931 31-83562
E-Mail: ruben.remelgado(at)uni-wuerzburg.de

Institute of Geography and Geology
Oswald-Külpe-Weg 86
97074 Würzburg

Campus Hubland Nord
Building 86
Room 01.004

Consultation time

upon request

Research

Researcher working on animal movements modeling with remote sensing data.

Interests:

  • change detection
  • multi-temporal image analysis methods
  • spatial and statistical modeling
Curriculum Vitae

Studies

09/2011 – 06/2013
Masters in Physical Geography at the University of Lisbon, Portugal, with the thesis “Analysis of in Situ measurements supported by Earth observation data for the identification of drought events in South Tyrol”

09/2008 – 07/2011
Bachelor in Geography from the University of Porto, Portugal

Internships

07/2012 – 07/2012
Research assistant at the Higher Institute of Agronomy (ISA) focusing on forest cover dynamics in relation to long-term fire regimes.

09/2011 – 09/2011
Internship at Bio3, Aveiro, Portugal, focusing on environmental impact assessment research on the impact of renewal energy development on animals

10/2010 – 06/2011
Research assistant at the department of Physical geography of the University of Porto, Portugal, focusing on updating and developing decision support systems for natural hazard response and intervention

Assistantships

08/2012 – 03/2015
Junior researcher at the European Academy of Bolzano (EURAC) in Bolzano, Italy, working on HR Land cover classification, multi-temporal change detection algorithms and Image processing and analysis.

Publications

Journal Articles

  • Remelgado, R., Leutner, B., Safi, K., Sonnenschein, R., Kuebert, C., and Wegmann, M. (2017) Linking animal movement and remote sensing – mapping resource suitability from a remote sensing perspective, Remote Sensing in Ecology and Conservation.
     
  • Tedim, F., Remelgado, R., Martins, J., and Carvalho, S. (2015) The largest forest fires in Portugal: the constraints of burned area size on the comprehension of fire severity, Journal of Environmental Biology36, 133-143.
     
  • Pasoli, L., Notarnicola, C., Bertoldi, G., Bruzzone, L., Remelgado, R., Greifender, F., Niedrist, G., Della Chiesa, S., Tappeiner, U., and Zebisch, M. (2015) Estimation of Soil Moisture in Mountain Areas Using SVR Technique Applied to Multiscale Active Radar Images at C-Band, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing8, 262-283.
     
  • Tedim, F., Remelgado, R., Borges, C., Carvalho, S., and Martins, J. (2013) Exploring the occurrence of mega-fires in Portugal, Forest Ecology and Management294, 86 - 96.
     

Conference Contributions

  • Remelgado, R., and Wegmann, M. (2017) Towards Behavior Dependent Species Distribution Modeling. In 37th International Symposium of Remote Sensing of Environment, p 473, Tshwane, South Africa.
     
  • Remelgado, R., Wegmann, M., and Kamran, S. (2016) Remote Sensing in Movement Ecology: Scale Dependencies of Space Use. In Living Planet Symposium - Europen Space Agency (ESA), Prague, Czech Republic.
     
  • Remelgado, R., Sonnenschein, R., and Notarnicola, C. (2014) Forest damage assessment using SAR and optical data: evaluating the potential for rapid mapping in mountains. In Special Issue 1: 34th EARSeL Symposium, pp 76-81, EARSeL eProceedings.
     

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Contact

Chair of Remote Sensing
Oswald-Külpe-Weg 86
Campus Hubland Nord
97074 Würzburg

Email

Find Contact

Hubland Süd, Geb. G1
Hubland Süd, Geb. G1
Hubland Nord, Geb. 86
Hubland Nord, Geb. 86