Ruben Remelgado

Scientific Employee

Research interests

As a geographer, I am interested in establishing synergies between different topics and datasets to inform Earth System Science and, ideally, influence political action. Having specialized in remote sensing, I actively use satellite technologies in my research and am flexible in the combination of image analysis and GIS techniques to describe land surface processes on different spatial, temporal and thematic scales.

During my career, I worked on different topics such human and natural hazards, land-cover and land-use change, agricultural water use and animal movement. Now, I bring my expertise to the Macroecology & Society lab at (iDiv), funded by the Volkswagen Foundation, to help map and explain complex, global ecological patterns.

Short CV

Since 2019
Geo-computation specialist of the Freigeist Group “Macroecology and Society” at the German Centre for Integrative Biodiversity Resarch (iDiv) Halle-Jena-Leipzig.

2015-2018
Research Scientist at the Dept. of Remote Sensing of the Julius-Maximilians University of Würzburg, Germany

2012-215
Researcher Scientist at the Institute for Earth Observation of the European Academy of Bolzano (EURAC), Italy

Publications before iDiv

R Remelgado, B Leutner, K Safi, R Sonnenschein, C Kuebert, M Wegmann (2018) Linking animal movement and remote sensing--mapping resource suitability from a remote sensing perspective. Remote Sensing in Ecology and Conservation 4, 211-224.

L Pasolli, C Notarnicola, G Bertoldi, L Bruzzone, R Remelgado, F Greifeneder, G Niedrist, S Della Chiesa, U Tappeiner, M Zebisch (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 Sensing 8, 262-283.

F Tedim, RRemelgado, C Borges, S Carvalho, J Martins (2013) Exploring the occurrence of mega-fires in Portugal. Forest Ecology and Management 294, 86-96.

F Tedim, R Remelgado, S Carvalho, J Martins (2015) The largest forest fires in Portugal: the constraints of burned area size on the comprehension of fire severity. Journal of Environmental Biology 36, 133-143.

iDiv publications

Remelgado, R., Zaitov, S., Kenjabaev, S., Stulina, G., Sultanov, M., Ibrakhimov, M., Akhmedov, M., Dukhovny, V., Conrad, C.

(2020): A crop type dataset for consistent land cover classification in Central Asia. Scientific Data

DOI

Schwalb-Willmann, J., Remelgado, R., Safi, K., Wegmann, M.

(2020): moveVis: Animating movement trajectories in synchronicity with static or temporally dynamic environmental data in R. Methods in Ecology and Evolution

DOI

Remelgado, R., Safi, K., Wegmann, M.

(2019): From ecology to remote sensing: using animals to map land cover. Remote Sensing in Ecology and Conservation

DOI

Remelgado, R., Wegmann, M., Safi, K.

(2019): rsmove-An r package to bridge remote sensing and movement ecology. Methods in Ecology and Evolution

DOI