Maite Lezama Valdes
Remote Sensing and Spatial Modelling Research Group
Institute of Landscape Ecology
Heisenbergstr. 2, D-48149 Münster
room 546
phone +49(0)251-83 33 876
e-mail maite.lezama [at] uni-muenster.de
office hours on appointment
Research Foci
- Downscaling
- machine learning
- remote sensing
CV
Academic Education
- MSc Physical Geography Philipps Universität Marburg
- MA Soziologie und Sozialforschung Philipps Universität Marburg
- BSc Geography Philipps University Marburg
- BA Social Sciences Philipps Universität Marburg
Positions
- Doktorandin am Institut für Landschaftsökologie Münster
- PhD candidate Institute for Geoinformatics Münster
Publications
Research Articles (Journals)
- Datta, R, Katurji, M, Nielsen, E, Meyer, H, Zawar-Reza, P, and Valdes, ML. . “The Winter Foehn Footprint Across McMurdo Dry Valleys of Antarctica Using a Satellite-Derived Data Set-AntAir v1.0.” Journal of Geophysical Research: Atmospheres 129 (23): e2023JD039300.. doi: 10.1029/2023JD039300.
- Lezama Valdes, M, Katurji, M, and Meyer, H. . “A Machine Learning Based Downscaling Approach to Produce High Spatio-Temporal Resolution Land Surface Temperature of the Antarctic Dry Valleys from MODIS Data.” Remote Sensing 13 (22). doi: 10.3390/rs13224673.
- Ludwig, M, Morgenthal, T, Detsch, F, Higginbottom, TP, Lezama Valdes, M, Nauß, T, and Meyer, H. . “Machine learning and multi-sensor based modelling of woody vegetation in the Molopo Area, South Africa.” Remote Sensing of Environment 222: 195–203. doi: 10.1016/j.rse.2018.12.019.
Abstract in a Digital Collection (Conferences)
- Lezama, Valdes M, Katurji, M, and Meyer, H. . “Downscaling Land Surface Temperature for the Antarctic Dry Valleys using Multi-Sensor Data and Machine Learning.” in Geophysical Research Abstracts