Miguel Orti

Phone: +264 16 207 2312
Fax: +264 16 207 9312
E-Mail: morti@nust.na


Miguel Orti

Research Interests
  • Spatial Statistics
  • Multispectral and RADAR Remote sensing
  • Volunteered Geographic Information (VGI)
  • Digital Elevation Models and 3D surface analysis
  • Soil erosion and land degradation
Curriculum Vitae
  • 2019-2023: Doctoral candidate in the Research Group of Prof Bernhard Höfle at Heidelberg University
  • since 06/2016: GIT Lecturer at Namibia University of Science and Technology
  • 10/2013 – 03/2015: Master in Photogrammetry and Geoinformatics at the Stuttgart University of Applied Sciences.
  • 09/2006 – 07/2010: Bachelor study in Forest Engineering at the University of Huelva (Spain).
  • Castillo, C., Pérez, R. & Vallejo Orti, M. (2021): The impact of recent gully filling practices on wheat yield at the Campiña landscape in Southern Spain. Soil and Tillage Research, 221, pp. 1-13. https://doi.org/10.1109/JSTARS.2020.3040284.
  • Vallejo Orti, M., Castillo, C., Bubenzer, O. & Höfle, B. (2021): Identifying and describing the impact of gully erosion in the livelihoods and properties of traditional Himba communities in Kaokoland (Namibia) as a driver of regional migration. In: AGU Fall Meeting 2021. Vol. AGU21, (NH22A-04) pp. 1-1. https://dx.doi.org/10.1002/essoar.10509589.1
  • Vallejo Orti, M., Winiwarter, L., Corral-Pazos-de-Provens, E., Williams, J. G., Bubenzer, O. & Höfle, B. (2021): Use of TanDEM-X and Sentinel products to derive gully activity maps in Kunene Region (Namibia) based on automatic iterative Random Forest approach. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, pp. 607-623. https://doi.org/10.1109/JSTARS.2020.3040284.
  • Vallejo Orti, M., Negussie, K., Corral-Pazos-de-Provens, E., Höfle, B. & Bubenzer, O. (2019): Comparison of Three Algorithms for the Evaluation of TanDEM-X Data for Gully Detection in Krumhuk Farm (Namibia). Remote Sensing, 11 (11), pp. 1-22. https://doi.org/10.3390/rs11111327.
  • Vallejo Orti, M., Negussie, K. G. (2019): Temporal statistical analysis and predictive modelling of drought and flood in Rundu–Namibia. Climate Dynamics, pp. 1247-1260. https://doi.org/10.1007/s00382-019-04808-y.
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Letzte Änderung: 28.09.2023
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