Dr.-Ing. Leonardo Francisco Arias Rodriguez

Foto von Leonardo Francisco Arias Rodriguez

Technische Universität München

Lehrstuhl für Hydrologie und Flussgebietsmanagement (Prof. Disse)


Arcisstr. 21
80333 München


Lehrstuhl für Hydrologie und Flussgebietsmanagement (Prof. Disse)

Augustenstr. 44_46(2903)/II
80333 München


Beruflicher Werdegang

  • Seit 2019 | Wissenschaftlicher Assistent am Lehrstuhl für Hydrologie und Flussgebietsmanagement, TU Munich Project: "Water Quality of Inland Waters by Remote Sensing and Machine Learning Approaches"
  • 2014 | Lehrassistent an der Abteilung für Sanitär- und Umwelttechnik, Nationale Autonome Universität von Mexiko, UNAM | Fach: Water Supply Network Design
  • 2013 – 2014 | Umweltingenieurwesen Beratung und Lehrer bei Proyecto Tierra S.C., Mexiko-Stadt
  • 2011 – 2013 | Bauingenieur bei der Stadtverwaltung Jesús María, Aguascalientes
  • 2010 | Bauingenieur bei SIDOC S.A. de C.V.


Journal Papers

  • Arias-Rodriguez, L.F.; Tüzün, U.F.; Duan, Z.; Huang, J.; Tuo, Y.; Disse, M. (2023) Global Water Quality of Inland Waters with Harmonized Landsat-8 and Sentinel-2 Using Cloud-Computed Machine Learning. Remote Sens. 15, 1390. https://doi.org/10.3390/rs15051390 
  • Adla, S., Bruckmaier, F., Arias-Rodriguez, L.F., Tripathi, S., Disse, M., and Pande, S., (2022), Impact of calibrating a low-cost capacitance-based soil moisture sensor on FAO AquaCrop model performance, (Under review)
  • Tran YB, Arias-Rodriguez LF and Huang J (2022) Predicting high-frequency nutrient dynamics in the Danube River with surrogate models using sensors and Random Forest. Front. Water 4:894548. https://doi.org/10.3389/frwa.2022.894548
  • Hoyek, A.; Arias-Rodriguez, L.F.; Perosa, F. (2022) Holistic Approach for Estimating Water Quality Ecosystem Services of Danube Floodplains: Field Measures, Remote Sensing, and Machine Learning. Hydrobiology1, 211-231. https://doi.org/10.3390/hydrobiology1020016
  • F. Hofmeister, L.F. Arias-Rodriguez, V. Premier, C. Marin, C. Notarnicola, M. Disse, G. Chiogna,  (2022), Intercomparison of Sentinel-2 and modelled snow cover maps in a high-elevation Alpine catchment, Journal of Hydrology X, doi: https://doi.org/10.1016/j.hydroa.2022.100123
  • Arias-Rodriguez, L.F.; Duan, Z.; Díaz-Torres, J.d.J.; Basilio Hazas, M.; Huang, J.; Kumar, B.U.; Tuo, Y.; Disse, M. (2021) Integration of Remote Sensing and Mexican Water Quality Monitoring System Using an Extreme Learning Machine. Sensors21, 4118. https://doi.org/10.3390/s21124118
  • Perosa, F.; Gelhaus, M.; Zwirglmaier, V.; Arias-Rodriguez, L.F.; Zingraff-Hamed, A.; Cyffka, B.; Disse, M. (2021) Integrated Valuation of Nature-Based Solutions Using TESSA: Three Floodplain Restoration Studies in the Danube Catchment. Sustainability13, 1482. https://doi.org/10.3390/su13031482
  • Arias-Rodriguez, L.F.; Duan, Z.; Sepúlveda, R.; Martinez-Martinez, S.I.; Disse, M. (2020) Monitoring Water Quality of Valle de Bravo Reservoir, Mexico, Using Entire Lifespan of MERIS Data and Machine Learning Approaches. Remote Sens.12, 1586. https://doi.org/10.3390/rs12101586

Conference Papers

  • Adla, S., Bruckmaier, F., Arias-Rodriguez, L. F., Tripathi, S., Disse, M., and Pande, S.: Analysing the impact of calibrating a low-cost soil moisture sensor on FAO Aquacrop model performance., EGU General Assembly (2022), Vienna, Austria, 23-27 May 2022, EGU22-11810, https://doi.org/10.5194/egusphere-egu22-11810 
  • Huang, J., Tran, B. Y., and Arias-Rodriguez, L. F.: Predicting high-frequency nutrient dynamics in the Danube River from surrogates with sensors and machine-learning, EGU General Assembly 2022, Vienna, Austria, 23-27 May (2022), EGU22-12914, https://doi.org/10.5194/egusphere-egu22-12914 
  • Hofmeister, F., Arias-Rodriguez, L. F., Borga, M., Premier, V., Marin, C., Notarnicola, C., ... & Chiogna, G. (2021). Generation of a high-resolution snow cover dataset from Sentinel-2 images for snow model calibration (No. EGU21-16016). Copernicus Meetings.
  • Perosa, F., Gelhaus, M., Zwirglmaier, V., Arias-Rodriguez, L. F., Zingraff-Hamed, A., Cyffka, B., & Disse, M. (2021). Examples of Floodplain Restoration Evaluation Studies in the Danube River Basin. In EGU General Assembly Conference Abstracts (pp. EGU21-7039).
  • LF Arias-Rodriguez, Z Duan, R Sepulveda, SI Martinez-Martinez, M Disse (2019) Evaluation of satellite-based estimation of water quality parameters in Reservoir Valle de Bravo in Mexico. EGU General Assembly Conference Abstracts, 6219.

Eingeladene Vorträge

  • Arias-Rodriguez, L. F. December 2021. Integration of Water Quality Monitoring Systems and Remote Sensing Data. Chair of Hydrology and River Basin Management, Technical University of Munich (Germany).
  • Arias-Rodriguez, L. F. October 2018. Generation of Water Quality Algorithms using Remote Sensing and Field Data. Center of Design and Construction Sciences, Autonomous University of Aguascalientes (Mexico).