Corso di laurea magistrale

• Hydrology. A.A. 2019/20, INGEGNERIA CIVILE. Collaboratore del corso
• Hydrology. A.A. 2020/21, INGEGNERIA CIVILE. Collaboratore del corso

• Amirarsalan Shahmohammadi. Corso in Ingegneria Civile E Ambientale (ciclo 39, 2023-in corso)

• Rolle, Matteo; Tamea, Stefania; Claps, Pierluigi; Ayari, Emna; Baghdadi, Nicolas; Zribi, ... (2022)
  Analysis of Maize Sowing Periods and Cycle Phases Using Sentinel 1&2 Data Synergy. In: REMOTE SENSING, vol. 14, pp. 3712-3732. ISSN 2072-4292
  Contributo su Rivista
• Rolle, Matteo; Tamea, Stefania; Claps, Pierluigi (2022)
  Climate-driven trends in agricultural water requirement: an ERA5-based assessment at daily scale over 50 years. In: ENVIRONMENTAL RESEARCH LETTERS, vol. 17. ISSN 1748-9326
  Contributo su Rivista
• Rolle, Matteo (2022)
  Modelling of water balance and crop growth based on Earth Observation and re-analysis data. relatore: TAMEA, STEFANIA; CLAPS, Pierluigi; , 34. XXXIV Ciclo, P.: 137
  Doctoral Thesis
• Rolle, Matteo; Zribi, Mehrez; Tamea, Stefania; Claps, Pierluigi (2022)
  Estimation of maize sowing dates from Sentinel 1-2 data, over South Piedmont. In: EGU General Assembly 2022
  Contributo in Atti di Convegno (Proceeding)
• Tamea, Stefania; Rolle, Matteo; Claps, Pierluigi (2022)
  Trends of crop daily water requirements driven by 50-years global hydro-climatic data. In: EGU General Assembly 2022, Vienna, 23-27 May 2022
  Contributo in Atti di Convegno (Proceeding)
• Rolle, Matteo; Tamea, Stefania; Claps, Pierluigi (2021)
  ERA5-based global assessment of irrigation requirement and validation. In: PLOS ONE, vol. 16. ISSN 1932-6203
  Contributo su Rivista
• Rolle, Matteo; Tamea, Stefania; Claps, Pierluigi (2021)
  Spatio-temporal variability of global crop water requirement, during 1950-2020. In: EGU General Assembly 2021, Online, 19–30 April 2021, pp. 15698-15698
  Contributo in Atti di Convegno (Proceeding)
• Rolle, Matteo; Tamea, Stefania; Claps, Pierluigi (2020)
  Improved large-scale crop water requirement estimation through new high-resolution reanalysis dataset. In: EGU General Assembly 2020, 4–8 May 2020, pp. 19289-19289
  Contributo in Atti di Convegno (Proceeding)

• Algoritmo per analisi di rischio climatico descrittivo e previsionale in campo agricolo e dell'analisi dei danni alle colture indotti da eventi estremi. Software nazionale
  Inventori: Pierluigi Claps Matteo Rolle Stefania Tamea