Daniela Vanella

Researcher of Agricultural hydraulics and watershed protection [AGR/08]
Office: Via S. Sofia, 100 - 1° piano, stanza I-3
Email: daniela.vanella@unict.it
Phone: +39 095 7147554
Web Site: www.di3a.unict.it


  1. Mary, B., Vanella, D., Consoli, S., Cassiani, G. (2019). Assessing the extent of citrus trees root apparatus under deficit irrigation via multi-method geo-electrical imaging. Scientific Reports 9:9913 doi.org/10.1038/s41598-019-46107-w;
  2. Vanella D., Ramírez-Cuesta J.M, Intrigliolo D. S., Consoli, S. (2019). Combining Electrical Resistivity Tomography and Satellite Images for Improving Evapotranspiration Estimates of Citrus Orchards. Remote sensing 11(4), 373 doi.org/10.3390/rs11040373;
  3. Ventura, D., Consoli, S., Barbagallo, S., Marzo, A., Vanella, D., Licciardello, F., Cirelli, G.L. (2019). How to Overcome Barriers for Wastewater Agricultural Reuse in Sicily (Italy)? Water, 11(2), 335 doi.org/10.3390/w11020335;
  4. Ramírez-Cuesta, J. M., Vanella, D., Consoli, S., Motisi, A., Minacapilli, M. (2018). A satellite stand-alone procedure for deriving net radiation by using SEVIRI and MODIS products. International Journal of Applied Earth Observation and Geoinformation, 73, 786-799 doi.org/10.1016/j.jag.2018.08.018;
  5. Vanella, D., Consoli, S., (2018). Eddy Covariance fluxes versus satellite-based modelisation in a deficit irrigated orchard. Italian Journal of Agrometeorology, 2 (2018): 41-52, ISSN: 2038-5625, http://dx.doi.org/10.19199/2018.2.2038-5625.041:
  6. D’Emilio, A., Aiello, R., Consoli, S., Vanella, D., & Iovino, M. (2018). Artificial Neural Networks for Predicting the Water Retention Curve of Sicilian Agricultural Soils. Water, 10(10), 1431 doi.org/10.3390/w10101431;
  7. Consoli, S., Milani, M., Cirelli, G., Barbagallo, S., Marzo, A., Vanella, D., & Toscano, A. (2018). Energy and water balance of a treatment wetland under mediterranean climatic conditions. Ecological Engineering, 116, 52-60 doi.org/10.1016/j.ecoleng.2018.02.029;
  8. Marzo, A., Ventura, D., Cirelli, G. L., Aiello, R., Vanella, D., Rapisarda, R., Barbagallo, S., Consoli, S. (2018). Hydraulic reliability of a horizontal wetland for wastewater treatment in Sicily. Science of the Total Environment636, 94-106 doi.org/10.1016/j.scitotenv.2018.04.228;
  9. Vanella, D., Cassiani, G., Busato, L., Boaga, J., Barbagallo S., Binley, A.M., Consoli, S., (2018). Use of small scale electrical resistivity tomography to identify soil-root interactions during deficit irrigation. Journal of Hydrology, 556: 310-324 https://doi.org/10.1016/j.jhydrol.2017.11.025;
  10. Consoli, S., Stagno, F., Vanella, D., Cassiani, G., Roccuzzo, G., (2017). The partial root-zone drying irrigation for orange orchards: effects on water use and crop production characteristics. European Journal of Agronomy, 82: 190-202 https://doi.org/10.1016/j.eja.2016.11.001;
  11. Consoli, S., Licciardello, F., Vanella, D., Pasotti, L., Villani, G., Tomei, F., (2016). Testing the hydrological water balance model criteria using TDR measurements, micrometeorological data and satellite-based information. Agricultural Water Management 170: 68-80 doi:10.1016/j.agwat.2015.11.003;
  12. Minacapilli, M., Consoli, S., Vanella, D., Ciraolo, G., Motisi, A., (2016). A time domain triangle method approach to estimate actual evapotranspiration: application in a Mediterranean region using MODIS and MSG-SEVIRI products. Remote Sensing of Environment 174, 10-26, doi:10.1016/j.rse.2015.12.018;
  13. Cassiani, G., Boaga, J., Vanella, D., Perri, M.T., Consoli, S., (2015). Monitoring and modelling of soil-plant root zone interaction: the joint use of ERT, sap flow and Eddy Covariance data to define the volume of an orange tree root zone. Hydrol. Earth Syst. Sci., 19, 2213-2225, doi:10.5194/hess-19-2213-2015;
  14. Consoli, S., Vanella, D. (2014 a). Comparisons of satellite-based models for estimating evapotranspiration fluxes. Journal of Hydrology 513, 475–489, http://dx.doi.org/10.1016/j.jhydrol.2014.03.071;
  15. Consoli S., Vanella D., (2014 b). Mapping crop evapotranspiration by integrating vegetation indices into a soil water balance model. Agricultural Water Management 143, 71–81, http://dx.doi.org/10.1016/j.agwat.2014.06.012.
ACADEMIC YEAR 2019/2020


ACADEMIC YEAR 2017/2018