PhD summer school Remote Sensing applications for Water Accounting
Water accounting is a fundamental basis to understand water availability and demands and the related benefits and efficiencies are related to water uses. While the fundamental data needed for establishing water accounts is often missing, Remote Sensing can contribute to fill the data gaps. With this course PhD students and staff at ITT will become familiar with the application of Remote Sensing to derive information on precipitation, evapotranspiration and land cover - three essential information elements for water accounts. Dr. Raul Vicens from Universidade Federal Fluminense de Brasil will introduce the basic techinques of Remote Sensing using the software SPRING and introduce to derive land cover information from products such as Landsat. Dr. Mauricio Zambrano-Bigiarini from Universidad de la Frontera, Chile, will focus on the use of the R software to derive Precipitation estimates from products such as TRMM. Finally Dr Islam Sabry from the National Water Research Center, Egypt will introduce the use of satellite based estimates for evapotranspiration data.
My Caption
I am an Associate Professor in the Department of Civil Engineering at the University of La Frontera. I hold a PhD in Environmental Engineering from the University of Trento (Italy) and completed postdoctoral training at the European Commission’s Joint Research Centre. I have more than 20 years of experience in water resources research and have previously served as an Associate Researcher at the Center for Climate and Resilience Research (CR)2 and as a member of the Earth Sciences Assessment Group of the Chilean National Research and Development Agency (ANID).
My research lies at the interface of hydrology, data science, and environmental sciences, with a particular focus on the use of gridded datasets and open-source tools to investigate droughts, extreme events, and water-related impacts of global change.
I work across spatial and temporal scales to improve the understanding of catchment-scale hydrological processes and to translate this knowledge into operational modelling, forecasting, and early-warning systems that support robust environmental decision-making.
Please reach out to collaborate 😃