Home|QGIS Software Workshop Using the SRTM NASA Model
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Limited Seats Available!

Register by Monday 27 June, 2022

The Environmental Health Research Centre, together with the Department of Engineering and the Erasmus Office at the University of Nicosia, is offering a two-day workshop titled “Introduction to QGIS software and watershed delineation using the digital elevation model from SRTM/NASA”.

The workshop will be delivered by Dr David de Andrade Costa (Instituto Federal Fluminense – IFF, Rio de Janeiro, Brazil) and Prof Antonio J. Silva Neto (Department of Mechanical Engineering, Polytechnic Institute, Rio de Janeiro State University, Rio de Janeiro, Brazil).

The use of hydrological modelling in environmental applications requires the choice of the study area, usually a river basin. A watershed is recognized as the best place for planning and management of waters, and it is usually a land area that channels rainfall and snowmelt to creeks, streams, and rivers, and eventually to outflow points such as reservoirs, bays, and the ocean. Its delineation can be performed using a digital elevation model and geoprocessing techniques. This workshop will address the concepts that are required for watershed delineation. A practical activity will be held in the QGIS software (www.qgis.org/) by using the digital elevation model from the Shuttle Radar Topography Mission (SRTM)/NASA.


  • Registration for the workshop;
  • The workshop is intended for undergraduate and postgraduate students in the areas of Science and Engineering;
  • Basic computer knowledge.

Language of the workshop

27 June 2022, 14:00-18:00 – Presentation, supervised practical activity
28 June 2022, 14:00-18:00 – Individual practical activity (each participant can define their own study region)

Certificate of Attendance
All participants will receive a certificate of attendance.

In case you can no longer attend the workshop in person, please email us at [email protected]


Dr David de Andrade Costa
Instituto Federal Fluminense (IFF)

David de Andrade Costa is an Environmental Engineer (Universidade Federal Fluminense – UFF), MSc in Remote Sensing (Instituto Nacional de Pesquisas Espaciais – INPE) and PhD in Environmental Planning (Universidade Federal do Rio de Janeiro – COPPE/UFRJ). He has experience in the studies of rivers, lakes and tropical reservoirs using computational models, remote sensing and limnological/weather data. Currently, he is an Assistant Professor at the Instituto Federal Fluminense (IFF), where he also holds the position of Academic Director at São João da Barra Advanced Campus. He teaches the discipline “Mathematical Modeling in Environment and Water Resources” for the Doctoral Program in Modeling and Technology for Environment applied in Water Resources (Ambhidro/IFF). Previously, he held the technical position of Water Resources Specialist (2016 to 2018) in a Water Resource Agency. He also has professional experience in the pharmacochemical industry as an Environmental Analyst (2010 to 2014).

Prof. Antônio J. Silva Neto
Department of Mechanical Engineering and Energy,
Polytechnic Institute
Rio de Janeiro State University

Prof. Silva Neto has a diverse international education background in mechanical/nuclear engineering and applied mathematics: PhD in Mechanical Engineering (North Carolina State University – NCSU, USA, 1993), with a minor in Computational Mathematics; MSc in Nuclear Engineering (Federal University of Rio de Janeiro – UFRJ, Brazil, 1989); and Mechanical/Nuclear Engineer (UFRJ, Brazil, 1983). He worked for the Brazilian National Commission on Nuclear Energy, CNEN (1984-1986), Promon Engineering, the largest Brazilian private company in Consulting Engineering (1986-1997), and since 1997 works for UERJ, being a Full Professor since 2013. In 2021, he started a formal institutional cooperation with research groups of SENAI CIMATEC in Brazil. His multi/interdisciplinary research activities resulted in the publication of 15 books, 62 book chapters, and 173 refereed journal papers. He has also supervised 20 visiting and postdoctoral fellows, 30 DSc and 51 MSc students.
Prof. Neto’s main current research areas are Inverse Problems; Heat and Mass Transfer; Radiative Transfer; Computational Intelligence; and Environmental Modelling.
Acknowledgements: UNIC/Cyprus, Erasmus +, and Brazilian agencies FAPERJ, CNPq and CAPES.

Registration is now closed.

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