Environmental Monitoring and Big Data
Objectives
- Understand, within the environmental engineering area, the appropriate temporal and spatial scales to provide solutions to problems in domains such as air,, soil use, and cities, enabling the design of strategies for their monitoring, from data acquisition, data service access, data processing and interpretation of big data.
- Evaluate different monitoring means to be used under a particular problem solving objective, from standard monitoring equipment and stations to sensors, drones and Earth observation satellites.
- Access environmental global data services and develop skills to get to use them.
- Handling and processing of environmental big data through public and/or tailor-made tools.
- Introduction to scientific visualization techniques, including for large amount of data.
- Understand the importance of data in environmental engineering as a fundamental support for informed decisions with add-value recognized by the labour market.
General characterization
Code
12676
Credits
6.0
Responsible teacher
Francisco Manuel Freire Cardoso Ferreira
Hours
Weekly - 4
Total - 56
Teaching language
Português
Prerequisites
No pre-requisits.
Bibliography
|
- Berthouex, P. M. and L.C. Brown, 1994. Statistics for Environmental Engineers, Lewis Publishers, Boca Raton, 335 pp. - Gilbert, R.O., 1994. Statistical Methods for Environmental Pollution Monitoring, Van Nostrand Reinhold, New York. - Hereden, R.A., 1998. Ecological Numeracy: Quantitative Analysis of Environmental Issues, John Wiley & Sons Inc., New York, 331 pp. - Kumar, L. & Mutanga, O. (Eds) 2019. Google Earth Engine Applications, MDPI DOI 10.3390/books978-3-03897-885-5. - Lillesand T.M., Kiefer R.W., J. Chipman (2015) Remote Sensing and Image Interpretation 7th Edition, John Wiley & Sons, ISBN: 978-1-118-34328-9. 736 Pages. - Moreira, J., Carvalho, A. and Horvath, T., 2018. A General Introduction to Data Analytics. John Wiley & Sons. |
Teaching method
The teaching methods are predominantly practical, by works/projects under team project. The exposition of material occurs only insofar as it is necessary to guide students in the development of the work they have to develop and in the search for information in bibliographic databases.
Evaluation method
Two group works will be carried out in groups of two or three students. All works will have the same weighting (each one weights 30% of the final grade). The average of the works must be equal to or greater than 9.5 values and represents 60% of the final grade. There will be two tests (conducted in continuous assessment) or a resource exam. Each test will have a weight of 20% in the final grade. The average of the two tests or the appeal exam grade must be equal to or greater than 9.5.
Subject matter
- Environmental system analysis integrated approach.
- Identification of the characteristics and key variables associated to environmental systems, such as in air, soil use, cities, and ecosystems.
- Definition of monitoring strategies and sampling procedures of environmental systems and the respective quality assurance / quality control procedures.
- Data acquisition techniques by monitoring equipment, sensors, drones, and Earth observation satellites.
- Knowledge of data services and their access and gathering procedures.
- Selected statistics for data analysis (review and application of methods associated with both univariate and multivariate analysis).
- Automatic learning tools.
- Data visualization fundamentals and examples, with practical hands-on approach using state of the art visualization tools.
- Development of monitoring plans, supported with case studies examples.