Geophysics and Remote Sensing data processing for the study of metal-contaminated sites

Code: FIS15262O

1 ECTS

Duration: 1 weeks/26 hours

Scientific Area: Physics

Teaching languages: Portuguese

Languages of tutoring support: Portuguese

Sustainable Development Goals

Educação de qualidade - Assegurar a educação inclusiva, e equitativa e de qualidade, e promover oportunidades de aprendizagem ao longo da vida para todos.

Indústria, inovação e infraestruturas - Construir infraestrutura resiliente, promover a industrialização inclusiva e sustentável, e fomentar a inovação.

Cidades e comunidades sustentáveis - Tornar as cidades e os assentamentos humanos inclusivos, seguros, resilientes e sustentáveis.

Proteger a vida terrestre - Proteger, recuperar e promover o uso sustentável dos ecossistemas terrestres, gerir de forma sustentável as florestas, combater a desertificação, deter e reverter a degradação da Terra e deter a perda da biodiversidade.

Learning Goals

It is intended that students become familiar with the main methods of processing geophysical data and remote sensing, obtained in places contaminated by metals, namely in abandoned mines, to assess the environmental impact by determining contamination levels. At the end of the Curricular Unit, students must identify the main in situ geophysical and remote detection methods, suitable for the study of environmental contamination and know their theoretical foundations and the basis of their application, from the acquisition and processing of data and interpretation of results .

1. Processing of geophysical and remote sensing data.
2. Visualization and interpretation of geophysical and remote sensing data.

Teaching Methods

Practical classes on geophysical data processing and remote sensing methods, and ways of interpreting results. The syllabus will be taught using the application, in the classroom, of data processing techniques, and visualization and interpretation of results. Protocols for carrying out the various tasks will be made available in the course Moodle, as well as content complementary to the study, such as scientific articles with applications of the methods taught.