Abstract
Education, together with science and technology, is the main driver of the progress and transformations of a country. The use of new technologies of learning can be applied to the classroom. Computer learning supports meaningful and long-term learning. Therefore, in the era of digital society and environmental issues, a relevant role is provided by open source software and free data that promote universality of knowledge. Earth observation (EO) data and remote sensing technologies are increasingly used to address the sustainable development goals. An important step for a full exploitation of this technology is to guarantee open software supporting a more universal use. The development of image processing plugins, which are able to be incorporated in Geographical Information System (GIS) software, is one of the strategies used on that front. The necessity of an intuitive and simple application, which allows the students to learn remote sensing, leads us to develop a GIS open source tool, which is integrated in an open source GIS software (QGIS), in order to automatically process and classify remote sensing images from a set of satellite input data. The application was tested in Vila Nova de Gaia municipality (Porto, Portugal) and Aveiro district (Portugal) considering Landsat 8 Operational Land Imager (OLI) data.
Highlights
Inclusive and equitable quality education, and lifelong learning opportunities for citizens are major sustainable development goals to face planetary changes [1]
The application was tested in Vila Nova de Gaia municipality (Porto, Portugal) and Aveiro district (Portugal) considering Landsat 8 Operational Land Imager (OLI) data
The main objective of this work was to contribute to the use of Earth Observation (EO) data in Geographical Information System (GIS) environment in university teaching courses by creating the PI2GIS, including a new set of image processing operations
Summary
Inclusive and equitable quality education, and lifelong learning opportunities for citizens are major sustainable development goals to face planetary changes [1]. Together with science and technology, is the main driver of progress and transformations of a country [2]. The use of new technologies of learning can be applied to the classroom. This type of interaction increases the motivation in the classrooms [3]. In the era of digital society and environmental issues, a relevant role is provided by open source software and free data that promote universality of knowledge [4]. In this context, Earth Observation (EO) data, remote sensing and Geographical
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