Processing Image to Geographical Information Systems (PI2GIS)--A Learning Tool for QGIS

Autor/inn/en	Correia, Rui; Duarte, Lia; Teodoro, Ana Cláudia; Monteiro, António
Titel	Processing Image to Geographical Information Systems (PI2GIS)--A Learning Tool for QGIS
Quelle	In: Education Sciences, 8 (2018), Artikel 83 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Correia, Rui) ORCID (Duarte, Lia) ORCID (Teodoro, Ana Cláudia) ORCID (Monteiro, António)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2227-7102
Schlagwörter	Educational Technology; Technology Uses in Education; Geographic Information Systems; Computer Software; Satellites (Aerospace); Foreign Countries; Higher Education; Portugal + Suchen Sie Ihr Suchwort? Unterrichtsmedien; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Satellit; Ausland; Hochschulbildung; Hochschulsystem; Hochschulwesen
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. (As Provided).
Anmerkungen	MDPI AG. Klybeckstrasse 64, 4057 Basel, Switzerland. Tel: e-mail: indexing@mdpi.com; Web site: http://www.mdpi.com
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01