The use of multi-geospatial analysis platforms as an alternative approach for the teaching-learning process in remote sensing

Abstract

The use of learning methodologies based on Digital Information and Communication Technologies started to integrate the teaching systems in the last two decades, proving to be a powerful tool in the teaching and learning process in several areas of knowledge, including the teaching of remote sensing from basic education to graduate school. In this sense, this article aimed to present the didactic experience developed within the discipline “Interpretation of Orbital Images”, of the lato sensu postgraduate course in Geoprocessing at the Federal Institute of Rondônia. We adopted a theory-and-practice approach associated with the use of different technologies for geospatial analysis, with emphasis on the potential of programming languages as a didactic pedagogical resource. The discipline was planned from the intercalation between theory and practice. The applied practical activities focused on the collection of satellite data, understanding of metadata, multispectral transformations, bands composition, and creation of spectral indices from 3 approaches: LandViewer and QGIS (traditional method); Google Earth Engine (JavaScript language) and Google COLAB (Python language). In the end, a semi-structured questionnaire was applied to assess the effectiveness of the learning process from the student's point of view. It was possible to see that despite the students' difficulty and inexperience with programming languages, they were enthusiastic about dealing with these new tools, which could help in the development of skills that are so desired by the job market today.