Možnosti Google Earth Engine pro výuku zpracování družicových snímků

Abstract

The bachelor thesis is focused on the utilization of Google Earth Engine for teaching satellite image processing. The theoretical section describes the basics of digital image processing and introduces the Google Earth Engine platform, along with an overview of available study materials related to it. The practical part of the thesis involves the development of four study materials covering a range of topics from remote sensing. These materials contain sample scripts for the Earth Engine JavaScript API and work with data from Sentinel-2, Sentinel-5P and Landsat 9 satellites. The goal of these materials is to extend the software capabilities for teaching satellite image processing to geoinformatics students. Topics covered in the learning materials include spectral and focal image enhancement, classification, cloud masking, and creating web applications using JavaScript API. The created materials are available in PDF format on the website of the bachelor's thesis supervisor and are intended for teaching remote sensing at the Department of Geoinformatics of VSB – Technical University of Ostrava. The practical section also describes pilot projects that preceded the creation of the study materials. Finally, an evaluation of the suitability of the Google Earth Engine platform for teaching students is provided. Based on the obtained knowledge, the platform was found to be effective and suitable for teaching satellite image processing.