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EXPERIENCE OF PROJECT-BASED EDUCATION IN CARTOGRAPHY DOMAIN
Abstract
Modern education of students in the domain of the Earth Sciences has changed for recent years. Working with coordinate space is the basis for teaching students in the cartography domain. But modern work with space is the technology of working with remote sensing data, and the natural sciences, and the methods of classical cartography, and the modern design techniques. Compilation the maps of nature - this is a complex process that covers different areas of knowledge and skills. Compilation of nature maps, in particular vegetation maps, often contains problems in choosing the most optimal algorithm for obtaining results. One of the main fundamental problems is the choice of software. The second and most difficult is the classification of vegetation. There are three basic vegetation classification algorithms processing in ENVI (Environment for Visualizing Images) remote sensing data software: "unsupervised classification", "supervised classification" and Normalized Difference Vegetation Index (NDVI) based. We offered to students to choose any of the algorithms to compile vegetation maps for one of the administrative regions of the Russian Federation. As a result, the most of students decided to use a non-standard algorithm. We called this algorithm "multi-level supervised classification". Basing on our experience we may conclude that free choice strategy of project-based education is effective way to study students to select optimal way of work.
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References11
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