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Methods and potentials for using satellite image classification in school lessons

机译：在学校课程中使用卫星图像分类的方法和潜力

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The FIS project - FIS stands for Fernerkundung in Schulen (Remote Sensing in Schools) - aims at a better integration of the topic "satellite remote sensing" in school lessons. According to this, the overarching objective is to teach pupils basic knowledge and fields of application of remote sensing. Despite the growing significance of digital geomedia, the topic "remote sensing" is not broadly supported in schools. Often, the topic is reduced to a short reflection on satellite images and used only for additional illustration of issues relevant for the curriculum. Without addressing the issue of image data, this can hardly contribute to the improvement of the pupils' methodical competences. Because remote sensing covers more than simple, visual interpretation of satellite images, it is necessary to integrate remote sensing methods like preprocessing, classification and change detection. Dealing with these topics often fails because of confusing background information and the lack of easy-to-use software. Based on these insights, the FIS project created different simple analysis tools for remote sensing in school lessons, which enable teachers as well as pupils to be introduced to the topic in a structured way. This functionality as well as the fields of application of these analysis tools will be presented in detail with the help of three different classification tools for satellite image classification.
机译：FIS项目 - FIS代表舒伦的Fernerkundung（学校遥感） - 旨在更好地整合学校课程中的“卫星遥感”主题。据此，总体目标是教导学生的基本知识和遥感应用领域。尽管数码岩密地区的重要性越来越重要，但“遥感”主题不受学校广泛支持。通常，该主题减少到卫星图像的短反射，仅用于额外的例证对课程相关的问题。如果没有解决图像数据的问题，这几乎不会有助于改善学生的方法能力。由于遥感覆盖覆盖卫星图像的简单，视觉解释，因此必须集成遥感方法，如预处理，分类和变化检测。处理这些主题通常由于令人困惑的背景信息和缺乏使用软件而失败。基于这些见解，FIS项目为学校课程中的遥感创造了不同的简单分析工具，使教师和学生能够以结构化的方式引入主题。这些功能以及这些分析工具的应用领域将在三种不同的卫星图像分类的不同分类工具的帮助下详细介绍。

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