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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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摘要

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Schulen中的Fernerkundung（学校中的遥感），旨在将“卫星遥感”这一主题更好地整合到学校课程中。据此，总体目标是向学生传授遥感的基本知识和应用领域。尽管数字地理媒体的重要性日益提高，但学校并未广泛支持“遥感”主题。通常，将主题简化为对卫星图像的简短反思，仅用于与课程相关的问题的其他说明。如果不解决图像数据的问题，这几乎不会有助于提高学生的方法能力。由于遥感不仅仅包括对卫星图像的直观解释，因此有必要集成遥感方法，例如预处理，分类和变化检测。由于混乱的背景信息和缺乏易于使用的软件，处理这些主题通常会失败。基于这些见识，FIS项目为学校课程中的遥感创建了各种简单的分析工具，使教师和学生能够以结构化的方式介绍该主题。借助于三种不同的卫星图像分类工具，将详细介绍此功能以及这些分析工具的应用领域。

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