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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/space
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课程名称：航天研究中的数字化 课程概述：该课程全面介绍航天研究领域最重要的数字应用，讨论数字化如何影响和改变基于卫星和载人航天研究。课程中有一个单元特别探讨人工智能在卫星数据评估中的应用。 课程大纲： 1. **航天工业中的数字化转型** - 讲师：彼得·韦克塞尔博士 - 描述：从制造视角提供数字化流程的见解，讨论新的数字工作流程所采用的策略。 2. **航天与数字化 - 转变的范式与挑战** - 讲师：罗杰·福斯特纳教授（慕尼黑联邦国防军大学） - 描述：数字革命对航天业务和技术的多层次影响。“新航天”的出现与数字化密切相关，挑战着航天器任务和系统设计等长期存在的范式。本模块阐述数字化在地球观测、下游服务及任务与系统设计等多个领域的创新影响，并探讨航天行业面临的数字化挑战，包括网络威胁和行业日益增长的战略与商业价值。 3. **全球导航卫星系统（GNSS）用于高效灵活的空中导航** - 讲师：托马斯·潘教授（慕尼黑联邦国防军大学） - 描述：民用航空是一个预计将持续增长直到2040年的多万亿市场。航班的导航和引导对飞行成本至关重要。因此，新数字技术的引入所带来的任何节省都将因规模经济而获得极高的投资回报。本课程概述了特定的导航背景，并指出传统导航手段（如航线）在提升容量、灵活性和表现方面的不充分性。阐述基于性能的导航（PBN）概念，以及全球定位系统GNSS的基本定位原理，探讨了相对频繁的卫星故障和异常，这些问题使得独立GNSS无法直接用于安全关键应用。 4. **地球观测中的数字化** - 讲师：夏晓翔教授（德国航天中心DLR & 慕尼黑工业大学）和沃尔克·利比希教授（空客DS & 斯图加特大学） - 描述：本在线课程探讨了近年来地球观测（EO）领域取得的进展，是最近几十年航天应用中取得最大成就的领域之一。课程的目标是探讨在遥感数据的收集、存储、分发和分析中的主要趋势。介绍的互补数据来源包括卫星、高空平台（HAPS）、飞机和无人驾驶飞行器（UAV）。欧洲哥白尼系统是全球最大的免费开源环境和安全监测系统，课程中将其作为技术前沿的示例，并通过商业案例研究进行展示。讨论云端访问、归档和处理技术，并在EO的具体语境中解释DaaS、SaaS和PaaS等基本术语。人工智能的出现标志着数据分析的新时代。AI4EO提供超出物理算法的附加分析工具，使得能够处理极大数据量并结合图像和社交媒体数据等不同类型的数据。
Name:Digital Transformation in the Space Industry
Description:Dr. Peter Weckesser provides insights into digitalisation processes from the manufacturing perspective, discussing approaches taken with the new digital workflows.
Name:Space and Digitisation - Changing Paradigms and Challenges
Description:The digital revolution has an impact on many levels of space business and space technology. The advent of “New Space” is strongly connected to digitalisation, a game changer challenging long-standing paradigms such as in spacecraft mission and system design. This module illustrates the innovative effects of digitalisation in various areas such as earth observation, downstream services and mission and system design. The module also examines digitalisation challenges in the space sector including cyber threats and the sector’s increasing strategic and commercial value. - Lecturer: Professor Roger Förstner (Universität der Bundeswehr München).
Name:Global Navigation Satellite Systems (GNSS) for efficient and flexible air navigation
Description:Civil aviation is a multi-trillion-dollar market projected to grow continuously until at least 2040. Aircraft navigation and guidance from terminal to terminal is the determining cost factor for individual flights. Thus any savings resulting from the introduction of new digital technology will yield an extremely high return on investment due to economies of scale. This course outlines the specific navigation context before identifying where conventional navigation means (flight routes) are insufficient for achieving further increases in capacity, flexibility and performance. The concept of performance-based navigation (PBN) is outlined and why positioning needs to be available everywhere (area navigation - RNAV). The GNSS basic positioning principle is described and the relatively frequent satellite failures and anomalies are explored which are the reason why stand-alone GNSS cannot be used directly for a safety-critical application. The concept of solution separation statistics combined with the use of multiple GNSS constellations is introduced (Advanced Receiver Autonomous Integrity Monitoring – ARAIM) which in the long term may replace conventional navigation technology. The lecture concludes with a look at limiting factors, the current planning of civil aviation authorities and the European GNSS Galileo project. - Lecturer: Professor Thomas Pany (Universität der Bundeswehr München).
Name:Digitisation in Earth Observation
Description:This online course is about the advances made in Earth Observation (EO) over the last few years. No other area of space applications has seen so much advancement in recent decades.The objective of this course is to explore the major trends in the collection, storage, distribution and analysis of remote sensing data. The complementary data sources introduced in the course include satellites, high-altitude platforms (HAPSs), planes and unmanned aerial vehicles (UAVs).The European Copernicus System is the world’s largest free and open monitoring system for environmental and security purposes. It is cited throughout the course as an example of the technological cutting edge, presented together with a commercial case study. Cloud-based access, archiving and processing technologies are introduced and discussed and basic terminology like DaaS, SaaS and PaaS is explained in the specific context of EO.The advent of Artificial Intelligence represents the dawn of a new era in data analysis. AI4EO provides additional analysis tools beyond physical algorithms. AI makes it possible to work on extremely big data volumes and combine very different data types such as images and social media data. - Lecturers: Professor Xiaoxiang Zhu (DLR German Aerospace Center & Technical University Munich) & Professor Volker Liebig (Airbus DS & University of Stuttgart).
This course provides an overview of the most important digital applications in the field of aerospace research. The course instructors discuss how digitalisation is impacting and changing both satellite-based and manned spaceflight research. One unit is specifically devoted to exploring the use of artificial intelligence in the evaluation of satellite data.
