（中文）智慧地球

Teacher

You Li, Mi Wang, Haigang Sui, ZhenDong, Yuan Zhuang, Timo Balz, Wei He,Xinlian Liang

First day of classes

13^th, July

Last day of classes

16^th, July

Course Credit

1

Course Description

Course Introduction

What is a Smart Earth?Different eras provide different answers. As early as 2008, IBM introduced the concept of a Smart Earth, breaking it down into three key elements: the Internet of Things (IoT), interconnectivity, and intelligence, stating, “Internet + IoT = Smart Earth.” With the advancement of science and technology, much of that initial vision has been realized. Today, "Smart Earth" is not just a concept; it is a journey of exploration for humanity, one that has never ceased since the dawn of our existence. The Sky Eye explores the atmosphere, while the Jiaolong submersible explores the oceans, expanding the boundaries of our exploration. The Eastern Eye and the Open Earth Engine offer us a deeper understanding of our planet. The Beidou positioning system and low-earth orbit communication tighten our connections. Spatial computing and digital twins enhance our grasp of space.

Wuhan University, one of the most beautiful universities in China, has long been at the international forefront of Earth spatial information science. It supports humanity's exploration of the Smart Earth through intelligent remote sensing, positioning and navigation, and spatiotemporal intelligent applications. Among these, spaceborne and airborne remote sensing systems serve as the foundation for acquiring broad temporal and spatial information, allowing our exploration to be more extensive. Moreover, comprehensive perception and autonomous navigation are core technologies for deeply acquiring spatiotemporal information, enabling our exploration to go deeper. Finally, Digital Earth and spatiotemporal intelligence are crucial foundations for empowering global digital development, ensuring that the Smart Earth can better serve our lives.

Let us step into the Smart Earth course, where we will explore cutting-edge technologies in remote sensing, positioning, and spatial intelligence, as well as their applications in smart cities, disaster prevention and reduction, healthcare, and more.

Objective

The aim of smart Earth is to make the world more intelligent, and increase interactions among individuals, enterprises, organizations, governments, and nature. Any interaction between them are opportunities to improve performance, efficiency, and productivity. The development of intelligent systems for smart Earth provides a more meaningful, and brand-new opportunity for us. Besides national defense and national security, smart Earth will have a wide range of applications in all kinds of work.

This course focuses on the development and use of state-of-the-art emerging technology, and the applications and services of smart Earth. This course covers basicsmart Earth knowledge and current directions of research in Smart Earth.

This course presents the advances in smart Earth applications, which include

lSmart city;

lThe birth of Qimingxing and Luojia-3 satellites;

lRemote sensing natural disaster monitoring and rapid response;

lIntelligent remote sensing;

lInternational cooperation in remote sensing;

lMotion sensing in daily life;

lIntelligent localization and perception for future development;

lSmart perception in forest environment.

Assignments (essay or other forms)

A term reportrelated to smart Earth (e.g., remote sensing, geoinformatics, smart city, smart transportation, intelligent motion tracking, or other topics based on the student’s interest of research),with around 800 words.

Text Books and Reading Materials

lCampbell, J., Wynne, R., Thomas, V., Introduction to Remote Sensing (6th Edition), Guilford Press, 2022.

lLi, S., Dragicevic, S., Croitoru, A. (Eds.), Geospatial Artificial Intelligence: Theory and Applications, Springer, 2020.

lZhao, R., Grejner-Brzezinska, D. A., GNSS and Positioning Technology: Future Trends and New Applications, Elsevier, 2021.

lBatty, M., Smart Cities and Real-Time Urban Analytics, MIT Press, 2022.

lGoodfellow, I., Bengio, Y., Courville, A., Deep Learning, MIT Press, 2016.

lZhou, Z., Liu, L., Zhang, J., Luo, Y.,“Recent Advances in Intelligent Remote Sensing: A Survey”, ISPRS Journal of Photogrammetry and Remote Sensing, 199, 25–47, 2023.