（中 文）智慧地球

Teacher

You Li, Mi Wang, Haigang Sui, Zhen Dong, Yuan   Zhuang,

Timo Balz, Wei He, Xinlian Liang

First day of classes

1^st, July

Last day of classes

10^th , July

Course   Credit

1

Course Description

Course Introduction

Smart Earth supports   participation and communication between humans as well as human-machine and machine–machine interactions to provide IoT oriented intelligent services.

This course focuses on the development and use of   state-of-the-art emerging technologies,

and the applications and services of smart   Earth. This   course covers basic smart Earth 

 knowledge and current directions of research in smart Earth.

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

l Smart city;

l The birth of Qimingxing   and Luojia-3 satellites;

l Remote sensing natural disaster   monitoring and rapid response;

l Intelligent remote sensing;

l International cooperation   in remote sensing;

l Motion sensing in daily life;

l Intelligent localization   and perception for future development;

l Smart perception in forest   environment.

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 basic smart Earth knowledge and current directions  of research in Smart Earth.

Assignments (essay or other forms)

A term report related 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

l 《Introduction to remote sensing (6^th Edition)》, J. Campbell, R. Wynne, V. Thomas, Guilford Press, 2022.

l 《Principles of geographical information systems (3^rd Edition)》, P. Burrough, R. McDonnell, and   C. Lloyd, Oxford University Press, 2015.

l 《Principles of GNSS, inertial, and multisensor   integrated navigation systems (2^nd Edition)》, P. Groves, Artech House, 2013.

l Smart and digital city: A systematic literature review, A Cocchia, Springer, 2014.

l 《Deep Learning》, I. Goodfellow, Y.   Bengio, A. Courville, MIT Press, 2016.