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The Outline ofSmart Earth


1. Basic Teaching Information

Course Code

Course TitleSmart Earth

FacultyZhenfeng Shao, Mi Wang, Wei He, Guo Zhang, Yuan Zhuang, You Li, Haigang Sui, Timo Balz


Targeted Studentundergraduate students

Course Credit1

Lecture Hours

consisted of _16_ theoretical hours and ___0_ practical hours

Course Type(公共基础课程Public Basic Course/基础通识课程Basic General Course/核心通识课程Core General Course/一般通识课程General Course/大类平台课程Generic Platform Course/专业必修课Compulsory Specialty Course/专业选修课程Optional Specialty Course

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测绘学概论

Introduction to surveying and mapping


2. Course Introduction

Smart Earth combines Information and Communication Technologies (ICT) with conventional monitoring technologies (e.g. remote sensing), and Environmental Sensor Networks (ESNs, which are spatially distributed monitoring networks containing high densities of sensors and actuators). Simply put, Smart Earth is a set of environmental applications of the Internet of Things (IoT) and is thus analogous to the widely discussed “Smart City”, but used across a much wider range of ecosystems and land use types. Smart Earth supports participation and communication between humans as well as human-machine and machine–machine interactions to provide IoT oriented intelligent services.


The characteristics of smart Earth include: 1) Smart Earth contains the IoT; 2) Smart Earth is oriented towards applications and services; 3) Smart Earth and the physical world are fused together; 4) Smart Earth has advanced networking and maintenance automation.


Smart Earth requires new spatially related infrastructures to support smart applications. The important infrastructures are described as follows:1) Position cloud; 2) Remote-sensing cloud; 3) Space-air-ground sensor networks (SAGSN) and real-time GIS; 4) Fusion of video and GIS; 5) The smartphone as a pervasive sensor; 6) Indoor and underground spatial positioning and navigation; 7) Spatial data mining.


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. Below are some specific applications: 1) Urban management and service; 2) Intelligent transportation; 3) Intelligent home applications; 4) Intelligent personal applications; 5) Intelligent security.


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.


In this talk, we first introduce the key technologies of Smart Earth, which include Digital Earth, Cloud Computing, Internet of Things, Artificial Intelligence, and Big Data.


This presents our works on the advances in Smart Earth applications, which include Smart city, The Birth of Qimingxing and Luojia-3 Satellites, Intelligent Remote Sensing, Remote Sensing and Truth, Intelligent Localization and Perception for Future Development, Motion Sensing in Daily Life, Remote sensing natural disaster monitoring and rapid response, as well as International Cooperation in Remote Sensing, etc.


3. The Allocation of Content and Lecture Hours

Content

Lecture Hours

Smart City

2

The Birth of Qimingxing and Luojia-3 Satellites

2

Intelligent Remote Sensing

2

Remote Sensing and Truth

2

Intelligent Localization and Perception for Future Development

2

Motion Sensing in Daily Life

2

Remote Sensing Natural Disaster Monitoring and Rapid Response

2

International Cooperation in Remote Sensing —— Experiences from almost 20 years of the Dragon Cooperation

2


4. Assessment Methods and Marking Criterion

The grading evaluation of this courseterm paper.

Requirement for the term paper: Including the following components: Title, abstract, introduction, study area, methods, results, discussion, conclusions, and references.

The Due date the submission of your term paper is July 30, 2022.


5. Textbooks and References

l Foundation of Geodesy;

l The Principle and Application of GPS;

l Geoinformatics.

l Ian Goodfellow et.al, Deep Learning, MIT Press, 2016.