Course Syllabus

Course Information：

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2026	366206	Satellite Remote Sensing Applications and Lab	1	3.0	3	★	Liao,Tien-Hao	4EE4A 4EE4B 4EE4C	32	0	電機大四合開,預選限40人

Course Plan：

Instructor	Liao,Tien-Hao　Office Hours
Email	thliao@ntut.edu.tw
Last Updated	2026-06-08 20:05:42
Course Objective	本課程將介紹衛星遙測技術基礎，包括衛星通訊軟體及硬體，以及在地球科學、環境管理、農業和城市規劃中的應用。透過理論講授、案例研究和實習，學生將了解衛星遙測技術原理及其在各領域的實際應用。課程強調實際應用和解決問題的能力，並提供實習機會，讓學生參與衛星遙測專案，培養操作技能和解決問題的能力。 This course will cover the basics of satellite remote sensing technology, including satellite communication software and hardware, as well as its applications in Earth sciences, environmental management, agriculture, and urban planning. Through theoretical lectures, case studies, and practical exercises, students will gain an understanding of the principles of satellite remote sensing technology and its practical applications in various fields. The course emphasizes practical applications and problem-solving skills, providing labs for students to participate in satellite remote sensing projects and cultivate their operational skills and problem-solving abilities.
Course Schedule	第1週：課程介紹與衛星遙測基本概念 第2週：衛星遙測的歷史背景與基本原理 第3週：天線系統簡介（類型、頻段、追蹤原理）與應用介紹 第4週：衛星地面接收站架構與運作方式（含下行資料流程、時序控制） 第5週：地面站實習（一）：實地參訪與衛星追蹤演示 第6週：地面站實習（二）：遙測數據接收模擬、基礎資料檔案結構說明 第7週：衛星遙測數據的獲取與存儲（開放資源介紹、資料下載練習） 第8週：衛星影像的預處理方法 第9週：期中考 第10週：光學遙測與無人機影像技術介紹 第11週：衛星影像獲取與處理實驗（平台操作、簡易影像處理） 第12週：遙測影像基本解譯與視覺分析（NDVI、影像分類等） 第13週：遙測應用實驗（一）：農業監測與土地利用變化 第14週：遙測應用實驗（二）：災害監測與應變管理 第15週：學生彙整實習成果與準備個別報告 第16週：期末報告 Course Schedule Week 1: Course Introduction and Fundamentals of Satellite Remote Sensing Week 2: Historical Background and Principles of Remote Sensing Week 3: Introduction to Antenna Systems (Types, Frequency Bands, Tracking Mechanisms) Week 4: Satellite Ground Station Architecture and Data Reception Workflow Week 5: Ground Station Practice I: Site Visit and Satellite Tracking Demonstration Week 6: Ground Station Practice II: Simulated Data Reception and File Structure Overview Week 7: Acquisition and Sources of Satellite Remote Sensing Data (Open Access Platforms) Week 8: Preprocessing of Satellite Imagery Week 9: Midterm Exam Week 10: Optical Remote Sensing and UAV Imaging Technologies Week 11: Practical: Acquiring and Processing Satellite Imagery Week 12: Basic Interpretation and Analysis of Remote Sensing Data (e.g., NDVI, Classification) Week 13: Application Lab I: Agricultural Monitoring and Land Use Analysis Week 14: Application Lab II: Disaster Detection and Emergency Management Week 15: Student Project Preparation: Internship Report and Experience Reflection Week 16: Final presentation
Evaluation and grading policy	1. 作業(40%) 2. 期中考試(30%) 3. 期末專題(30%)。 1. Homework(40%) 2. Midterm(30%) 3. Final project(30%)。
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No Use Tutorial and open source software from NASA and ESA.
The access to curricular consultation	Office hour:email thliao@ntut.edu.tw Office @ 綜科213A
Expanding teaching and resources	● 無 (None)
The course corresponds to the SDGs	無（None）
Does the course incorporate AI	● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） ● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）
Note	第17週：學生分組進行衛星遙測資料分析實作，並運用 AI 工具輔助影像判釋、資料整理與成果製作，分享分析方法與應用成果。 第18週：學生分組進行遙測應用成果展示與心得分享，說明資料處理流程、AI 工具使用經驗及應用成果，並由全班參與討論與交流。 第17週：3小時 第18週：3小時 Course Schedule for Flexible Learning Week 17: Group practice on satellite remote sensing data analysis. Students use AI tools to assist image interpretation, data processing, and result presentation. Week 18: Group presentation of remote sensing application projects. Students share their workflow, AI-assisted analysis experience, and learning reflections through class discussion.