課程資訊
課程名稱
 遙測學及實習
Remote Sensing and Lab. 
開課學期
 105-2 
授課對象
 理學院  地理環境資源學系  
授課教師
 黃倬英 
課號
 Geog3012 
課程識別碼
 208 39220 
班次
  
學分
 3.0 
全/半年
 半年 
必/選修
 必帶 
上課時間
 星期三2,3,4(9:10~12:10) 
上課地點
 地理305 
備註
 本課程中文授課,使用英文教科書。
限本系所學生(含輔系、雙修生)
總人數上限：50人 
Ceiba 課程網頁
 http://ceiba.ntu.edu.tw/1052Geog3012_RS 
課程簡介影片
 
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課程概述

Remote sensing is a very powerful tool for earth observation; it is also solid science developed from the basics of physics. The objectives of this course are to help students understand: (1) What is remote sensing? (2) How remote sensing can be used to study our environments? 

課程目標
 The course will focus on remote sensing theories and applications. Upon completion of this course, students should understand the basic concepts and theories of remote sensing, and be able to use it to model environments. 
課程要求
 Evaluation:
Mid-term exam 25% x 2
Map book 30%
Group presentation 10%
Participation 10%

There will be two mid-term exams, which are in-class and close book exams. They may include fill in the blank, multiple choice, matching and short essay questions. The previous years’ exams can be found in the course website. Only materials covered in the lectures will be included in the exam. If you can’t make it due to medical emergency, you need to provide a doctor’s note, or there is no make-up exam for you.

Field trip: Participation of the field activities is mandatory. There will be a week long field validation exercise scheduled in this semester. The field dates may be changed subject to the weather condition.

Final group project (Mapbook): The final project is a collective work of the lab exercises based upon the knowledge gained through the course of lectures, which attempts to understand the land use and land cover change of a subset of the Taipei Basin. Students will carry out the project as a group of three students. The project consists of two major parts: image processing and a collection of map stories. In the final presentation, I want you to show me how your time series land use and land cover maps are generated and the quality of your analysis. In addition, I want you to select THREE subsets of the maps and tell me the stories of land use and land cover change of these places. This part is so-called the Mapbook. It should be composed in PPT with 6 slides; each selected story should be presented as a slide of map(s) and a slide of description. This part (6 slides + a cover page with your names) should be presented in the final presentation and turned in at the end of the semester. The Mapbook is worth 30% and it should be evaluated properly and unbiasedly. Therefore, the scores are based upon the peer, teaching assistant’s (TA) and instructor’s evaluations. Every student is asked to select THREE map stories from OTHER groups. The top five map stories with the most picks will be selected as Mapbook 2017. In addition, the intersection of independent evaluations provided by the TA and instructor that is (are) not included in the most-pick group will also be added to the annual map collection. The group with maximum 3-2-1 picks will be graded as 100-97-93%, respectively, for the Mapbook part. Generally, curved scores of 80–90% will be given by referring to the numbers of picks received.

Participation: This part occupies 10% of your final grade and it’s not a given. It consists of three parts: field trip attendance (3%), final presentation attendance (3%) and Mapbook evaluation (4%). We don’t take the roll in this class except for the field trip and final presentation. Also, you are asked to evaluate other groups’ Mapbooks. You should upload your evaluation before the deadline.  
預期每週課後學習時數
  
Office Hours
  
指定閱讀
  
參考書目
 1. Jensen JR. 2005. Introductory Digital Image Processing, 3rd Ed. Prentice Hall, Upper Saddle River, NJ.
2. Schowengerdt RA. 1997. Remote Sensing: Models and Methods for Image Processing. Academic Press, San Diego, CA. 
評量方式
(僅供參考)
    
課程進度
週次
日期
單元主題
第1週
 2/22  Introduction 
第2週
 3/01  Energy sources and atmosphere profiles 
第3週
 3/08  Atmospheric correction and sensor systems 
第4週
 3/15  BRDF and earth spectra 
第5週
 3/22  MIDTERM EXAM I 
第6週
 3/29  Image classification and accuracy assessment 
第7週
 4/05  NO CLASS 
第8週
 4/12  Digital change detection 
第9週
 4/19  Vegetation index I 
第10週
 4/26  Vegetation index II 
第11週
 5/03  MIDTERM EXAM II 
第12週
 5/10  Prelab preparation/Field validation 
第13週
 5/17  Lab 1: Image classification/Quality assessment 
第14週
 5/24  Lab 2: Land use and land cover change 
第15週
 5/31  Lab 3: Final project preparation 
第16週
 6/07  FINAL PRESENTATION 
第17週
 6/14  Mapbook due