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課程名稱 |
遙測學及實習
Remote Sensing and Lab. |
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開課學期 |
102-2 |
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授課對象 |
理學院 地理環境資源學系 |
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授課教師 |
黃倬英 |
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課號 |
Geog3012 |
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課程識別碼 |
208 39220 |
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班次 |
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學分 |
3 |
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全/半年 |
半年 |
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必/選修 |
必帶 |
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上課時間 |
星期三2,3,4(9:10~12:10) |
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上課地點 |
地理305 |
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備註 |
限本系所學生(含輔系、雙修生)
總人數上限：55人
外系人數限制：5人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1022Geog3012_RS |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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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? |
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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. |
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課程要求 |
Mid-term exams: 2 x 25%
Final exam: 30%
Group presentation: 10%
Lab participation and field trip: 10%
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預期每週課後學習時數 |
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Office Hours |
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指定閱讀 |
待補 |
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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. |
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評量方式
(僅供參考) |
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週次 |
日期 |
單元主題 |
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第1週 |
2/19 |
Introduction |
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第2週 |
2/26 |
Energy sources/Atmosphere profiles |
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第3週 |
3/05 |
Atmospheric correction |
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第4週 |
3/12 |
Sensor systems |
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第5週 |
3/19 |
BRDF and earth spectra |
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第6週 |
3/26 |
MIDTERM EXAM |
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第7週 |
4/02 |
NO CLASS |
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第8週 |
4/09 |
Image classification/accuracy assessment |
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第9週 |
4/16 |
Lab 1: Visual interpretation |
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第10週 |
4/23 |
Lab 2: Image classification |
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第11週 |
4/30 |
Field trip: Field validation |
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第12週 |
5/07 |
Lab 3: Quality assessment |
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第13週 |
5/14 |
Digital change detection |
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第14週 |
5/21 |
GROUP PRESENTATION |
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第15週 |
5/28 |
Image filtering |
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第16週 |
6/04 |
Vegetation index I |
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第17週 |
6/11 |
Vegetation index II |
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第18週 |
6/18 |
FINAL EXAM |