1. Eğitim Bilgi Sistemi
  2. Kentsel Dönüşüm Pr. (Yl) (Tezsiz) (İö)
  3. Remote Sensıng (2021 - 2022)
Ders Adı Kodu Yarıyıl T+U Saat Kredi AKTS
Remote Sensıng KDP 515 0 3 + 0 3 6
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi YUKSEK_LISANS
Dersin Türü Seçmeli
Dersin Koordinatörü
Dersi Verenler
Dersin Yardımcıları Res. Asst. Derya Evrim KOÇ
Dersin Kategorisi Diğer
Dersin Amacı Getting information about shapes, locations of objects on the earth by using remote sensing data.
Dersin İçeriği A brief history of Remote Sensing; Data structure, force of visual discrimination ; Basic image processing analyst; Image enhancement; Methods of Remote Sensing; Used variables in visual and digital methods; Projects flow schemas; Remote Sensing satellites; Interaction between electromagnetic spectrum and material in Remote Sensing; Spectrum reflection values of materials; Assessment software and hardware; obtaining methods for colored value; Obtaining screen image; statistical analyst methods; radiometric and geometric adjustment; image enhancement, classification methods.
# Ders Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 Define term of remote sensing Lecture, Question-Answer, Testing, Homework,
2 Propose usage areas of remote sensing Lecture, Question-Answer, Testing, Homework,
3 Categorize the ray sources Lecture, Question-Answer, Drilland Practice, Problem Solving, Testing, Homework, Performance Task,
4 Categorize the sensing systems Lecture, Question-Answer, Testing, Homework,
5 Know intended use of satallite data Lecture, Question-Answer, Drilland Practice, Problem Solving, Testing, Homework, Performance Task,
6 Get working with different dicipline Lecture, Question-Answer, Drilland Practice, Problem Solving, Testing, Homework, Performance Task,
Hafta Ders Konuları Ön Hazırlık
1 Basic definitions and concepts
2 Application fields of Remote Sensing
3 Electromagnetic spectrum
4 Energy Resources
5 Electromagnetic radiations
6 Energy-object relation
7 Sensor systems
8 Midterm exam
9 Sensor systems
10 Photographic and optic sensing systems
11 Microwave sensing systems
12 Satellite systems
13 Satellite orbits
14 Application cases
Kaynaklar
Ders Notu 1.) Richards JA, Jia X. Remote Sensing Digital Image Analysis: An Introduction. 3rd Edition,
Springer, Berlin/Heidelberg/New York, 1999.
2.) Jensen JR. Introductory Digital Image Processing: A Remote Sensing Perspective. 2 rd Edition,
Prentice-Hall, Upper Saddle River, NJ, 1996.
3.) Erdas Imagine Temel Yazılımı, 2002, İşlem Şirketler Grubu.
4.)Türkiye Bilimler Akademisi, Ulusal Açık ders malzemeleri, Uzaktan Algılama.
Ders Kaynakları
Sıra Program Çıktıları Katkı Düzeyi
1 2 3 4 5
1
2
3
4
5
6
7
Değerlendirme Sistemi
Yarıyıl Çalışmaları Katkı Oranı
1. Ara Sınav 60
1. Kısa Sınav 10
2. Kısa Sınav 10
1. Ödev 10
1. Performans Görevi (Uygulama) 10
Toplam 100
1. Yıl İçinin Başarıya 50
1. Final 50
Toplam 100
AKTS - İş Yükü Etkinlik Sayı Süre (Saat) Toplam İş Yükü (Saat)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 20 20
Quiz 2 20 40
Assignment 1 10 10
Performance Task (Application) 1 10 10
Toplam İş Yükü 176
Toplam İş Yükü / 25 (Saat) 7,04
Dersin AKTS Kredisi 6