UA0030 Using Software in Remote Sensing

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code UA0030
Name Using Software in Remote Sensing
Term 2024-2025 Academic Year
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator


Course Goal / Objective

Teaching the IDRISI software used in the Remote Sensing field

Course Content

Opening, preprocessing, exporting, image enhancement, spectral enhancement, classification of remote sensing images in IDRISI program

Course Precondition

none

Resources

Remote sensing with Terr-SET/IDRISI, Timoty A.Warner. Geocartao int.LTD.

Notes

lecture notes


Course Learning Outcomes

Order Course Learning Outcomes
LO01 he/she can use IDRISI
LO02 Understands the processing of satellite data
LO03 Classifies with IDRISI software
LO04 Applies remote sensing techniques to satellite data with IDRISI software


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal At the end of the programme, the students acquire advanced knowledge on remote sensing and GIS theory
PLO02 Bilgi - Kuramsal, Olgusal The students gain knowledge on remote sensing technologies, sensors and platforms and remotely sensed data
PLO03 Bilgi - Kuramsal, Olgusal The students generate information using remotely sensed data and GIS together with database management skills.
PLO04 Bilgi - Kuramsal, Olgusal The students develop the necessary skills for selecting and using appropriate techniques and tools for engineering practices, using information technologies effectively, and collecting, analysing and interpreting data.
PLO05 Bilgi - Kuramsal, Olgusal The students gain knowledge to use current data and methods for multi-disciplinary research 5
PLO06 Bilgi - Kuramsal, Olgusal The students gain technical competence and skills in using recent GIS and remote sensing software 5
PLO07 Bilgi - Kuramsal, Olgusal The students acquire knowledge on potential practical fields of use of remotely sensed data, and use their theoretical and practical knowledge for problem solution in the related professional disciplines. 5
PLO08 Yetkinlikler - Öğrenme Yetkinliği Students will be able to calculate and interpret physical and atmospheric variables by processing the satellite data. 4
PLO09 Yetkinlikler - Öğrenme Yetkinliği Students can generate data for GIS projects using Remote Sensing techniques.
PLO10 Bilgi - Kuramsal, Olgusal Gains the ability to analyze and interpret geographic data with GIS techniques
PLO11 Bilgi - Kuramsal, Olgusal Gains the ability of problem solving, solving, solution oriented application development 4
PLO12 Yetkinlikler - Öğrenme Yetkinliği Acquires the ability to acquire, evaluate, record and apply information from satellite data 5


Week Plan

Week Topic Preparation Methods
1 Overview of remote sensing software no preparation Öğretim Yöntemleri:
Tartışma
2 Integration with GIS software and remote sensing no preperation Öğretim Yöntemleri:
Tartışma
3 What can IDRISI do. Installing the software no preperation Öğretim Yöntemleri:
Gösteri
4 introduction of software and explorer window Studying the relevant part from the book Öğretim Yöntemleri:
Gösterip Yaptırma
5 Displaying Remotely Sensed Data study of the relevant section from the book Öğretim Yöntemleri:
Gösterip Yaptırma
6 Importing, Pre-Processing and Exporting study of the relevant section from the book Öğretim Yöntemleri:
Gösterip Yaptırma
7 Enhancing Images Spatially study of the relevant section from the book Öğretim Yöntemleri:
Gösterip Yaptırma
8 Mid-Term Exam topic repetition Ölçme Yöntemleri:
Ödev
9 Spectral Enhancement Techniques study of the relevant section from the book Öğretim Yöntemleri:
Gösterip Yaptırma
10 Image Ratios study of the relevant section from the book Öğretim Yöntemleri:
Gösterip Yaptırma
11 Introduction to Classifying Multispectral Images study of the relevant section from the book Öğretim Yöntemleri:
Gösterip Yaptırma
12 Introduction to Classifying study of the relevant section from the book Öğretim Yöntemleri:
Gösterip Yaptırma
13 Supervised Classification study of the relevant section from the book Öğretim Yöntemleri:
Gösterip Yaptırma
14 Soft Classification study of the relevant section from the book Öğretim Yöntemleri:
Gösterip Yaptırma
15 An overview no need any preperation Öğretim Yöntemleri:
Tartışma
16 Term Exams general repetition Ölçme Yöntemleri:
Ödev
17 Term Exams general repetition Ölçme Yöntemleri:
Ödev


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 23.09.2024 03:03