UA522 Remote Sensing Techniques in Natural Resources Investment

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

Information

Code UA522
Name Remote Sensing Techniques in Natural Resources Investment
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 Prof. Dr. SUAT ŞENOL


Course Goal / Objective

The purpose is to have knowledge and skill of image interpretation such as aerial photos, satellite images for land use, soil mapping and other thematic mapping purposes.

Course Content

Image interpretation such as aerial photos, satellite images for land use, soil and geology mapping, forestry and other thematic mapping purposes.

Course Precondition

None

Resources

Remote Sensing Techniques Lecture Notes

Notes

Lecture Notes of ITU


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Discriminate natural objects on remote sensing images
LO02 Create thematic maps by the interpretation of remote sensing images
LO03 Applications of image interpretation for the natural research conservation investment
LO04 Recognize Earth Objects Using Aerial Photographs
LO05 Recognize the differences between Aerial Photography and Satellite images


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 2
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 3
PLO06 Bilgi - Kuramsal, Olgusal The students gain technical competence and skills in using recent GIS and remote sensing software 3
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.
PLO08 Yetkinlikler - Öğrenme Yetkinliği Students will be able to calculate and interpret physical and atmospheric variables by processing the satellite data.
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
PLO12 Yetkinlikler - Öğrenme Yetkinliği Acquires the ability to acquire, evaluate, record and apply information from satellite data 3


Week Plan

Week Topic Preparation Methods
1 Introduction Literature review Öğretim Yöntemleri:
Anlatım, Soru-Cevap
2 Basic charakteritics of the remotelly sensed data Literature review Öğretim Yöntemleri:
Anlatım, Soru-Cevap
3 Stereoscopy Literature review Öğretim Yöntemleri:
Anlatım, Soru-Cevap
4 Preparation of remotelly sensed images for interpretation Literature review Öğretim Yöntemleri:
Anlatım, Soru-Cevap
5 Methods used land use mapping Literature review Öğretim Yöntemleri:
Anlatım, Soru-Cevap
6 Land use mapping from remotelly sensed data Literature review and execise Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
7 Land cover mapping from remotelly sensed data Literature review Öğretim Yöntemleri:
Anlatım, Soru-Cevap
8 Mid-Term Exam Prep. Ölçme Yöntemleri:
Yazılı Sınav
9 Use of remotelly sensed data in the forestry application Literature review Öğretim Yöntemleri:
Anlatım, Soru-Cevap
10 Use of remotelly sensed data in the water resources application Literature review Öğretim Yöntemleri:
Anlatım, Soru-Cevap
11 Use of remotelly sensed data in the water resources applications (cont'd) Literature review and exercise Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
12 Use of remotelly sensed data in the urban and regional planing applications Literature review Öğretim Yöntemleri:
Anlatım, Soru-Cevap
13 Use of remotelly sensed data in the wetland and water polution mapping Literature review Öğretim Yöntemleri:
Anlatım, Soru-Cevap
14 Use of remotelly sensed data in the wildlife applications Literature review Öğretim Yöntemleri:
Anlatım, Soru-Cevap
15 Use of remotelly sensed data in the archeological application Literature review Öğretim Yöntemleri:
Anlatım, Soru-Cevap
16 Term Exams Prep. Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Prep Ölçme Yöntemleri:
Yazılı Sınav


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