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Information
| Unit | INSTITUTE OF NATURAL AND APPLIED SCIENCES |
| REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS (PhD) | |
| Code | UA604 |
| Name | Spatial Statistical Modeling Methods-II |
| Term | 2025-2026 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. NİYAZİ ARSLAN |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
To demonstrate the application of statistical techniques to the estimate of environmental parameters.
Course Content
Thermal satellites, Hotspot analysis, Anselin Local Moran I statistical method, Thermal image analysis, Application of statistical methods to thermal images, Monitoring of thermal changes in industrial facilities
Course Precondition
There is no pre requires
Resources
- Arslan, N. (2018). Assessment of oil spills using Sentinel 1 C-band SAR and Landsat 8 multispectral sensors. Environ Monit Assess 190, 637. https://doi.org/10.1007/s10661-018-7017-4 - Arslan, N., Majidi Nezhad, M., Heydari, A., Astiaso Garcia, D., & Sylaios, G. (2023). A Principal Component Analysis Methodology of Oil Spill Detection and Monitoring Using Satellite Remote Sensing Sensors. Remote Sensing, 15(5), 1460. https://doi.org/10.3390/rs15051460 - Arslan, N. (2018). Identification of hotspots using different statistical methods in a region of manufacturing plants. Environ Monit Assess 190, 550. https://doi.org/10.1007/s10661-018-6939-1 - Sekertekin, A, Arslan, N., (2019). Monitoring thermal anomaly and radiative heat flux using thermal infrared satellite imagery – A case study at Tuzla geothermal region, Geothermics,78(243-254), https://doi.org/10.1016/j.geothermics.2018.12.014. - Claudia Kuenzer, Stefan Dech (eds), (2013). Thermal Infrared Remote Sensing Sensors, Methods, Applications, ISBN:978-94-007-6639-6, Springer - Ying Li (2023). Oil Spill Detection, Identification, and Tracing. 1st Edition, ISBN-13: 978-0443137785, Elseiver
Notes
Anselin, L. (1995). Local Indicators of Spatial Association—LISA. Fotheringham, A. S., Brunsdon, C., Charlton, M. (2000). Quantitative Geography: Perspectives on Spatial Data Analysis. Bailey, T., Gatrell, A. (1995). Interactive Spatial Data Analysis. Güncel makaleler ve ders notları / Recent articles and lecture notes.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Uses basic knowledge of statistical methods |
| LO02 | It estimates environmental parameters with the use of satellite technologies. |
| LO03 | Analyzes environmental parameters. |
| LO04 | Computes and analyzes information from satellite systems. |
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. | 5 |
| PLO02 | Bilgi - Kuramsal, Olgusal | The students gain knowledge on remote sensing technologies, sensors and platforms and remotely sensed data. | 5 |
| 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. | 5 |
| 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. | |
| 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. | |
| 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. | 5 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | What are environmental parameters? Why are statistical methods important? What is thermal analysis? | Publication, Book | Öğretim Yöntemleri: Anlatım, Tartışma, Soru-Cevap |
| 2 | Literature discussion | Publication, Book | Öğretim Yöntemleri: Anlatım, Tartışma, Soru-Cevap |
| 3 | Literature discussion will be done | Publication, Book | Öğretim Yöntemleri: Anlatım, Tartışma, Soru-Cevap |
| 4 | Determination of land surface temperature change by statistical methods | Publication, Book | Öğretim Yöntemleri: Anlatım, Tartışma, Soru-Cevap |
| 5 | Spatial Statistical Modeling: Hotspot analysis | Publication, Book | Öğretim Yöntemleri: Anlatım, Tartışma, Soru-Cevap |
| 6 | Getis Ord Gi Statistics | Publication, Book | Öğretim Yöntemleri: Anlatım, Tartışma, Soru-Cevap |
| 7 | Anselin Local Moran I Statistics | Publication, Book | Öğretim Yöntemleri: Anlatım, Tartışma, Soru-Cevap |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
|
| 9 | Application of statistical methods to thermal images | Publication, Book | Öğretim Yöntemleri: Anlatım, Tartışma, Soru-Cevap |
| 10 | research of Application of statistical methods to thermal images | Publication, Book | Öğretim Yöntemleri: Anlatım, Tartışma, Soru-Cevap |
| 11 | Applications | Publication, Book, Software | Öğretim Yöntemleri: Anlatım, Tartışma, Alıştırma ve Uygulama, Gösterip Yaptırma |
| 12 | Monitoring thermal changes in industrial facilities with satellite systems | Publication, Book, Software | Öğretim Yöntemleri: Anlatım, Tartışma, Alıştırma ve Uygulama, Gösterip Yaptırma |
| 13 | research of Monitoring thermal changes in industrial facilities with satellite systems | Publication, Book, Software | Öğretim Yöntemleri: Anlatım, Tartışma, Alıştırma ve Uygulama, Gösterip Yaptırma |
| 14 | Monitoring thermal changes in thermal waters with satellite systems | Publication, Book, Software | Öğretim Yöntemleri: Anlatım, Tartışma, Alıştırma ve Uygulama, Gösterip Yaptırma |
| 15 | Monitoring thermal changes in thermal waters with satellite systems studies | Publication, Book, Software | Öğretim Yöntemleri: Anlatım, Tartışma, Alıştırma ve Uygulama, Gösterip Yaptırma |
| 16 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
|
| 17 | Term Exams | 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 | 4 | 56 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 2 | 6 | 12 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 20 | 20 |
| Final Exam | 1 | 24 | 24 |
| Total Workload (Hour) | 154 | ||
| Total Workload / 25 (h) | 6,16 | ||
| ECTS | 6 ECTS | ||