Türkçe | English
GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of FOREST ENGINEERING
Doctorate
Course Catalog
http://www.orman.ktu.edu.tr/om/index.html
Phone: +90 0462 +90 (462) 3772805
FBE
GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of FOREST ENGINEERING / Doctorate
Katalog Ana Sayfa
  Katalog Ana Sayfa  KTÜ Ana Sayfa   Katalog Ana Sayfa
 
 

ORML7371Veget. Analy. by Multi-Spectral Satel.Images3+0+0ECTS:7.5
Year / SemesterSpring Semester
Level of CourseThird Cycle
Status Elective
DepartmentDEPARTMENT of FOREST ENGINEERING
Prerequisites and co-requisitesNone
Mode of Delivery
Contact Hours14 weeks - 3 hours of lectures per week
LecturerProf. Dr. Mehmet MISIR
Co-Lecturer-
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
Vegetation analysis in forest ecosystems, relation to stand characteristics vegetation, vegetation modelling
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : Determine the vegatiton indices2,61,3,
PO - 2 : Determine vegetation types wit remote sensing2,3,61,3,
PO - 3 : Develop and model the relation between vegetation and stand characteristics2,62,5,
PO - 4 : Develop and present a case study results to the class using real time exercise of ERDAS Imagine software2,63,5,
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome

 
Contents of the Course
Characteristics of Digital Image Data, Image Preprocessing, Image Interpretation, Image Enhancement, Mothods of Image Enjancement, Band Ratios, Vegetation Indices (NDVI, TNDVI, RVI, IPVI, LAI, vb.), P
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Remote Sensing, Data Sources, Remote Sensing Systems
 Week 2Resolution in Remote Sensing
 Week 3Satellites, natural resources satellites
 Week 4Landsat, Spot, Ikonos,Quickbird, Rasat and Göktürk satellites general features of the application areas
 Week 5Image Pre-processing and Processing Methods
 Week 6Vegetation indices
 Week 7Vegetation indices
 Week 8Image classification
 Week 9Mid-term exam
 Week 10classification on satellite imagery and practices
 Week 11Vegetation indices practices wit ERDAS Imagine
 Week 12Vegetation indices practices wit ERDAS Imagine
 Week 13Vegetation indices practices wit ERDAS Imagine
 Week 14Student presentations
 Week 15Student presentations
 Week 16Final exam
 
Textbook / Material
 
Recommended Reading
1BOZKURT, N.E., ZONTUL, M., ASLAN, Z. 2018, AURUM MÜHENDİSLİK SİSTEMLERİ VE MİMARLIK DERGİSİ,Cilt 2, Sayı 1
2BOZKURT, N.E., ZONTUL, M., ASLAN, Z. 2018, AURUM MÜHENDİSLİK SİSTEMLERİ VE MİMARLIK DERGİSİ,Cilt 2, Sayı 1
3Xue, J. and Su, B. Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications, Volume 2017 |Article ID 1353691 | https://doi.org/10.1155/2017/1353691
4Xue, J. and Su, B. Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications, Volume 2017 |Article ID 1353691 | https://doi.org/10.1155/2017/1353691
5https://www.sciencedirect.com/topics/earth-and-planetary-sciences/vegetation-index
6https://www.sciencedirect.com/topics/earth-and-planetary-sciences/vegetation-index
7https://cdn-acikogretim.istanbul.edu.tr/auzefcontent/19_20_Guz/uzaktan_algilama/1/index.html
8https://cdn-acikogretim.istanbul.edu.tr/auzefcontent/19_20_Guz/uzaktan_algilama/1/index.html
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 07/04/2022 1 30
Presentation 12 29/04/2022 1 20
End-of-term exam 16 25/05/2022 1 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 3 14 42
Laboratuar çalışması 2 3 6
Arasınav için hazırlık 3 10 30
Arasınav 2 1 2
Uygulama 2 4 8
Ödev 3 2 6
Dönem sonu sınavı için hazırlık 3 5 15
Dönem sonu sınavı 1 1 1
Diğer 1 2 5 10
Diğer 2 2 3 6
Total work load126