Akademik Dersler - Tanıtım


Code - Course Title	UCS645 - Remote Sensing of Natural Disaster
Course Type	Elective Courses
Language of Instruction	Türkçe
Laboratory + Practice	3+0
ECTS	7.5
Course Instructor(s)	DOKTOR ÖĞRETİM ÜYESİ RESUL ÇÖMERT
Mode of Delivery	This course is given face to face.
Prerequisites	There is no prerequisite or co-requisite for this course
Courses Recomended	For the course, it is expected to have knowledge about image classification in remote sensing.
Recommended Reading List	Simonovic, Slobodan P. Role of remote sensing in disaster management. Department of Civil and Environmental Engineering, The University of Western Ontario, 2002.
Assessment methods and criteria	1 midterm exams, 1 final exam and 1 coursework
Work Placement	Not Applicable
Sustainability Development Goals

Weeks	Topics
Week - 1	Introduction and content of the course
Week - 2	Basic Concepts in Remote Sensing
Week - 3	Obtaining Information with Remote Sensing
Week - 4	Machine Learning and Image Classification
Week - 5	Natural disasters
Week - 6	Emergency Response After Natural Disaster
Week - 7	Post-Earthquake Remote Sensing
Week - 8	Taşkın Sonrası Uzaktan Algılama
Week - 9	Post-Landslide Remote Sensing
Week - 10	Post-Forest Fire Remote Sensing
Week - 11	Remote Sensing Applications in Mapping Natural Disasters
Week - 12	Remote Sensing Applications in Mapping Natural Disasters
Week - 13	Remote Sensing Applications in Mapping Natural Disasters
Week - 14	Remote Sensing Applications in Mapping Natural Disasters

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Toplam (%)		0