Instructor: Dr. Kaan Kalkan

Contact Information: kaan.kalkan@tubitak.gov.tr

Office Hours: Everyday via mail

Course Schedule: To be announced

Location: To be announced

Yıldırım Beyazıt Üniversitesi - Bilgisayar Mühendisliği - Remote Sensing (CENG407) - 2024 dersi ile ilgili bilgilerin paylaşılacağı sayfadır.

This course introduces the principles and applications of remote sensing, emphasizing the integration of remote sensing data with computational techniques. The course will cover the fundamentals of remote sensing and image processing techniques applied to remotely sensed data, with a focus on practical applications in various fields such as environmental monitoring, agriculture, and urban planning.

Bilgisayarınıza aşağıdaki açık kaynaklı programları kurmanızı öneririm;

• Monteverdi Orfeo Toolbox
• SNAP
• QGIS

Aşağıdaki web sayfalarına üye olmanızı öneririm;

• USGS Earth Explorer
• Copernicus Open Access Hub

Sentinel verilerinin nasıl indirilebileceği ile ilgili bilgi:

• https://gisgeography.com/how-to-download-sentinel-satellite-data/

Ödevlerin nasıl yapılacağı ile ilgili yönergeler için:

• Orfeo Toolbox ile Temel Uydu Görüntü İşleme: https://github.com/kalkan/OTBileUyduGoruntuIsleme
• SNAP Yazılımı ile Sentinel-2 Verisi İşleme: https://github.com/kalkan/SNAPileSentinel-2

Homeworks

Project

Ders İçeriği

Course Outline

Prerequisites

• Basic knowledge of programming (e.g., Python, MATLAB).
• Familiarity with linear algebra and statistics.

Course Objectives

• Understand the basic principles of remote sensing and electromagnetic spectrum.
• Learn the methods for acquiring, processing, and interpreting remote sensing data.
• Apply image processing techniques to analyze remote sensing data.
• Explore practical applications of remote sensing in various industries.

Grading

• Homework Assignments: 20%
• Midterm Exam: 20%
• Final Exam: 30%
• Final Project: 20%
• Participation: 10%

Course Policies

• Attendance: Regular attendance is expected.
• Late Submissions: Assignments submitted late will incur a penalty unless prior arrangements are made.
• Academic Integrity: Plagiarism and cheating are strictly prohibited and will result in disciplinary action.

Software and Tools

• Python
• MATLAB
• QGIS
• Google Earth Engine
• Orfeo Toolbox

Textbooks and Resources

Primary Textbooks:

• Remote Sensing Digital Image Analysis, John A. Richards, Xiuping Jia
• Remote Sensing and Image Interpretation, Thomas M. Lillesand
• Uzaktan Algılama, Filiz Sunar
• Dijital Görüntü İşleme, Filiz Sunar
• Uzaktan Algılama ve Görüntü Yorumlama, Kaan Şevki Kavak

Supplementary Materials: Selected research papers, online tutorials, and datasets.