Processing of the Earth Remote Sensing Data 
Course Overview 
Level of study
	Master Degree	
Workload	ECTS:  32
Total Hours: 108
Contact Hours:
•	Lectures:
•	Labs: 32
•	Seminars:
	
Course Code	M1.БМ1.2	
Semester
	Winter	
Prerequisites
	GIS	
Course Objectives	To teach students to process remote sensing data to solve application tasks using ERDAS Imagine software.
	
Learning Outcomes
	By the end of the course the student will know: 
Methods and algorithms of the remote sensing data processing. 
The students will be able to:
To solve tasks of remote sensing data interpretation. 
The students will have the experience in:
using systems of remote sensing data processing.	
Syllabus
		
Labs
	Topic 1 Remote Sensing Basics. Data obtaining,  earthexplorer.usgs.gov Internet service basics (labs 6)
Topic 2 ERDAS Imagine basics. Image preparation methods: Layer stack, Spatial resolution enhancement of image (labs 4)
Topic 3 Preprocessing methods: map rectification (labs 6)
Topic 4 Unsupervised Classification of Landsat images using ISODATA (labs 8)
Topic 5 Supervised Classification of Landsat images using Maximum Likelihood Classification Method (labs 8)	
Projects
		
Assessment
	Credit Test ( Pass/Fail) 	
Resources
		
Instructors
	Tokareva Olga Sergeevna
http://portal.tpu.ru/SHARED/o/OST/eng