GEOGRAPHY 420 - Remote Sensing & Digital Image Processing T/Th 1:00 - 2:50 Location: 5-215.

Slides:



Advertisements
Similar presentations
Today’s Agenda  Syllabus CS2336: Computer Science II.
Advertisements

CIS 3200 Networking Fundamentals Abdou Illia, Ph.D School of Business Eastern Illinois University (Week 1, Tuesday 1/09/2007)
Principles of Economics Professor Ted Bergstrom. Your Text: Experiments with Economic Principles By Prof. Bergstrom & John Miller.
Introduction CSCI102 - Introduction to Information Technology B ITCS905 - Fundamentals of Information Technology.
Lesson: Remote sensing imagery Zirek Malikova OShTU, Software Engineering Department Module: Data Acquisition and data interpretation.
WX 365 Satellite and Radar Weather Interpretation Dr. Brad Muller.
INTRODUCTION TO NETWORK SECURITY l.Tahani Aljehani.
NC State University Department of Materials Science and Engineering1 MSE 440: Processing of Metallic Materials Instructors: Yuntian Zhu Office: 308 RBII.
INTRODUCTION TO REMOTE SENSING & DIGITAL IMAGE PROCESSING Course: Introduction to RS & DIP Mirza Muhammad Waqar Contact:
E-marketing for Tourism and Hospitality (Course Introduction)
CSCI 1301 Principles of Computer Science I
CIS150AB: Object-Oriented Programming Fundamentals Instructor: Gary R. Smith, MS.
CIS162AD: C#.Net Programming Level I Instructor: Gary R. Smith, MS.
COMP 111 Programming Languages 1 First Day. Course COMP111 Dr. Abdul-Hameed Assawadi Office: Room AS15 – No. 2 Tel: Ext. ??
On-Line Marketing Fall 2000 Dr. Ugur Yucelt MWF 2:00-2:50
GE0 307 – Climate Change Dr. Garver Geography Dept.
CSc 2310 Principles of Programming (Java) Dr. Xiaolin Hu.
Basics of Remote Sensing & Electromagnetic Radiation Concepts.
Welcome to Back to School Night. Mrs. Cooperman (Mrs
Prof. Barbara Bernal NEW Office in J 126 Office Hours: M 4pm - 5:30 PM Class Lecture: M 6 PM - 8:30 in J133 Weekly Web Lecture between Tuesday to Sunday.
Understanding the Academic Structure of the US Classroom: Syllabus.
Astronomy 114 Lab Section 211, Professor Weigel. Outline for Today About Goals for this class Attendance Syllabus Safety Star Project Apparent vs. Absolute.
SKU3033 / SKF3033 NETWORK & SYSTEM ADMINISTRATOR.
Lecture 1: Introduction I am Dr. Rong Fu, your instructor of this class. Welcome to the first class of GEO 302C Climate: Past, Present and Future! Before.
Lecture 0slide 1 Lecture 0-Organization session ECON 4550 Econometrics I Memorial University of Newfoundland.
Course Objectives Discuss fundamental concepts of information technology Show how computers are used as practical tools for solving personal, business,
Remote Sensing GEO483/553, Fall 2013 Tu Th 2:00-3:20pm, 322 Fillmore.
7 elements of remote sensing process 1.Energy Source (A) 2.Radiation & Atmosphere (B) 3.Interaction with Targets (C) 4.Recording of Energy by Sensor (D)
AN INTRODUCTION TO JAVA LANGUAGE CT Credit Hours : (3 Lecture, 2 Lab)
Remote Sensing GEO483/553, Fall 2010 Tu Th 12:30-1:50pm, 352 Fillmore.
1 BUS 3500 MANAGEMENT INFORMATION SYSTEMS Abdou Illia, Ph.D. (Monday 8/24/2015)
CS151 Introduction to Digital Design Noura Alhakbani Prince Sultan University, College for Women.
King Saud University1 CSC 112 Java Programming I Introduction.
ECES-490 Course Policy Stewart D. Personick (SDP) S490_TN/
AB104-01Personal Financial management. Welcome to AB104 Syllabus-Textbook Info, Calculator Info Grading -Availability of grades -1week after due date.
Grading Transparent Clearly defined criteria for each grade No limits on how many students can get any particular grade No curve No preset or target median.
UNITS OF STUDY Introduction to Geography & Culture Southwest Asia (The Middle East) Africa South Asia Southeast/East Asia Europe Latin America North America.
08/29/2006 Introduction INTRODUCTION Instructor: Petru S. Fodor Class webpage: PHYSICS 243H.
STATISTIC & INFORMATION THEORY (CSNB134) COURSE OUTLINES.
INTRODUCTION GC 101. WELCOME TO GC101  Aseel AlHadlaq  Website   
Fundamentals of Lifespan Development MARCH 3 RD – ORAL PRESENTATION & GROUP PAPER.
CMPT 238 Data Structures Instructor: Tina Tian. General Information Office: RLC 203A Office Hour: Tue and Fri 12:30 - 2:00PM.
Course Overview CS 4501 / 6501 Software Testing
MIS323 Business Telecommunications
PATHWAYS 4 Listening, Speaking, and Critical Thinking
Computer Architecture Syllabus
Evaluating Remote Sensing Data
CSC 111 Course orientation
E-BUSINESS SYSTEMS DESIGN IS 232 T
CPSC 441: Computer Communications
BUS 407 Competitive Success-- snaptutorial.com
BUS 407 Education for Service-- snaptutorial.com
BUS 407 Teaching Effectively-- snaptutorial.com
BUS 407 Inspiring Innovation-- snaptutorial.com
7 elements of remote sensing process
Summer 2014 Course Syllabus
GTECH 709 Criteria for evaluation
CS 456 Interactive Software.
System Analysis and Design 2
Pima Medical Institute Online Education
MIS323 Business Telecommunications
CSS-304: Computer Systems Interface
GC201 Visual Programming.
Pima Medical Institute Online Education
Course Overview CS 4640 Programming Languages for Web Applications
Orientation CSC 111.
Course Guide CSC1201 Computer programming 2.
System Analysis and Design 2
BIT 143:Programming & Data Structures in C#
Introduction to the Java Language ​
Presentation transcript:

GEOGRAPHY Remote Sensing & Digital Image Processing T/Th 1:00 - 2:50 Location: 5-215

ASSIGNED READING MATERIALS WILL COME FROM A VARIETY OF SOURCES (ONLINE AND PAPER): Primary Text: Online fundamentals of Remote SensingOnline fundamentals of Remote Sensing Supplementary text: Remote Sensing Tutorial.Remote Sensing Tutorial. Lillesand, T.M. and R.W. Kiefer: 2000, Wiley. Remote Sensing and Image Interpretation.

COURSE OBJECTIVES & TOPICS: This course introduces the theories, methodologies & applications of Remote Sensing. Topics will include; 1. principles of electromagnetic radiation. 2. interactions of solar radiation with the Earth's atmosphere. 3. characteristics of sensor systems. 4. types of data 5. applications of R. S. to vegetation, soil and water. 6. basic skills development in ERDAS Imagine. A detailed schedule including topics, readings, and assignments will be posted online with the progress of the class (see calendar page).

ASSIGNMENTS/QUIZZES (25%): There will be a variety of exercises due weekly or every other week, these may include in and out of class exercises, written and computational exercises, and software and internet based exercises. Quizzes will be in class only. EXAMS (50%): Two exams will be given, midterm (25%), final (25% - cumulative).

Landsat Project (25%): The project will involve downloading Landsat data of the LA basin area and analyzing it using ERDAS Imagine software. ATTENDANCE: An attendance sheet may be passed around or a pop quiz given at some class meetings, each missed class will result in a 1% deduction in final grade.

GRADING: Assignments/Quizzes 25%, Exams 50%, Project 25%. All assignments must be handed in as hard copy in class on the due date (no ed assignments). Only one late assignment will be accepted, for ½ credit. No late assignments will be accepted after an assignment is returned to the class. No makeup quizzes will be allowed.

7 elements of remote sensing process 1.Energy Source (A) 2.Radiation & Atmosphere (B) 3.Interaction with Targets (C) 4.Recording of Energy by Sensor (D) 5.Transmission & Reception (E) 6.Interpretation and Analysis (F) 7.Application (G)

Extract meaningful information from imagery 6. Interpretation and Analysis (F) - the processed image is interpreted, visually and/or digitally, to extract information about the target which was illuminated.

Landsat Project