Satellite Remote Sensing for Environmental Analysis



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Example syllabus from Fall 2011 ENVIRON 357 Fall Satellite Remote Sensing for Environmental Analysis T, Th 11:40-12:55 LSRC A211 LAB T, Th 1:15 2:30 LSRC A153 (ICL) Instructor: Jennifer Swenson (jswenson@duke.edu) Office: LSRC A207B Phone: 668-0606 COURSE DESCRIPTION: Environmental analysis using primarily satellite remote sensing. Theoretical and technical underpinnings of remote sensing (georectification, image analysis, classification) coupled with practical applications (land cover mapping, change analysis, ground truth techniques). Strong emphasis on hands-on processing and analysis. Will include variety of image types: multi-spectral, hyper-spectral, radar and others. Prerequisite: Environ 259 or consent of instructor. COURSE OBJECTIVES: To develop an understanding of the different techniques that may be utilized in computer processing of remotely sensed data and the characteristics of products obtained; To learn various approaches for developing thematic and continuous data products from remotely sensed data, including the use of field data and the impact of different approaches on results; To develop an understanding of the characteristics of a variety of sensor systems and understand the different processing approaches suitable for each; To develop the capacity to read the remote sensing literature critically. STRUCTURE: Tuesdays will be for lecture-based material introducing the theme/subject of the week. We will apply these concepts in lab the same afternoon. Thursday's lecture periods will consist of a student-led group discussion of a research paper of a similar/related them or in some cases a guest lecture. Thursday lab time is generally a continuation of the lab started on Tuesday. Lab assignments will be due the following Tuesday, 5pm. in the TA s mail box. The materials in the course are generally structured towards the 2nd year MEM student, and PhD students having some GIS experience. READINGS: The required textbook is Fundamentals of Satellite Remote Sensing, Chuvieco & Huete 2010. CRC Press. ($75-99; can be ordered at the Gothic Bookshop- no shipping charges). In addition to weekly reading from the text book, a set of additional readings (peer reviewed scholarly journals and reports) derived from multiple sources will be provided via electronic reserves through Blackboard. You should complete assigned readings prior to class in order to make the most of lecture and lab sessions. The main resources are denoted in the syllabus as: C&H (Chuvieco & Huete) Articles denoted by author s last name and year. e.g. Song (2001)

COURSE WEBSITE: The Duke Blackboard system is used extensively in this course to post various class materials (e.g., lecture notes, readings, supplementary resources/web sites) and to post student grades for all exams, quizzes and activities. The Blackboard website is: https://courses.duke.edu. GRADING: Lab reports = 45% Midterm Exam = 25% (Standard closed book) Class Project = 25% Participation (Primarily literature discussions) 5% GENERAL POLICIES: Attendance: Much of the factual information for which you are responsible is contained in the lectures. And the application of that material will happen in our lab exercises. Therefore, although attendance is not taken on a regular basis, absences will be detrimental to your understanding of the subject matter and will be considered in evaluating your class participation. Ethics: For this class you are expected to arrive at your final results, whether in the lab or your class proejct, on your own (unless you've chosen to do a group project). You can collaborate and help each other along the way while you are working through the lab in ENVI (helping with commands, procedure), but your files, results and written report must be solely your own. Auditors: The materials in the course are generally structured towards the 2nd year MEM student, and PhD students with GIS background. I want to emphasize however, that while we welcome participation in the lectures and article discussion, the lab participation may be limited. You will have to use your own home drives as your workspace (there will be limited class drive space this fall because of the number of geospatial courses being offered) and students that are registered for the course will get priority in terms of one-on-one help during lab time. Nicholas School Honor Code: All activities of Nicholas School students, including those in this course, are governed by the Duke Community Standard: The Duke Community Standard: Duke University is a community dedicated to scholarship, leadership, and service and to the principles of honesty, fairness, respect, and accountability. Citizens of this community commit to reflect upon and uphold these principles in all academic and nonacademic endeavors, and to protect and promote a culture of integrity. To uphold the Duke Community Standard: I will not lie, cheat, or steal in my academic endeavors; I will conduct myself honorably in all my endeavors; and I will act if the Standard is compromised.

Week Tuesday Class 11:40-12:55 Lab T 1:15-2:30 Thursday Class 11:40-12:55 Lab ) Th 1:15-2:30 1 Introduction to RS, Electromagnetic Radiation, Signatures, Satellites 30 Aug C&H :1-20 (skim) ; 21-60 (thorough!) Tatem et al. 2008. Suggested: Canadian Remote Sensing tutorial Assignment sheet Introduction to Imagine-- Imagine Tour Guide 2 Imagery Types, Image Geometry, Geometric Correction 6 Sept C&H : 63-78 (stop @3.4); 87-111 (skim, start @ sect. 6.6.3); 191-194 (stop@6.6.2); 218-234 (thorough) Goward 2006 Geometric Correction, TM 3 Radiometric Correction 13 Sept C&H : 194-218 (stop@6.6.3); review 57-59, read lab! Chander et al. (2009) Song et al. (2001) Atmospheric and Radiometric Correction, TM Chander et al. (2009) Song et al. (2001) 4 Spectral enhancements 20 Sept C&H : 159-184; 237-264; skim 265-270 Pettorelli 2005 Huutich et al 2007 Spectral enhancement/i ndices (VI s, TCI, PCA) (TM, CASI-2) Discussion Pettorelli 2005 & Huutich et al 2007 5 Active remote sensing: LIDAR

27 Sept, also with Ben Riegel talk C&H : sect.3.4.2 : 85-87 Lefsky et al 2003 Hughes Lidar in eastern NC wetland Discussion Lefksy et al. 2003 Hughes 6, 7 & 8 Classification, Fall Break & Midterm Review 4 Oct C&H :271-301 Classification- Unsupervised, Columbia SC. Supervised Classification 11 Oct FALL BREAK Th. Lowry 2007 Dennison 2010 Skim: Chen 2008 TO DO: Your Favorite Satellite Your project title on wiki! Classification- Supervised & Accuracy Assessment, Columbia SC 18 Oct C&H :305-308 Lowry 2007 Dennison 2010 Chen 2008 (skim) lab continued Mariano s presentation- CART classification in Argentina /Midterm review Open lab time 9 Midterm and Accuracy Assessment 25 Oct!λ MIDTERM λ! Downloading an image/ TBA- C&H : 343-369 Downloading an image/ 10 Change Detection 1 Nov C&H : 310-329 Lu et al 2003. Asner CLAS Change detection Discussion w/ Mariano Gonzales: Lu 2003 Asner CLAS 11 MODIS 8 Nov Guest Speaker: John Iiames, EPA C&H : review 99-104 Justice 2002 Running MODIS; time series in NC Justice 2002 Running Guest EPA speaker? 12 Active remote sensing: RADAR

15 Nov C&H : 78 (3.4) -85, review 106-108?Townsend 2002??Treuhaft 2004? Backscatter and Biomass in Duke Forest?Townsend 2002??Treuhaft 2004? 13, Hyperspectral 22 Nov Cancelled THANKSGIVING RECESS 29 Nov Hyperspectral; Dr. Sonia Silvestri C&H :302-305, review 108-110 Discuss Ustin 2004 Asner 2008 Hyper Spectral exploration lab Hyperspectral Discussion & Wrap-up lecture