G I S - Digital Image Analysis (formerly Remote Sensing 2) GEO 3720-01- Spring, 2008

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Schedule - Click here

EQUIPMENT You Need to Have: 1 Jump Drive

Final Exam: Tuesday May 13, 3 PM-5 PM - Final Exam Schedule

COURSE DESCRIPTION & OBJECTIVES:

This course will provide a basic understanding of the structure and uses of remotely sensed images using the quantitative approach. It will also introduce real data, real problems to students, and their potential solution (s) with state-of-the-art computing. Topics will include land use change as seen on images of different source amd dates, land cover characterization (particularly vegetation and water) using visual, physical and statistical methods. The course material is covered in lectures, tutorials and laboratory work.

Included topics: electro-magnetic spectrum and energy, satellite platforms, digital image enhancement, and digital image classification. The software used is TNTlite, a fully functioning Image Processing program that is a scaled version of the commercial TNTmips.

Three Major Categories of Image Processing

1. IMAGE RESTORATION - compensates for data errors, noise and geometric distrotions introduced during the scanning, recording and playback operations.
2. IMAGE ENHANCEMENTS- alters the visual impact for the image on the interpreter in a fashion that improves the information content.
3. INFORMATION EXTRACTION - utilizes the decision-making capability of the computer to recognize and classify pixels on the basis of their digital signatures.

This course emphasizes at the second two categories.

GRADING: Your grade in this course will be based on 2 exams, 1 paper, and 14 lab grades. Each examination will be 100 points and each lab exercise will be scaled to 20 points for a total of 480 points. The paper gives a total of 530 points as shown on the table below.

Examinations:

The examinations will cover material from class, reading assignments, and labs. The Final Examination will have 100 points on the material since the second examination. - Final Exam Schedule

Makeup Examinations:

There will be NO makeup examinations unless I am notified BEFORE the exam is given AND you have a doctor's notice or other proof; a makeup may be taken no later than 1 WEEK after the normal date of the given exam. Generally, makeups are more difficult than the regular exam.

TERM PAPER - The report is due Thursday, 8 March.

• It should be typed and double-spaced.
• The font used should be no more than 12 points and no less than 10 points.
• Half your sources should be journals and books, NOT web sites.
• The bibliography should be ANNOTATED .

Your project is to examine the uses of Remotely Sensed data in one area of application. It should examine specific spectral signatures and platforms used to read these signatures. It should also include basic calculations needed to interpret imagery in your selected area.

TITLE: The title will be The Applications of Remote Sensing to ________________, where the blank is your choice. Examples are "Wetland Restoration; Wetland Management; Wildlife Management; City Planning; Environmental Management; Geology; Anthropology; or Biology". It should pertain only to satellite platforms and images, and not photographic methods. Airborne digital sensors can be incorporated into the paper.

LABS:

Labs are in Boebel 104 - Printouts and questions are to be turned in at the BEGINNING of the next lab at the latest.
IF YOU LEAVE EARLY from lab, turn in the lab from that day.

Absenteeism:

You are expected to attend class and are responsible for material that is presented in class. Examinations will emphasize what is covered in class.
AS MATERIAL COVERED IS CUMULUTIVE IN NATURE, IT IS ESSENTIAL THAT YOU KEEP UP.
If you don't understand Lab 2 for instance, Every subsequent lab is going to be very difficult because you won't know where things are (file structure/storage is different than the normal "system" file management).

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SCHEDULES:

LECTURE OUTLINE:

SECTION-1 Introduction

• people, course, materials, logistics, computer accounts...
• basics of radiation and Earth surface features
• spectral reflectance measurements: "how green is the grass?"

Standard Color	NIR - the workhorse of Remote Sensing

SECTION-2 The status of remote sensing

• "An image is worth...": from numbers to digital images
• basics of image interpretation

SECTION-3 Basic image computing

• Preprocessing: geometric and radiometric adjustments
• How does a forest, a lake, a city ... look like from space?

SECTION-4 Toward applications of remote sensing

• Images and maps
• How can a computer using some statistics recognize "things"?

SECTION-5 Soil-Water-Plant system: spatial, temporal and social constraints

• Measures of spatial, spectral and temporal information
• Case studies: urban parks, agricultural lands, prairie, NE forests

SECTION-6 The future of remote sensing

• Currently operational and planned systems: where is it going?
• Wrap-up and conclusions

LAB SCHEDULE:

"Any student in this course who has a disability that may prevent him or her from fully demonstrating his or her abilities should contact me personally as soon as possible so we can discuss accommodations necessary to ensure full participation and facilitate your education opportunities."