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 Course Title:   Introduction to Remote Sensing

 Title Abbreviation:   INTRO/REMOTE SENSING

 Department:    GIS

 Course #:    202

 Credits:    5

 Variable:     No

 IUs:    6

 CIP:    450702

 EPC:    194

 REV:    2017

 Course Description  

Principles and conceptual overview of remote sensing instruments and how data and images are used to monitor and evaluate the condition and distribution of the earth's surface features.


Prerequisite: GIS 102.

Additional Course Details

Contact Hours (based on 11 week quarter)

Lecture: 33

Lab: 44

Other: 0

Systems: 0

Clinical: 0

Intent: Distribution Requirement(s) Status:  

Vocational Supplementary Elective  

Equivalencies At Other Institutions

Other Institution Equivalencies Table
Institution Course # Remarks

Learning Outcomes

After completing this course, the student will be able to:

  1. Understand the principles behind various remotely sensed data types. Utilize four-band digital imagery.
  2. Utilize wildlife telemetry equipment to track wildlife species. Implement topographic classification in LIDAR analysis.
  3. Utilize Normalized Difference Vegetation Index in land cover examinations. Perform habitat modeling with Preference Curves to classify topographic landforms.
  4. Understand drone regulations and their application in natural resource management.

General Education Learning Values & Outcomes

Revised August 2008 and affects outlines for 2008 year 1 and later.

0. Application and Integration

Definition: Applying information from one or more disciplines and/or field experiences in new contexts (Outcome 0.1); developing integrated approaches or responses to personal, academic, professional, and social issues (Outcomes 0.2-0.5).

Outcomes: Students will be able to . . .
0.2 Identify the strengths and limitations of different fields of study.

1. Information Literacy

Definition: Recognizing when information is needed and have the ability to locate, evaluate, and use effectively the needed information.

Outcomes: Students will be able to . . .
1.1 Determine the extent of information needed.
1.3 Evaluate information and its sources critically.

2. Critical Thinking

Definition: The ability to think critically about the nature of knowledge within a discipline and about the ways in which that knowledge is constructed and validated and to be sensitive to the ways these processes often vary among disciplines.

Outcomes: Students will be able to . . .
2.1 Identify and express concepts, terms, and facts related to a specific discipline.
2.3 Identify, interpret, and evaluate pertinent data and previous experience to reach conclusions.
2.6 Recognize how the value and biases in different disciplines can affect the ways in which data is analyzed.

3. Communication

Definition: Understanding and producing effective written, spoken, visual, and non-verbal communication.

Outcomes: Students will be able to . . .
3.1 Recognize, read, and comprehend academic and/or professional writing.

7. Aesthetics & Creativity

Definition: Interpreting human experience through engagement with creative processes and aesthetic principles.

Outcomes: Students will be able to . . .
7.2 Demonstrate knowledge of aesthetic principles.

8. Mathematical Reasoning

Definition: Understanding and applying concepts of mathematics and logical reasoning in a variety of contexts, both academic and non-academic.

Outcomes: Students will be able to . . .
8.2 Correctly apply logical reasoning and mathematical principles to solve problems.
8.3 Interpret information and reasoning expressed mathematically (for example in spreadsheets, diagrams, charts, formulas, etc.).
8.4 Communicate mathematical information effectively.

10. Technology

Definition: Understanding the role of technology in society and using technology appropriately and effectively.

Outcomes: Students will be able to . . .
10.3 Use technology appropriate to the context and task to effectively retrieve and manage information, solve problems, and facilitate communication.

Course Contents

  1. Introduction to remote sensing.
  2. Using Four-Band Digital Imagery.
  3. Wildlife Tracking & Telemetry.
  4. Topographic Classification and LIDAR.
  5. Normalized Difference Vegetation Index.
  6. Habitat Modeling Techniques.
  7. Drones Applications and Regulations.