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Introduction to Remote Sensing

Course Code:
GIS 350
Course Group(s):
Analytical Reasoning & Scientific Inquiry - Integrated, Degree Applicable, DMRS: Response Practioner Track, ENST: Practitioner Skills Cluster, ENVS: Policy, Planning, and Analysis Cluster, ENVS: Upper Division Science Electives, FWSW - Wildlife Concentration: Physical Science Elective, GIS: Minor Electives, Integrative Studies: ENVS Program Options, Integrative Studies: NRCM Program Options, Lab Courses, NRCM: Practitioner Skills Cluster, Quantitative Problem Solving - Integrated
Course Description:
Building on knowledge from Aerial Photo Interpretation (GIS 220) or Photogrammetry (SRV 210), the fundamentals of non-photographic remote sensing will be presented. Several current types of remotely sensed imagery from various platforms, utilizing many portions of the electromagnetic spectrum, will be discussed. Experience with image analysis and classification techniques using digital image processing software will culminate in a map that will be useful for natural resource management or environmental assessment applications. Students will also learn the importance of statistical map accuracy assessments in order to judge the quality of their own maps or those produced by others. (2 hours lecture, 3 hours lab) Prerequisite: MAT 125 Algebra and GIS 201 Introduction to GIS. Co-requisite: MAT 210 Statistics. Completes General Education Requirements:QP-l, AR-l.
Credit:
3
Prerequisites:
Prereq: Lecture: GIS 201 Lecture Min Grade: D Min Credits: 3.00 And (MAT 210 Lecture (May be taken concurrently) Min Grade: D Min Credits: 3.00 Or MAT 210 Lecture (May be taken concurrently) Min Grade: TR Min Credits: 3.00)
Corequisites:
Coreq: GIS 350 Lecture, GIS 350 Lab
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