MCCCD Program Description

Introduction to Digital Image Processing

Course: GIS223

First Term: 2015 Fall

Lecture 4 Credit(s) 3 Period(s) 3 Load
Subject Type: Academic
Load Formula: S- Standard

Description: Uses and application of remote sensing and imagery in Geographic Information Systems (GIS). Uses and application of Global Positioning Systems to GIS and remote sensing.

MCCCD Official Course Competencies
1. Explain the fundamental physical processes behind remote sensing. (I) 2. Outline the history of the development of remote sensing. (II) 3. Interpret remotely sensed image. (III) 4. Identify applications of remotely sensed imagery. (III) 5. Obtain and process remotely sensed imagery. (IV) 6. Differentiate supervised vs. non-supervised classification processes. (IV) 7. Develop and implement a supervised classification scheme. (IV) 8. Produce a classified image based upon the supervised classification process. (IV) 9. Produce a classified image based upon the non-supervised classification process. (IV) 10. Reclassify an image within a GIS. (V,VI) 11. Apply map algebra operations. (VI) 12. Quantify land use change over time using reclassification and map algebra techniques. (VI)
MCCCD Official Course Competencies must be coordinated with the content outline so that each major point in the outline serves one or more competencies. MCCCD faculty retains authority in determining the pedagogical approach, methodology, content sequencing, and assessment metrics for student work. Please see individual course syllabi for additional information, including specific course requirements.

MCCCD Official Course Outline
I. Remote Sensing Basics A. Energy sources and radiation principles B. Data acquisition and interpretation C. Photogrammetry D. History of remote sensing II. Early History of Aerial Photography A. Current Aerial Photography B. Applications of aerial photography C. Introduction of satellite imagery 1. LandSat 2. SPOT 3. EOS 4. MODIS D. Satellite imagery today E. The crossover to private industry 1. Space imaging 2. Digital Globe III. Remote Sensing Imagery A. Interpretation fundamentals B. Applications 1. Land use 2. Geologic 3. Agricultural 4. Forestry 5. Rangeland 6. Water 7. Urban and regional planning 8. Archaeological 9. Environment 10. Wildlife 11. Wetland C. Types of imagery 1. Multispectral 2. Across track scanning 3. Along track scanning 4. Panchromatic 5. Red, Green, Blue (RGB) Multispectral Imagery D. Thermal 1. Forward Looking Infrared Radar (FLIR) 2. Thermal Principles E. Hyperspectral IV. Digital Image Processing A. Digital image creation process B. Scanning C. Histogram D. Orthorectification E. Restoration F. Contrast G. Balance H. Enhancement I. Classification J. Supervised vs. non-supervised V. Applications of Digital Imagery A. Interpretation vs. classification B. Histograms 1. Define histogram 2. Identify a histogram 3. Apply the histogram 4. Manipulate the image through the histogram VI. Integration of GPS, GIS, and Remote Sensing A. Reclassification B. Map Algebra

MCCCD Governing Board Approval Date: June 16, 2015

All information published is subject to change without notice. Every effort has been made to ensure the accuracy of information presented, but based on the dynamic nature of the curricular process, course and program information is subject to change in order to reflect the most current information available.