MONTH DAY LECTURE AND LAB TOPIC CHAPTERS IN TEXT
January 11 Introduction/Course Expectations;
Course Overview; The Electro-Magnetic Spectrum
Exercise: Using the ALTA II Reflectance Field Spectrometer 
Chapter 1
Introduction
(Read pgs. 5-33)
  18 Holiday  
  25

Introduction to ArcView Image Analyst; Aerial Photos as Maps; Satellites and Landsat Imagery
Exercise 1a: Downloading & Decompressing Landsat Data
Exercise 1b: Working with Satellite Imagery

Chapter 1
Introduction
(Read pgs. 5-33)
Chapter 2
Sensors
(Read pgs. 34-59)
February 1

The Electro-Magnetic Spectrum - Continued
Remote Sensing Platforms

Exercise 2:
Atmospheric Correction

Chapter 2
Sensors (continued)
(Read pgs. 60-91)
  8

Image Enhancement
Exercise 3: Vegetative Indices/NDVI and Change Detection

Chapter 3
Microwaves
(Read pgs. 92-113)
  15 Holiday Chapter 3
Microwaves (continued)
(Read pgs. 114-139)
  22

Images and Coordinate Systems
Exercise 4:
Burned Area Reflectance Classification (BARC) Mapping and Change Detection

Chapter 4
Image Analysis
(Read pgs. 141-173)
  29

Image Analysis: Change Detection
Exercise 5: Making a Landcover Map
Using Supervised Classification

Chapter 5
Applications
(Agriculture, Forestry,
Geology, Hydrology)
(Read pgs. 174-214)
March 7

Unsupervised & Supervised Classification
Exercise 6: Using Unsupervised  Classification
Exercise 7: Supervised & Unsupervised Classification: Which Works Best for Local Geology?

Chapter 5
Applications (continued)
(Sea Ice, Landcover,
Mapping, Oceans & Coastal)
(Read pgs. 215-253)
  14

Unsupervised & Supervised Classification
Exercise 8: Using Lidar Data in Resource Management

 
  21

Midterm

 
  28 Project Work  
April 4

Project Work

 
  11 Project Work  
  18 Project Work  
  25 Project Presentations 5:30-8:35 pm 

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