Syllabus W4050

Global Assessment and Monitoring
Using Remote Sensing

Instructor:		Chris Small
Schedule:			One hour lecture &  two hour laboratory per week
Suggested Text:		Remote Sensing of the Environment, J.R. Jensen, 2nd Ed.
Evaluation:		Midterm (40%) & Final (60%) or Semester project 

Lecture & Lab Topics WEEK:


1		Motivation & Applications of Remote Sensing
			LAB: Introduction to ENVI image processing software

How Remote Sensing Works

Collecting the Data:   Physics of Remote Sensing

2		Light & Heat:  Physics of ElectroMagnetic Radiation
			LAB: Basic Concepts of Image Processing and Analysis

3		Color & Reflectance:  Visible & Infrared Spectroscopy
			LAB: Basic Concepts of Spectral Analysis

4		Satellites & Orbital Dynamics:  Missions & Data Availability
			LAB: Projections, Geolocation, Warping

5		Sensors and Imaging Systems:  Digital Cameras to Imaging Spectrometers
			LAB: Spatial & Spectral Resolution of Sensors

Converting Data to Information:    Image Processing & Analysis

6		What Sensors Measure: Detection, Resolution & Sampling 
			LAB: Contrast Enhancement & Spatial Filtering

7		Hyperspace: Spectral Transformations & Principal Component Analysis
			LAB: Spectral Transformations & Principal Component Analysis

8		Information Extraction:  Thematic Image Classification 
			LAB: Supervised, Unsupervised & Nonparametric Classification

9		Physical Measurement & Interpretation: Spectral Mixture Analysis
			LAB: Spectral Mixture Modeling

Selected Applications of Remote Sensing:


10		Marine Biological Productivity & Pollution Monitoring 
			LAB: Ocean Circulation and Coastal Productivity

11		Change Detection and Land Use Mapping
			LAB: Multitemporal Change Detection

12		Vegetation Mapping & Monitoring
			LAB: Vegetation Spectroscopy

13 		Deforestation and Biomass Assessment
			LAB: Spatial Analysis & Geographical Information Systems (GIS)



Last Modification: 8/30/08