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 (40%), Quizzes (10%), HW (10%)


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:  DigiCams 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 & Modeling: Spectral Mixture Analysis
                 LAB: Spectral Mixture Modeling

Applications of Remote Sensing:


10          Spatio-temporal Analysis & Modeling 
                 LAB: Vegetation phenology mapping
 11         Change Detection and Land Cover Change Mapping
                 LAB: Multitemporal Change Detection
 12         Vegetation Mapping & Monitoring
                 LAB: Vegetation Spectroscopy
 13         Image Interpretation & Field Validation
                 LAB: TBA


Last Modification: 8/30/13