SYLLABUS: PRINCIPLES OF REMOTE SENSING

GTECH 712, 321 (4 cr/6 hr) M,Th 9:20-12:00 N, 1090B HN

Dr. Karl-Heinz Szekielda

LAB Thursdays: Hyo Jin Ahn

 

 

The course covers the principal concepts and applications of remote sensing for Earth Sciences. The course will have a lecture/projects format with emphasis on interpretation of satellite data in connection with a remote sensing website.

OBJECTIVES:

1. Understanding of spectral signatures to be demonstrated with samples throughout the electromagnetic spectrum.

2. Interpretation of unknown reflectance spectra in relation to features in spectra of minerals, water, vegetation and atmospheric targets.

3. Understanding of principles of remote sensing techniques by outlining a sensor design according to spectral responses of Earth’s surfaces and the atmosphere.

4. Defining the advantages and needs for orbit selection according to acquired ground resolution, spectral characteristics and temporal changes.

5. Demonstration of capability to interpret remote sensing data in order to:

a. Understand the processing and enhancement of satellite images for identifying geological structures and vegetation coverage,

b. Recognize coastal morphology from space,

c. Recognize global changes and environmental monitoring with data from special sensors.

COURSE REQUIREMENTS AND EVALUATION

1. Mid-term examination based on reading assignments, research proposal, and presentations with power point of the first research results.

2. Research on a remote sensing topic in the vicinity of New York, chosen by the student

3. Formal presentation by each student’s research with use of power point projection, to be presented during the last two weeks of classes.

4. Grades will be based on the following distribution of 100 points:

a. Mid-term examination/oral presentation 30

b. Research documentation 40

c. Oral presentation of final research 30

 

LECTURE TOPICS

I. Introduction and History

II. Basic Principles of Imaging Spectrometry

1. The electromagnetic spectrum and atmospheric considerations

2. Imaging spectrometry

III. Spectral Characteristics

1. Spectral characteristics and principles of spectroscopy

2. Spectroscopy of water

3. Spectroscopy of rocks and minerals

4. Spectroscopy of soil

5. Spectroscopy of vegetation

IV. Analysis and Interpretation

1. Spectral analysis for Earth science investigations

2. Integration and visualization of geoscience data

3. Concepts in data and image interpretation

V. Sensors and platforms

1. Visible and infrared sensors

2. Radar technology

3. Remote sensing platforms

 

VI. Applications

1. Geosphere: Imaging spectrometry and geological applications

2. Hydrosphere: Imaging spectrometry of water

3. Biosphere: Imaging spectrometry of vegetation

4. Atmosphere

5. Thermal imaging

6. Global cycles and change detection

 

Links

Education

 
http://science.nasa.gov/headlines/y2000/ast15jun_2.htm
Coast Guard Academy's Remote Sensing Curriculum
Remote Sensing Principles
ITC Home Page
Cartography and Geographic Information Systems
Space Encyclopedia

Data Sources & Education

 
OSS Contents
DLR - Standort Berlin-Adlershof
National Oceanographic Data Center
Alliance for Marine Remote Sensing
GOES Project Science
CIESIN Home Page
Coastwatch Welcome
NASA - Earth Science Enterprise
FLORIDA OCEAN GIS
Global Hydrology Resource Center
JPL PO.DAAC Home Page
JPL's El Niņo Watch
NASA Langley Distributed Active Archive Center
National Snow and Ice Data Center
RADARSAT WWW Server
Sea Surface Temperature Satellite Images
SeaWiFS Project - Standard Regions
SeaWiFS Project Image Archive
SPOT Image welcome page
The Goddard DAAC
"TOPEX Quick-Look" & 10-Day Data Overview
Welcome to the NSSDC!
Applications of the ERS Radar Altimeter - an overview
CZCS MAIN PAGE
Satellite Ocean Colour Sensors
EROS home page
NESDIS Home Page
Earthnet Online
Canada Centre for Remote Sensing Home Page
EOSDIS DAAC at EROS Data Center
GOES Data on the Internet
Swedish Space Corporation

Remote Sensing Technology

 
OCTS
Theory of Synthetic Aperture Radar
NASA Space Instrument and Sensing Technology
SIR-C Description
Quickbird: EarthWatch Constellation
Alaska SAR Facility's Homepage

Satellite Operating Agencies

 
Centre National d'Etudes Spatiales
Agenzia Spaziale Italiana
ADEOS Home Page
CCRS Satellite List
AVHRR Oceans Pathfinder Homepage
National Space Development Agency of Japan
NASA Homepage
National Oceanic and Atmospheric Administration NOAA Home Page

Commercial Satellites

Space Imaging

 

Lab Exercises

Using ENVI, the students will study remote sensing data related to the lecture topics and will select a research topic over an area in the vicinity of New York.

Reading requirement for graduate students, recommended for undergraduates

IMAGING SPECTROMETRY: BASIC PRINCIPLES AND PROSPECTIVE APPLICATIONS

Edited by F. D. van der Meer and S.M. de Jong (2002)

A CDROM accompanies the book "Imaging Spectrometry: Basic principles

and prospective applications" by F. van der Meer and S. de Jong.

Kluwer Academic Publishers, 425 pp.

ISBN 1-4020-0194-0

US$ 40

 

 


 

Fall 2002 Principles of Remote Sensing Lab Schedule

Lab Class Time: Thur. 9:20 am to 12 noon, N 1090B

Lab Instructor : Hyo Jin Ahn (email: intjin@yahoo.com),

web http://geo.hunter.cuny.edu/~hyojin/rslabschedule.html

 

DATA ACCESS FOR LAB EXERCISES:

1.The Data files for tutorial exercises are contained in

D: driver /RSI/Idl55/products/envi35/data/ and

Window NT Explorer>Tools>Map Network Driver>Path>\\Samba\scratch\>envi3.5.data

2.The Data files for projects or assignments are contained in \\Samba\scratch\rsproject.

**Please email me (intjin@yahoo.com) your web site address which you post your lab results by Sep 19th.

 

OTHER REMOTE SENSING SITES ONLINE:

NASA'S Remote Sensing Tutorial http://rst.gsfc.nasa.gov/start.html

Remote Sensing Core Curriculum http://www.research.umbc.edu/~tbenjai/

 

REMOTE SENSING DATA SOURCES & ACQUISITION:

EROS (Earth Resources Observation Systems) Data Center http://edc.usgs.gov/index.html

EROS Data Center DAAC_land processes http://edcdaac.usgs.gov/dataproducts.html

JPL PO.DAAC - physical oceanography http://podaac-www.jpl.nasa.gov/

EARTH SCIENCE DATA INTERFACE http://gorgonzola.umiacs.umd.edu:8811/glcf/esdi?command=search

ACCESS TO LANDSAT DATA http://geo.arc.nasa.gov/sge/landsat/daccess.html

 

LAB # DATE

CONTENT

Ass. Due
Lab1 9/5 Int. to ENVI 3.5:Quick Start Tutorial (tutorial.pdf: p 35 – 45); Data file in envi3.5/data/can_tmr, & envi35/data/vector  
Lab2 9/12 INT 2. ENVI Tutorial #1 (p. 47-71): Data file in envi35/data/can_tmr

File format, Basic functions

 
Lab3 9/19 INT 3: ENVI Tutorial #2 (p. 74-87): Data file in \\Samba\scratch\>envi3.5.data / enfidavi (14 files)

: Introduction to using Panchromatic data, including display, contrast enhancement, filtering, overlay DXF vector file, & mapping with annotation.

Post Lab2 result, the last image "annotated image with a grid overlaid" in your web site by 9/19
Lab4 9/26 Tutorial 4. Image Georeferencing and Registeration (p. 125-131) : Data file in \\Samba\scratch\>envi3.5.dat>envidata>bldr_reg :Image to Image Registeration (do all procedures)

Assignment 2 : Using the georeferenced Landsat 7ETM+ iamge (Data in \\Samba\scratch\rsproject \L7070599)as the Base image, wrap the pixel-based GER g63 aircraft image (Data in \\Samba\scratch\rsproject\Gerg63) into a registered image.

 
Lab5 10/3 Tutorial 4. Image Georeferencing and Registeration (p. 139-142) : Data file in \\Samba\scratch\>envi3.5.dat>envidata>bldr_reg

: HSV Merge of Different Resolution Georeferenced Data Sets

Ass #3 : Merge the Panchromatic band (resolution 15 m) of Landsat7 ETM+ (\\Samba\scratch\rsproject \L7070599) and the band 6 H (Thermal band) to enhance spatial resolution of thermal band.

Post Ass. 2 result in your web by 9/26
Lab6 10/10 Tutorial 3 : Multispectral Classification I (p. 89-100) : Data file in \\Samba\scratch\>envi3.5.data>envidata> can_tm

: examines supervised & unsupervised classification methods

Post the result of

Ass. #3 in your web

by 10/10

Lab7 10/17 Mid-Term Review  
Lab8 10/24 Continue Multispectral Classification II (p. 100-112) :Data file in \\Samba\scratch\>envi3.5.data>envidata> can_tm

: Spectral Classification Methods

 
Lab9 10/31 Tutorial 12. Hyperspectral Data & Analysis

(p.264-286):Samba\scratch\>envi3.5.data>

envidata>c95avs

Post the final result images from Lab 6 & Lab 8 by 10/31
Lab10 11/7 Continue Tutorial 12. Hyperspectral Data & Analysis  
Lab11 11/14 Tutorial 8. Data Fusion (p. 191-200) : Data file in \\Samba\scratch\>envi3.5.dat>envidata> lontmsp, and ….> brestsp  
Lab12 11/21 Tutorial 9. Landsat TM & SAR Data Fusion (p. 201-206) : Data file in \\Samba\scratch\>envi3.5.dat>envidata>rometm_ers Post the final image of Lab 11 by 11/21
Lab13 12/5 Tutorial 20.Near-Shore Marine Hyperspectral Case History (AVIRIS image :Moffett Field, CA) :DATA in \\Samba\scratch\>envi3.5.dat>envidata>M97avsub  
Lab14 12/12 FINAL