COURSE SCHEDULE

I - (1st quarter) II - (2nd quarter)

Week 1 - 2 - 3 - 4 5 - 6 - 7 - 8 - 9 - 10 - 11 - 12 -13 - 14 -15 - 16 -17 - 18 - 19 - 20 - 21

Robert E. Ford Instructor - Email: rford@llu.edu


SCHEDULE-I - 1st quarter - September 25 - December 14, 2007
WEEK
LECTURE TOPICS

SPEAKERS & READINGS

Tuesday Evenings
6:00 - 9:00 PM
Geoinformatics Lab

LABORATORY ACTIVITIES
Thursday Evenings
6:00 - 9:00 PM
(Geoinformatics Lab)
OTHER RESOURCES
1

To TOP

Overview of course, plan, and goals (Ford)

** Emerging Trends in RS(Foresman-PPT at ESRI and RU April 6, 2005

-Concepts in Earth System Science (ESS) - See:

-Intro to SDI and GISD: What is Spatial Data Infra-structure?

Who Needs SDI?
Presentation made in late 2004 at Earth Institute Conference on Global Spatial Data - Blackboard.

SDI Overview (Lance and Bassole) - Powerpoint (PDF)
Overview of concepts and practice of SDI (Spatial Data Infrastructure) - blackboard

See:

FGDC - Federal Geographic Data Committee

GSDI - Cookbook Index - SDI Newsletters

SDI Africa: An Implementation Guide (GSDI) (UNECA - Geoinformation Team)

OGC - OpenGeospatial Association

OGC - Specifications - Standards

ESRI and OpenSource Standards

ESRI and ArcGIS and Interoperability

WMS - What is it (see ARC3WMS)

GISD_Report - PPT (powerpoint) - on blackboard

 

KEY ONLINE RESOURCES

Faculty: Robert Ford - Intro to ESS Concepts - see LLU-ESSE21 Project:

Select Earth System Science (ESS) Online Readings:

Spatial Data Infrastructure (Ford) - continued:

LAB Week 1:

TBA (to be arranged)

 

2

To TOP

a) History of RS

b) Platforms/Sensors

SEE > Powerpoint)

c) DATA PORTALS:

How and Where to Find Data:Remote Sensing Data Portals, e.g. Digital Earth (Ford)

d) Geobrowsers (NASA WorldWind, SERVIR-VIZ, Google Earth, ArcExplorer

d) OPEN SOURCE TOOLS:

Powerpoint by: Tim W. Foresman, President, ICRSE (International Center for Remote Sensing Education) Professor, University of Maryland

READ: Jensen, John R., 2000, Remote Sensing of the Environment: An Earth Resource Perspective, Prentice Hall: Upper Saddle River, NJ, 544 pages. Chapter 3.

History of Aerial Photography, Remote Sensing and Space Flight:

USING GOOGLE EARTH (and other Geobrowsers) and& conversion of SHP and other files to KML/KMZ:

LAB Week 2:

a) RS Review:

-Why Satellite Images have different colors Virtual Hawaii

-CCRS - What is Remote Sensing Tutorial

b) INTRO TO ERDAS IMAGINE - see powerpoint -PDF version

OTHER TOOLS:

 

 

 

 

KEY ONLINE RESOURCES

DICTIONARY OF ABBREVIATIONS

Jensen, John R., 2000, Remote Sensing of the Environment: An Earth Resource Perspective, Prentice Hall: Upper Saddle River, NJ, 544 pages. (Amazon.com listing).

UNB - Remote Sensing and GIS Glossaries

Key Terms - Remote Sensing

Key Terms - Map Use

Research and Reference Tools: GIS/RS, Knowledge Management, Decision Support, Information Science

University of Nebraska Resources for Health and GIS/RS

Educator's Resources (NASA Observatorium)

GSFC/NASA - Remote Sensing Tutorial (more advanced)

Asian Tsunami - before/after satellite images - Denmark (google/Tsunami Relief site) - Receding waters, Kalutara Beach, Sri Lanka - Digital Globe

Asian Tsunami - NOAA Animations

Asian Tsunami-2004 CGIAR-CSI resources - IWMI page

ESRI - Asian Tsunami Diasaster 2004 - resources - see also Geodata.gov

There are several free PC/Windows viewers available from the internet.  They are listed below.  They will all read GeoCover data in the MrSid format.  Most will also read data in the GeoTIFF format used in the sample data sets.
Name URL Comment
MrSid www.lizardtech.com Allows saving a section of the overall image as a TIFF file
GeoViewer www.lizardtech.com Allows saving a section of the overall image as a TIFF file
Freeview www.pcigeomatics.com Allows changing brightness, contrast, equalization of image
ArcExplorer www.esri.com Scale bar available at bottom, add layers
MapSheets Express www.erdas.com Allows changing brightness, contrast, add layers
Viewfinder www.erdas.com 3 panels; adjust brightness, contrast, sharpen, etc.
dlgv32pro

mcmcweb.er.usgs.gov/drc/dlgv32pro/

Allows overlays, grids as lat-long or UTM or none

From: An Introductory Landsat Tutorial - NASA-SSC

 

3

To TOP

Intro to Remote Sensing & GIS/GPS for Field research:

a. Map Projections, Datums, Coordinate Systems (Ford) -

NOTE: For those without sufficient background.

Fundamentals of Physical geography - Maps, Remote Sensing and GIS

Geographic coordinate conversion Toolbox: (courtesy of Chuck Taylor)

Map exercise (Great Salt Lake)

b. GPS Basics - Powerpoint - Paul Burgess - Redlands Institute

Map exercise (Great Salt Lake)

READINGS:

Jensen, John R., 2000, Remote Sensing of the Environment: An Earth Resource Perspective, Prentice Hall: Upper Saddle River, NJ, 544 pages. Chapter 1

Spencer, John, Brian G. Frizzelle, Phillip H. Page, John B. Vogler 2003. Global Positioning System: A Field Guide for the Social Sciences. Blackwell Publishers. Chapters 1-5

Lab Week 3:

a) Doing a LAYER STACK - creating a multiband Image

 

 

DICTIONARY OF ABBREVIATIONS

Jensen, John R., 2000, Remote Sensing of the Environment: An Earth Resource Perspective, Prentice Hall: Upper Saddle River, NJ, 544 pages. (Amazon.com listing).

Research and Reference Tools: GIS/RS, Knowledge Management, Decision Support, Information Science

Remote Sensing Core Curriculum - home

Principles of Remote Sensing (John Jensen)

ICRSED (International Center for Remote Sensing Education)

University of Nebraska Resources for Health and GIS/RS

McCoy, Roger M. 2005. Field Methods in Remote Sensing. The Guilford Press. (to be assigned).

Table 4. Appearance of Features on Composite Images. From: An Introductory Landsat Tutorial - NASA-SSC
  True Color

Red:      Band 3 
Green:  Band 2
Blue:     Band 1

False Color

Red:      Band 4
Green:  Band 3 
Blue:     Band 2

SWIR (GeoCover)

Red:      Band 7
Green:  Band 4
Blue:     Band 2

Trees and bushes Olive Green Red Shades of green
Crops Medium to light green Pink to red Shades of green
Wetland Vegetation Dark green to black Dark red Shades of green
Water Shades of blue and green Shades of blue Black to dark blue
Urban areas White to light blue Blue to gray Lavender
Bare soil White to light gray Blue to gray Magenta, Lavender, or pale pink

 

Manual for Users of the Center for Earth Observation (CEO)

Table 8: Some Common TM Band Combinations

R,G,B Comments & Applications
3,2,1 True Color. Water depth, smoke plumes visible
4,3,2 Similar to IR photography. Vegetation is red, urban areas appear blue. Land/water boundaries are defined but water depth is visible as well.
4,5,3 Land/water boundaries appear distinct. Wetter soil appears darker.
7,4,2 Algae appears light blue. Conifers are darker than deciduous.
6,2,1 Highlights water temperature.
7,3,1 Helps to discriminate mineral groups. Saline deposits appear white, rivers are dark blue.
4,5,7 Also used for mineral differentiation.
7,2,1 Useful for mapping oil spills. Oil appears red on a dark background.
7,5,4 Identifies flowing lava as red/yellow. Hotter lava is more yellow. Outgassing appears as faint pink.

 

 

4
To TOP

a. Electromagnetic Spectrum-The Visible Portion of the Spectrum:

b. Principles of Aerial Photo-interpretation:

Why Satellite Images have different colors Virtual Hawaii

-CCRS - What is Remote Sensing Tutorial

-An Introductory Landsat Tutorial - NASA-SSC

c. Data and File Format Issues (Ford) - using Photoshop as an alternative:

READINGS:

Jensen, John R., 2000, Remote Sensing of the Environment: An Earth Resource Perspective, Prentice Hall: Upper Saddle River, NJ, 544 pages. Chapter 4-6

GIS/RS Data/FILE FORMATS:

GPS Basics - Powerpoint - Paul Burgess - Redlands Institute

 

LAB Week 4:

a) Doing an image SUBSET in ERDAS Imagine (and "snapshot") - continued

DICTIONARY OF ABBREVIATIONS

MORE GPS Help:

Creating basemaps for Garmin GPS units

usually entails using their Mapsource software, which is
quite expensive depending on the detail of the map data. 
However, you can create very simple basemaps and
upload them to your Garmin GPS using available, free
software.  Here is a site that lists the software available
and "how-to" instructions.  Making your own maps can
be quite tedious, but it does save money.

http://www.travelbygps.com/authoring.php#gpsmaps - links to mapping software

http://cgpsmapper.com/ - free if used only for simple basemaps

http://home.cinci.rr.com/creek/garmin.htm - requires Mapsource

http://www.gpsinformation.org/adamnewham/article1/gpsmapper.htm - requires Mapsource

Other options if your GPS did not
come with Mapsource:

From (http://freegeographytools.com/2007/garmin-mapsource-for-free)

5
To TOP

a. Electromagnetic Spectrum as a Tool for Remote Sensing

 

 

b. LULC Change - Landuse/Land cover change principles

Overview of Land Use/Land Cover Classification

 

DATA PORTALS:

 

Lab Week 5:

a) Introduction to LULC and the FAO-LCCS

b) Doing an UNSUPERVISED CLASSIFICATION in ERDAS Imagine

 

6

To TOP

a) LULC Module - Continued:

Overview of Land Use/Land Cover Classification

b) Multispectral and Hyperspectral sensors

Why Satellite Images have different colors Virtual Hawaii

Image Interpret. Quiz - CCRS

AVIRIS Data? - CSR/Utexas

CCRS - Looking at the Earth's environment through the eyes of a satellite

CCRS - Satellites and Sensors

Data Portals (Modis, RCAC, GLCF, EOS, TERRA, etc)

READINGS:

Jensen, John R., 2000, Remote Sensing of the Environment: An Earth Resource Perspective, Prentice Hall: Upper Saddle River, NJ, 544 pages. Chapter 7

CCRS - Hyperspectral Imaging

Hyperspectral remote sensing, also known as imaging spectroscopy - CSR/Utexas

HYPERSPECTRAL SENSORS, ALGORITHMS, APPLICATIONS - Opto-Knowledge Systems, Inc.

Lab Week 6:

Continued - LULC Module:

Do an UNSUPERVISED CLASSIFICATION in ERDAS Imagine

Overview of Land Use/Land Cover Classification

Data Portals (Modis, RCAC, GLCF, EOS, TERRA, etc)

DICTIONARY OF ABBREVIATIONS

ClarkLabs - Clark University - IDRISI Kilimanjaro and CartaLinx

GIS/Remote Sensing Products Overview from ERDAS/Leica Geosystems

AHI is an airborne hyperspectral imaging system - University of Hawaii

Imaging Spectrometers - University of Zurich/Switzerland

Hyperspectral Imaging - GlobalSecurity.org

7

To TOP

Thermal Infrared-

IR Through the Ages - A Historical Perspective - Omega.com

Advanced Very High Resolution Radiometer (AVHRR) - USGS-EDC

Introduction to Thermal Infrared Remote Sensing - UCSB
 

AVHRR - Advanced Very High Resolution Radiometer - Thermal Remote Sensing (oceanic) - Institute for Marine Remote Sensing (IMaRS)

READINGS:

Jensen, John R., 2000, Remote Sensing of the Environment: An Earth Resource Perspective, Prentice Hall: Upper Saddle River, NJ, 544 pages. Chapter 8

KEY ONLINE RESOURCES

Data Portals (Modis, RCAC, GLCF, EOS, TERRA, etc)

Lab Week 7:

 

Do a SUPERVISED CLASSIFICATION in ERDAS Imagine

 

Data Portals (Modis, RCAC, GLCF, EOS, TERRA, etc)

DICTIONARY OF ABBREVIATIONS

Jensen, John R., 2000, Remote Sensing of the Environment: An Earth Resource Perspective, Prentice Hall: Upper Saddle River, NJ, 544 pages. (Amazon.com listing).

Research and Reference Tools: GIS/RS, Knowledge Management, Decision Support, Information Science

Remote Sensing Core Curriculum - home

Introductory Digital Image Processing

Principles of Remote Sensing (John Jensen)

8

To TOP

Thermal Infrared - - continued

READINGS:

Jensen, John R., 2000, Remote Sensing of the Environment: An Earth Resource Perspective, Prentice Hall: Upper Saddle River, NJ, 544 pages. Chapter 8

KEY ONLINE RESOURCES

Data Portals (Modis, RCAC, GLCF, EOS, TERRA, etc)

CCRS - Satellites and Sensors

Lab Week 8:

 

Data Portals (Modis, RCAC, GLCF, EOS, TERRA, etc)

DICTIONARY OF ABBREVIATIONS

Jensen, John R., 2000, Remote Sensing of the Environment: An Earth Resource Perspective, Prentice Hall: Upper Saddle River, NJ, 544 pages. (Amazon.com listing).

Research and Reference Tools: GIS/RS, Knowledge Management, Decision Support, Information Science

Remote Sensing Core Curriculum - home

Introductory Digital Image Processing

Principles of Remote Sensing (John Jensen)

9

To TOP

Active/Passive Microwave, RADAR, and LIDAR - Robert Ford

READINGS:

Jensen, John R., 2000, Remote Sensing of the Environment: An Earth Resource Perspective, Prentice Hall: Upper Saddle River, NJ, 544 pages. Chapter 9

KEY ONLINE RESOURCES

Data Portals (Modis, RCAC, GLCF, EOS, TERRA, etc)

KEY ONLINE RESOURCES

READINGS: to be assigned

Campbell, James B. 2002. Introduction to Remote Sensing. (3rd Edition). The Guilford Press. to be assigned.

Jensen, John R., 2000, Remote Sensing of the Environment: An Earth Resource Perspective, Prentice Hall: Upper Saddle River, NJ, 544 pages.

Jensen, John R., 2004, Introductory Digital Image Processing, 3rd Ed., Upper Saddle River, NJ: Prentice Hall, 526 pages.

Lab Week 9 :

 

Data Portals (Modis, RCAC, GLCF, EOS, TERRA, etc)

DICTIONARY OF ABBREVIATIONS

Jensen, John R., 2000, Remote Sensing of the Environment: An Earth Resource Perspective, Prentice Hall: Upper Saddle River, NJ, 544 pages. (Amazon.com listing).

Research and Reference Tools: GIS/RS, Knowledge Management, Decision Support, Information Science

Remote Sensing Core Curriculum - home

Introductory Digital Image Processing

Principles of Remote Sensing (John Jensen)

10

To TOP

Applications of Remote Sensing:

-Vegetation

-Water

-Urban

-Soils

-Oceanic

-Biodiversity

READINGS:

Jensen, John R., 2000, Remote Sensing of the Environment: An Earth Resource Perspective, Prentice Hall: Upper Saddle River, NJ, 544 pages. Chapter 10-13

KEY ONLINE RESOURCES

Data Portals (Modis, RCAC, GLCF, EOS, TERRA, etc)

 

Lab Week 10 :

 

Data Portals (Modis, RCAC, GLCF, EOS, TERRA, etc)

DICTIONARY OF ABBREVIATIONS

Jensen, John R., 2000, Remote Sensing of the Environment: An Earth Resource Perspective, Prentice Hall: Upper Saddle River, NJ, 544 pages. (Amazon.com listing).

Research and Reference Tools: GIS/RS, Knowledge Management, Decision Support, Information Science

Remote Sensing Core Curriculum - home

Introductory Digital Image Processing

Principles of Remote Sensing (John Jensen)

11

To TOP

FINAL EXAM FINAL EXAM FINAL EXAM FINAL EXAM

Back to TOP

SCHEDULE II - 2nd quarter - January 7 - March 21, 2008

 

WEEK
LECTURE TOPICS & OBJECTIVES

SPEAKERS & READINGS

To be arranged
with Redlands Institute

Geoinformatics Lab

LABORATORY ACTIVITIES

To be arranged with Redlands Institute

(Geoinformatics Lab)

RESOURCES and READINGS ONLINE
12

To TOP

Introduction to Systems Thinking and Modeling Using STELLA:

Robert Ford, Lee Greer, Guests and Mailen Kootsey

Lecture: Robert Ford and Mailen Kootsey - and GUEST

BOOK READINGS:

Anderson, Virginia and Lauren Johnson. 1997. Systems Thinking Basics: From Concepts to Causal Loops. Pegasus Communications; Bk&CD-Rom edition.

Isee Systems. 2004. Introduction to Systems Thinking with STELLA Guide (Win).

Systems thinking: critical thinking skills for the 1990s a nd beyond Barry Richmond (PDF file)

System Dynamics/Systems Thinking:
Let's Just Get On With It
.
by Barry Richmond Delivered at the 1994 International Systems Dynamics Conference in Sterling, Scotland

Ford, Andrew. 1999. Modeling the Environment Island Press. See: Chapter 1. Overview - Exercises - Models and Cases (Amazon listing).

Lab Week 12:

 

DICTIONARY OF ABBREVIATIONS

Systems Science/Cybernetics Tools and Resources

Research and Reference Tools: GIS/RS, Knowledge Management, Decision Support, Information Science

Key Terms - Earth Systems and HDGC

GEOG 186 - UCSB - homepage 

Lecture materials  on RAR  (UCSB)- "Regions at Risk"

13

To TOP

Introduction to Systems Thinking and Modeling - Using STELLA

 

CHOOSE PROJECT--

Divide into research teams (Biodiversity, Norton Neighborhoods, and health focus areas) Robert Ford, Ron Graybill, Seth Wiafe and Redlands Institute

Robert Ford and Mailen Kootsey and GUEST

SEE PROJECT IDEAS:

  • West Nile Virus (to come)

Lab Week 13

 

Finalize Research Plan/Statement for Individual or Team Project

DICTIONARY OF ABBREVIATIONS

Research and Reference Tools: GIS/RS, Knowledge Management, Decision Support, Information Science

14

To TOP

Introduction to Spatial Modeling:

DSS (Decision-Support) - IDRISI Tools

Guests: CGISR/Pomona--Miriam Cope

ESRI - ArcGIS Spatial Analyst

Lab Week 14:

 

 


DICTIONARY OF ABBREVIATIONS

Research and Reference Tools: GIS/RS, Knowledge Management, Decision Support, Information Science

15

To TOP

Spatial Modeling & DSS (Decision-Support) IDRISI Tools - continued

Guests: CGISR/Pomona--Miriam Cope

KEY ONLINE RESOURCES

IDRISI Kilimanjaro

Book: Spatially Integrated Social Science (Spatial Information Systems) by Michael F. Goodchild, Donald G. Janelle

Lab Week 15:

Find Sources of Data/Imagery HERE (Modis, RCAC, GLCF, EOS, TERRA, etc)

 

DICTIONARY OF ABBREVIATIONS

16

To TOP

Spatial Modeling & DSS (Decision-Support) IDRISI Tools - continued

KEY ONLINE RESOURCES

Lab Week 16:

 

17

To TOP

PERSONAL PROJECT WORK

PERSONAL PROJECT WORK

Lab Week 17:

 

 

18

To TOP

PERSONAL PROJECT WORK

PERSONAL PROJECT WORK

KEY ONLINE RESOURCES

Lab Week 18:

 

PERSONAL PROJECT WORK

19

To TOP

Spatial Modeling & DSS (Decision-Support) Tools:

-
NetWeaver and GeoNetweaver

-EMDS

-EcoSentinel

-InfoHarvest: Criterium Decision Plus

Penn State University (Heron Group) with Redlands Institute: Max McFadden, Bruce J. Miller and others...: Redlands Institute: Paul Burgess and llu/Seth Wiafe

Max W. McFadden, Ph.D.
Vice President
The Heron Group, LLC
302-856-3324 Voice
302-856-6985 Fax
mcfadden@dca.net
http://www.herongroupllc.com/

Lab Week 19:

 

DICTIONARY OF ABBREVIATIONS

20

To TOP

PERSONAL PROJECT WORK

PERSONAL PROJECT WORK

KEY ONLINE RESOURCES

Lab Week 20:

 

DICTIONARY OF ABBREVIATIONS

21

To TOP

  Final Project Presentations   Final Project Presentations

Back to TOP

Bob Ford
Home


Last Revised: October 30, 2007