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This is Eidetic's Geo/SAT 2 page.

Eidetic's home page or Geo/SAT 2 order form

Geo/SAT 2 is an integrated remote sensing digital instructional package consisting of three components: software (EarthScenes™), lesson modules with applications, and data. These form a complete teaching package for gis remote sensing for high school and introductory college or university level courses. The package can also be used by individuals who would like to learn about remote sensing and its applications for their work.

The lesson modules with real-world applications were developed by Prof. Paul Baumann, Chair of the Remote Sensing Task Force of the National Council for Geographic Education (NCGE). There are six modules titled:

• Environmental Warfare: Persian Gulf
• Shrinking Bay: San Francisco Bay Area
• Map Making: Indiana
• Urban Heat Island: Washington, DC
• Bighorn Sheep: Coachella Valley, Calif.
• Dry Monsoon: Deccan Plateau, India
• Big Melt Down: Columbia Ice Field, Canada
• Dry Land Water: San Luis Valley, Colorado

The price is very reasonable: $95 (US$) plus $4 shipping for a site license. This covers all the computers in a school or college department.

Geo/SAT stands for Geography for Student Applications and Training.

For additional information on the individual components or for an order form please click on the following:

• A. Geo/SAT 2 software (EarthScenes™) description
• B. Geo/SAT 2 lesson modules with applications description
• C. Geo/SAT 2 data description
• D. Geo/SAT 2 order form
• E. Supplementary and contact information

You can also view the lesson modules at the following web site: http://www.oneonta.edu/faculty/baumanpr/geosat2/geosat2.htm

A. Geo/SAT 2 software (EarthScenes™) description

The software (EarthScenes™) is a digital image analysis system for remotely sensed data which provides users with an opportunity to process LANDSAT and other satellite data on their desktop computers.

A.1 Software features:

• display images in monochrome, pseudo-color, false-color, and true color
• handle images up to 8000 by 8000 pixels
• create color composite images by combining pictures formed in different regions of the spectrum
• create and plot the histogram of a picture
• enhance a picture by contrast stretch
• enhance a picture through arithmetic operations on the picture
• classify a picture with arithmetic operations
• classify a picture by density slicing
• experiment with demonstration lessons that are included
• create bmp images for export
• on-line help system

A.2 Help system contents:

1. Message to the Student
2. Introduction
3. Lessons
   1. The qualitative comparison of different spectral bands.
   2. The quantitative comparison of different spectral bands.
   3. The concept of pseudo-color.
   4. The concept of color composite.
   5. The histogram of a picture.
   6. Picture enhancement by increasing the picturre contrast.
   7. Picture enhancement by pixel multiplication.
   8. Picture classification by density slicing.
4. The Software Program
   1. File and bookkeeping functions.
   2. Video display functions.
   3. Look-up table functions
   4. Image display functions
   5. Data import/export functions
   6. Image enhancement functions
   7. Classification

A. 3 Computer specifications:

Pentium with a minimum of 16 megabytes of memory; mouse; 24-bit VGA display adapter operating in 640 by 480 or 800 by 600 or 1024 by 768 or 1600 by 1200 mode; VGA color monitor; hard disk (10 megabytes is enough although more is desirable); CD drive; Windows 95 or later.

B. Lesson modules with applications description

All the lesson modules with real-world applications were developed by Prof. Paul Baumann, Chair of the Remote Sensing Task Force of the National Council for Geographic Education (NCGE). At present there are six modules described below.

You can also view the lesson modules at the following web site: http://www.oneonta.edu/faculty/baumanpr/geosat2/geosat2.htm

B.1 Environmental Warfare: Persian Gulf

The purpose of this lesson module is to present a methodology to determine the size of an oil spill. This methodology employs the use of a Landsat TM data set, which covers a study area of 512 by 512 pixels. The data set depicts conditions present on March 4, 1991 at Dawhat Ad Daffi, near the city of Al Jubail on the Saudi coastline.

Step-by-step instructions are provided showing how to use the software to map the oil spill.

The module is provided in Word, HTML, and PowerPoint formats complete with all graphics and images showing the results of the various software operations.

B.2 Shrinking Bay: San Francisco Bay Area

The goal of this lesson module is to develop a methodology using satellite imagery to identify those water areas within the Bay facing the immediate danger of disapppearing and determine the amount of area in immediate danger. This methodology employs a Landsat 7 ETM+ data set (taken July 7, 1999), which covers a study area of 1501 rows by 1501 elements in size. The data set not only includes the San Francisco Bay but also the urban development around it.

Step-by-step instructions are provided showing how to use the software to map susceptible areas.

The module is provided in Word, HTML, and PowerPoint formats complete with all graphics and images showing the results of the various software operations.

B.3 Map Making: Indiana

The goal of this lesson is to present a methodology for updating the location and size of certain water bodies within a particular area of a USGS 7.5 minute topographic map. This methodology employs a Landsat TM(Thematic Mapper) data set, which covers a study area of 96.3 square miles or 249.5 square kilometers. The data set depicts conditions present on May 29, 1994, over the Kossuth, Indiana USGS topographic shee. The USGS 7.5 Minute Topographci Quadrangle (Map) for Kossuth was originally produced in 1963, photo revised in 1980, and updated with minor revision in 1994.

Step-by-step instructions are provided showing how to use the software to update maps with satellite imagery.

The module is provided in Word, HTML, and PowerPoint formats complete with all graphics and images showing the results of the various software operations.

B.4 Urban Heat Island: Washington, DC

The goal of this lesson module is to develop a methodology to identify the amount of heat being emitted by various urban surfaces. This methodology employs a Landsat TM data set, which covers a study area of 10924 by 1024 pixels in size. This data set depicts summer (August 8, 1990) conditions in Washington, D.C., an urban place with over 3 million people.

Step-by-step instructions are provided showing how to use the software to identify hot and cool areas in the city.

The module is provided in Word, HTML, and PowerPoint formats complete with all graphics and images showing the results of the various software operations.

B.5 Bighorn Sheep: Coachella Valley, California

The goal of this lesson module is to develop a methodology using satellite imagery and topographic data to identify the potential sites of the Peninsular Bighorn's new, urban habitat. The methodology employs a Landsat 7 ETM+ data set (taken July 27, 1999) and a United States Geological Survey digital elevation model (DEM) data set.

Step-by-step instructions are provided showing how to use the software to identify potential urban habitats for the Peninsular bighorn Sheep in the Coachella Valley. These instructions include step-by-step instructions on computing the Normalized Difference Vegetation Index (NDVI).

The module is provided in Word, HTML, and PowerPoint formats complete with all graphics and images showing the results of the various software operations.

B.6 Dry Monsoon: Deccan Plateau, India

This instructional module examines the climatic and water issues of the Deccan Plateau. More specifically, it uses a satellite multi-spectral data set to measure the water conditions of the Tungabhadra Reservoir, one of the principal reservoirs on the plateau. The data set was acquired on February 9, 1993, by the Linear Self Scanning Sensor (LISS-I) aboard India's IRS-1B satellite.

Step-by-step instructions are provided showing how to use the software to synoptically explore the reservoir and surrounding region and to measure the surface area of this reservoir during the dry season.

The module is provided in Word, HTML, and PowerPoint formats complete with all graphics and images showing the results of the various software operations.

B.7 Big Melt Down: Columbia Ice Field, Canada

This module studies the recession of a glacier due to melting over the course of several years. Again, data are provided and step-by-step software instructions are provided to obtain the results described in the lesson module. The module is provided in the same formats as the other modules.

B.8 Dry Land Water: San Luis Valley, Colorado

This module examines the issue of water in a dry area. As for the other modules, data and step-by-step software instructions are provided to obtain the results described in the lesson module. The module is provided in the same formats as the other modules.

You can also view the lesson modules at the following web site: http://www.oneonta.edu/faculty/baumanpr/geosat2/geosat2.htm

C. Geo/SAT 2 data description

C.1 Persian Gulf

• bands 1 to 7 of Landsat 5 Thematic Mapper image data
• 512 rows by 512 pixels in a row
• image acquired on March 4, 1991

C.2 San Francisco Bay Area

• bands 1 to 5 and 7 of Landsat 7 Thematic Mapper image data
• panchromatic band 8 rescaled to the same resolution as the other bands
• 1501 rows by 1501 pixels in a row
• image acquired on July 7, 1999

C.3 Indiana

• bands 1 to 7 of Landsat 5 Thematic Mapper image data
• bands 1 to 4 of Indian Remote Sensing satellite image data
• 480 rows with 640 pixels in a row
• both images acquired on May 29, 1994

C.4 Washington, DC

• bands 1 to 7 of Landsat 5 Thematic Mapper image data
• 1024 rows with 1024 pixels in a row
• image acquired August 8, 1990

C.5 Coachella Valley, California

• bands 1 to 5 and 7 of Landsat 7 ETM+ image data
• 719 rows with 772 pixels in a row
• image acquired July 27, 1999
• corresponding elevation, slope, and aspect data

C.6 Deccan Plateau, India

• bands 1 to 4 of IRS-1B, LISS-I image data
• 2500 rows with 2350 pixels in a row
• image acquired February 9, 1993

C.7 Columbia Ice Field, Canada

• bands 1 to 4 of Landsat 2 MSS
• 1010 lines with 1500 pixels in a row
• image acquired October 1, 1975
• bands 1 to 5 and 7 of Landsat 5 TM
• 1010 lines with 1500 pixels in a row
• image acquired September 2, 1988
• bands 1 to 5 and 7 of Landsat 7 ETM+
• 1010 lines with 1500 pixels in a row
• image acquired August 24, 1999
• bands 1 to 5 and 7 of Landsat 7 ETM+
• 1010 lines with 1500 pixels in a row
• image acquired September 14, 2001

C.8 San Luis Valley, Colorado

• bands 1 to 5 and 7 of Landsat 7 ETM+
• 1590 lines with 1690 pixels in a row
• image acquired August 26, 2002

C.7 Additional 24 ready-to-use image data sets provided on the CD for your further exploration:

1. Amsterdam, Holland
2. Bern, Switzerland
3. Black Hills, South Dakota
4. Calgary, Alberta
5. Candlewood Lake, Connecticut, spring
6. Candlewood Lake, Connecticut, fall
7. Grand Canyon
8. Lake Wappapello, Missouri
9. Lake Worth, Florida
10. Lanham, Maryland
11. Little Colorado River
12. London, England
13. Mississippi River
14. Montana (N45d57m30s, W108d32m30s)
15. Morro Bay, California
16. Moscow, Russia, summer
17. Moscow, Russia, winter
18. New York City, New York
19. Paris, France
20. Port Moller, Alaska
21. Rio de Janeiro, Brazil
22. Rome, Italy
23. San Joaquin Valley, California
24. Vera Cruz region, Mexico

D. Geo/SAT 2 order form

E. Supplementary and contact information:

The purchase price of $95 plus $4 shipping is for a school or College Department site license for the software, data, and lesson modules with applications. This allows you to run the package on as many computers as you have in your School or College Department. All components are on a CD.

The original Geo/SAT project (Geo/SAT 1) and its components are reviewed starting at page 1217 in the October, 1995, issue of the journal "Photogrammetric Engineering and Remote Sensing" published by the American Society for Photogrammetric Engineering and Remote Sensing. The software component, PEDAGeOG™, is referenced again in a review of EARTHSCOPE™ at page 881 in the September, 1998, issue of the same journal.

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