San Tan Freeway Development Chandler AZ
October 20, 2003

Contest category: Image Maps

Application areas: Real Estate

Description: Census data is frequently used in real estate mapping to visually define population densities. However, new growth critical to developers can be difficult to forecast using only Census data. Current aerial photography clearly shows new housing and freshly graded new home subdivisions (outlined in red) missing from the population map. The future San Tan freeway running through eastern metro Phoenix will generate heightened growth in the area. Retailers, commercial and residential developers using aerial photography can assess growth trends and the value of potential sites.

Geographic location:  Chandler, Arizona

Image resolution:  2 foot

Source of imagery:  Aerials Express, LLC

Commercial image processing software used:  MapInfo 7.5

Image processing technique employed:  MapInfo’s translucency feature.

— Bill Landis (mappers@yahoo.com), CB Richard Ellis, USA

Christ
October 20, 2003

Contest category: Unique Geomorphologic Images

Description: An aerial photograph taken by The GeoInformation Group at 25 cm resolution of Crystal Palace football stadium, England, was viewed by a journalist of a major national English newspaper. The journalist discovered with interest that the photograph portrayed what looked like the image of Christ within the football pitch. This was subsequently reported on and printed within the newspaper under the heading "Face on pitch just like the Turin Shroud"

Geographic location:  Crystal Palace Football Ground, South London, England

Image resolution:  25cm

Source of imagery:  Aircraft

Image processing technique employed:  georectification

— Nikki Jones (nikkij@crworld.co.uk), The GeoInformation Group, UK

Vegetation Health Analysis of Pineapple Fields, Hawaii
October 19, 2003

Contest category: Thematic Imagery

Application areas: Agriculture, Remote Sensing & Image Processing, Satellite Image Data

Description: The pineapple fields in Hawaii can be harvested all year round. It is possible to tell when a field is ready to be harvested by the dark green color of the foliage. This QuickBird image shows two pineapple fields at different stages of the harvest cycle, processed using ENVI image analysis software. Red indicates a harvest-ready field, and blue indicates a newly harvested field. First the multispectral image was sharpened using the panchromatic image, using ENVI's new Gram-Schmidt Spectral Sharpening. Then the sharpened image was classified using the Spectral Angle Mapper, followed by clumping of the classes.



This image is in honor of the 30th International Symposium on Remote Sensing of the Environment which will be held in Honolulu, Hawaii this November.

Geographic location:  Center of image location: Latitude 21.5489, Longitude -158.07

Image resolution:  60 cm (1 m multispectral sharpened using a 60 cm panchromatic image)

Source of imagery:  DigitalGlobe Quickbird Panchromatic and Multispectral imagery of Oahu Hawaii. Image taken on October 30th, 2002 with 1% cloud cover and 6 degrees off nadir. Image Catalogue ID 101001000162A80…

Commercial image processing software used:  ENVI 4.0 - Remote Sensing and Image Processing Software

Image processing technique employed:  Gram-Schmidt Pan Sharpening, followed by Spectral Angle Mapper, then clumping of the SAM results.

— Peg Shippert (shippert@rsinc.com), Research Systems, USA

Eruption of Mt. Cleveland Volcano: Aleutian Islands, Alaska
October 19, 2003

Contest category: Thematic Imagery

Application areas: Environmental, Remote Sensing & Image Processing, Satellite Image Data

Description: The eruption of Mt. Cleveland occurred at 0600 AST on February 19, 2001 and produced a plume of ash to 35,000 feet, disrupting air traffic across the North Pacific. This MODIS scene acquired over the central Aleutian Islands, Alaska, on February 20, 2001, captures the ash plume still billowing north from Mt. Cleveland. The image was created by displaying the Gram-Schmidt sharpened Reflectance band 26, Reflectance Band 17, and
Reflectance Band 19. All processing was done in
ENVI.

Geographic location:  Mt. Cleveland Volcano: Aleutian Islands, Alaska

Image resolution:  MODIS - 500 meter

Source of imagery:  The MODIS scene is courtesy of the International Observatory of the North (ION) at the U of Alaska Fairbanks. The DEM is courtesy of the USGS EROS Alaska Field Office, Anchorage, AK

Commercial image processing software used:  ENVI 4.0 - Remote Sensing and Image Processing Software

Image processing technique employed:  The image was created by displaying the Gram-Schmidt sharpened Reflectance band 26, Reflectance Band 17, and Reflectance Band 19.

— Molly Bantz (molly@rsinc.com), Research Systems, USA

3-D anagraph image of the Bendeleben Mountains, Alaska
October 19, 2003

Contest category: Image Maps

Application areas: Remote Sensing & Image Processing, Natural Resources, Satellite Image Data

Description: This is a Landsat 5 Thematic Mapper image acquired over the Seward Peninsula, Alaska, on 29 June 1986. Visible in the foreground are the Bendeleben Mountains; in the background is Imuruk Lake and extensive lava flows to the west. The image was created using the ENVI image analysis software. The 3-D anagraph image (which can be viewed with 3D glasses) was created by draping Band 4 (NIR) over a DEM, then running an ENVI User Function written by Adam O'Connor

Geographic location:  Bendeleben Mountains: Seward Peninsula, Alaska

Image resolution:  Landsat 5 - 75 meter, USGS DEM - 300 meter

Source of imagery:  Landsat Image provided by the University of Alaska Fairbanks and the NASA Land Cover Land Use Change Program. The DEM is courtesy U.S. Geological Survey EROS Alaska Field Office, Anchorage, AK.

Commercial image processing software used:  ENVI 4.0 Remote Sensing and Image Processing Software

Image processing technique employed:  A user written function for ENVI - anaglyph.pro – downloadable free at www.rsinc.com/codebank This created the 3-D image by draping Band 4 (NIR) over a DEM and then running the downloadable code.

— Molly Bantz (molly@rsinc.com), Research Systems, USA