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Number of search results: 47

USDA Uses Remote Sensing and ENVI to Detect Food Contaminants

USDA Uses Remote Sensing and ENVI to Detect Food Contaminants

2/14/2007

Customer Challenge Food contaminants are a problem for both food distributors and consumers. Poultry can be particularly dangerous, as contaminants can cause serious health issues. The USDA needed a way, using remotely sensed imagery, to detect contaminated poultry before it ever leaves the production line. Solution Achieved When most... Read More >

Precision Farming with ENVI

Precision Farming with ENVI

9/26/2006

Customer Challenge Vintners in California needed an imaging solution to improve irrigation and nutrition management, make crop adjustments, and monitor disease and pest populations. Solution Achieved Susan Mahler and Paul Skinner of Terra Spase, located in Napa, California are using airborne remote sensing data, in combination with... Read More >

Columbia Uses IDL to Make Learning Climatology Possible for Anyone

Columbia Uses IDL to Make Learning Climatology Possible for Anyone

1/3/2006

Customer Challenge Columbia University needed to make a Global Climate Model teaching aid for high schools, universities, and anyone else interested in learning about meteorology and climatology. Solution Achieved Columbia University, in cooperation with NASA, developed a free Global Climate Model using IDL®, which is now available... Read More >

IDL Helps Scientists Understand the Solar System’s Formation

IDL Helps Scientists Understand the Solar System’s Formation

1/3/2006

Customer Challenge NASA planned an historic mission to impact a comet in outer space. Lead mission engineers needed sophisticated space vehicles, onboard imaging instruments, and a solution for calibrating the instruments and visualizing and analyzing huge amounts of data. Solution Achieved Ball Aerospace built a space system for NASA... Read More >

French Space Agency Uses ENVI to Study Ecosystem Evolution

French Space Agency Uses ENVI to Study Ecosystem Evolution

1/3/2006

Customer Challenge The French Space Agency, CNES (Centre National des Études Spatiales), launched their VEGETATION project ten years ago. They needed a way to process and analyze data on a daily basis to represent the time-sequenced evolution of ecosystems, natural and cultivated vegetation, and even water and icebergs on earth. Solution... Read More >

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