Satellite imagery from space agencies sought in search for missing Belle Isle woman

ORLANDO, Fla. – The family of a missing Belle Isle woman made a plea Tuesday for space agencies to provide satellite imagery as the search continues for Stephanie Hollingsworth.

There’s a $10,000 reward for information leading to Hollingsworth, who was last seen Sept. 25 at a Walmart shopping center at 5991 S. Goldenrod Road in Orlando.

Hollingsworth’s husband, Scott, and other family members held a news conference, along with Bill Moore, a retired Orlando police detective, who shared details about emerging technologies they want to use to help find Stephanie Hollingsworth’s 2000 Chevrolet Tahoe.

Moore said they’re seeking help from NASA, SpaceX, L3Harris Technologies, Microsoft, Amazon and Geospatial Enthusiasts.

“We can get lucky to have a satellite passing overhead to capture her either walking to the car or the car leaving that parking space,” Moore said. “The family requests the assistance of any corporation or individual to search stored satellite

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Infrared NASA imagery finds Chan-hom organizing, consolidating

Infrared NASA imagery finds Chan-hom organizing, consolidating
On Oct. 6 at 0353 UTC (Oct. 5 at 11:53 p.m. EDT) NASA’s Aqua satellite analyzed Tropical Storm Chan-hom using the Atmospheric Infrared Sounder or AIRS instrument. AIRS found coldest cloud top temperatures as cold as or colder than (purple) minus 63 degrees Fahrenheit (minus 53 degrees Celsius) around the consolidating center. Credit: NASA JPL/Heidar Thrastarson

NASA’s Aqua satellite analyzed the large Tropical Storm Chan-hom as it tracked through the Northwestern Pacific Ocean. Aqua imagery showed the storm was consolidating, indicating a strengthening trend.


One of the ways NASA researches tropical cyclones is using infrared data that provides temperature information. The AIRS instrument aboard NASA’s Aqua satellite captured a look at those temperatures in Chan-hom and gave insight into the size of the storm and its rainfall potential.

Cloud top temperatures provide information to forecasters about where the strongest storms are located within a tropical cyclone. The stronger the storms,

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