Earth Imaging Journal: Remote Sensing, Satellite Images, Satellite Imagery
Breaking News
The 2018 Commercial UAV Expo, Incorporating Drone World Expo, to be Held in October in Las Vegas
LAS VEGAS, NV - Following the acquisition of Drone...
Martin Instrument and Western Data Systems (WDS) Announce Merger to Create AllTerra Central
AUSTIN, Texas - Martin Instrument and Western Data Systems...
Drone Delivery Canada to Expand Testing Program to The United States of America
TORONTO - Drone Delivery Canada 'DDC or the Company'...
Alteryx Announces Premier Partners: Deliverers of Excellence in Data Science and Analytics
IRVINE, Calif.- Alteryx, Inc. (NYSE: AYX), revolutionizing business through data...
thinkWhere Takes a Global View with theMapCloud Platform
Scottish Geographic Information Systems (GIS) company thinkWhere is setting...

ohioriver_amo_2015076

This image, captured with the MODIS instrument aboard NASA’s Aqua satellite, shows Ohio River flooding on March 17. 2015. A second image, acquired by NASA’s Terra satellite on March 20, 2014, shows a more typical spring.

ohioriver_tmo_2014079 NASA satellite imagery shows that for much of March 2015, the Ohio River watershed was above flood stage, particularly just above the confluence with the Mississippi River. The cause was a combination of melting snow and heavy rainfall.

Nearly five inches of rain fell in Cincinnati in the first two weeks of March, and the Ohio River reached its highest level (57.5 feet) since 1997. Downstream about 8 inches of rain fell in Paducah, Ky., mixing with melting snow to raise the Ohio River to 45.5 feet on March 17. The rising rivers were backed up by ice jams in some areas, flooding roads and low-lying communities.

The Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA’s Aqua satellite acquired the top image of flooding around the region on March 17, 2015. The second image, acquired by NASA’s Terra satellite on March 20, 2014, shows the same area during a more typical spring.

Read the full story here.

Comments are closed.