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NASA Satellites Aid in Chesapeake Bay Recovery


A NASA News Release from April, 2008 - Andrew Freeberg, NASA Goddard Space Flight Center


From the distant reaches of the universe, to black holes and Saturn’s rings, NASA explores some of the most far-out parts of space. But NASA also does research much closer to home. In fact, NASA Earth Science satellites are taking part in the management and recovery of an ecosystem right in our own backyard, the Chesapeake Bay.

By studying the landscape around the Chesapeake, NASA spacecraft such as Landsat, Terra and Aqua are helping land managers figure out how to battle the harmful pollutants that have added to the destruction of the bay's once legendary productivity. While still a commercially important ecosystem -- home to some 3,600 species -- four centuries of local population growth have crippled the bay’s health, earning it a place on the U.S. Environmental Protection Agency’s “dirty waters” list and a 2007 overall grade of C-minus by the University of Maryland Center for Environmental Science.

Many of these harmful pollutants come from the Chesapeake Bay’s watershed, an area of about 64,000 square miles that covers parts of six states. Water from this massive region constantly drains into the bay, carrying with it sediments from erosion, excessive nutrients and other contaminants that hurt the bay’s water quality. This runoff also feeds large algae blooms that consume oxygen in the water; oxygen that crabs, fish and other bay species rely on.

Runoff carries more pollutants when it travels over paved surfaces and cropland, versus marshland or forest. Land cover information from satellite imagers like Landsat and the Moderate Resolution Imaging Spectroradiometer (MODIS) help Bay managers identify the best places to curb non-point source pollution.

“The impervious, tree cover and land cover type map products derived from Landsat data are used on a daily basis by the Chesapeake Bay Program,” says Scott Goetz, a NASA-funded scientist at Woods Hole Research Center, whose team used Landsat data to create a series of Chesapeake watershed maps.

The Chesapeake Bay Program is a unique regional partnership that leads and directs the restoration of the bay. They often use Landsat data to help build models that predict the location of nutrient loads and identify areas where managers should take action towards conservation, restoration and growth.

In addition, NASA sensors SeaWiFS and MODIS detect water color, and are used to calculate sediment and chlorophyll concentrations. The National Oceanic and Atmospheric Administration’s CoastWatch program provides this type of oceanographic data in near real-time to federal, state and local marine scientists, coastal resource managers and the general public.

Other organizations, such as the Virginia Department of Conservation and Recreation and the Maryland Department of Natural Resources, also use NASA-derived information to prioritize land conservation efforts. The states have now set nutrient and sediment reduction targets for each of the Chesapeake watershed sub-regions thanks to a Landsat-enabled assessment of relative pollution contributions.

In all these ways, NASA satellites are helping Chesapeake Bay managers reduce harmful pollutants. If the bay is ever to recover enough to be taken off of the "dirty waters" list, NASA data will be essential for deciding how to best care for our troubled neighbor.

Article by Andrew Freeberg, NASA Goddard Space Flight Center.


Chesapeake Bay in Winter
Dawn breaking over the Chesapeake Bay in winter. The indigo sky is reflected in icy water. © iStockphoto / Ya Mon Images

Satellite Image of Chesapeake Bay
The Chesapeake Bay Landsat-7 Mosaic is a composite of eight Landsat-7 scenes acquired during the period of 1999-2002, where each pixel represents about 15 square meters on the ground. The original dataset was a false-color Landsat-7 (ETM+) image using bands 7,4,2 and the panchromatic band (8). Color correction has been applied to resemble natural looking colors. Image: NASA/Goddard Space Flight Center Scientific Visualization Studio
 

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