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This gives us a more accurate look at what is really on the landscape and the challenges facing it-how fragmented is a forest, how connected are the streamside buffers? This new classification is 1-meter resolution providing much more detail and information about the landscape than the conventional 30-meter resolution land cover data. For example, where we once saw only development, we now can see buildings, street and trees, and where once we saw all forest, we now can pick out roads or houses within the trees. The dataset was created for the Chesapeake Bay Program (CBP)-a regional partnership of EPA, other federal, state, and local agencies and governments, nonprofits, and academic institutions that leads and directs Bay restoration efforts-which was looking to improve its data related to the Chesapeake Bay watershed landscape.įor 10 months, analysts worked to produce one-meter resolution land cover data for approximately 100,000 square miles of land in and surrounding the Chesapeake Bay watershed. In partnership with the University of Vermont and WorldView Solutions, Inc., the Conservancy’s Conservation Innovation Center completed the Chesapeake Bay High-Resolution Land Cover Project, one of the nation’s largest, high-resolution land cover datasets, in 2016. These categorize natural and human-made features that exist on the landscape, such as buildings, tree canopy, and water. Chesapeake Conservancy is pioneering the production of large, high resolution land cover classification datasets.