Chesapeake Bay Land Use 17/18
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<span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>This 54-class land use/land cover data was created by translating land cover into land use using a combination of ancillary data, spatial rules, and regionally-specific parameters. Vector image segments derived from National Agriculture Imagery Program (NAIP) imagery with object-oriented classification software and attributed with land cover classes was intersected with county tax parcel data, creating the base input for field and feature delineation. Additional ancillary data used in the analysis include: landfills, active and abandoned mines, roads, railroads, County land use, NASS Cropland Data Layer, USGS National LAnd Cover Dataset, AI-derived solar fields, timber harvest permits, USFWS National Wetland Inventory, and other data. The classification rules and process was implemented iteratively to allow for review, refinement, and quality assurance by local stakeholders and regional experts. For more information on input data please see: </span><a href='https://docs.google.com/spreadsheets/d/1e0Uy7DVUe_bXY4jJ1TUPUFvwNs9QbyHrSRY8JQs5GxE/edit?usp=sharing' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;' target='_blank' rel='nofollow ugc noopener noreferrer'>https://docs.google.com/spreadsheets/d/1e0Uy7DVUe_bXY4jJ1TUPUFvwNs9QbyHrSRY8JQs5GxE/edit?usp=sharing</a><span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'> </span><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>For detailed discussion of methods and ancillary data used in the process, please see: <a href='https://www.chesapeakeconservancy.org/conservation-innovation-center/high-resolution-data/lulc-data-project-2022/' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' target='_blank' rel='nofollow ugc noopener noreferrer'>https://www.chesapeakeconservancy.org/conservation-innovation-center/high-resolution-data/lulc-data-project-2022/</a></div>
