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This land use raster dataset is intended to facilitate analysis of the landscape in the Chesapeake Bay Watershed through identification of specific areas of land use for a discrete time period. The dataset was developed by the University of Vermont Spatial Analysis Laboratory in cooperation with Chesapeake Conservancy (CC) and U.S. Geological Survey (USGS) as part of a 6-year Cooperative Agreement between Chesapeake Conservancy and the U.S. Environmental Protection Agency (EPA) and a separate Interagency Agreement between the USGS and EPA to provide geospatial support to the Chesapeake Bay Program Office. |
summary:
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This land use raster dataset is intended to facilitate analysis of the landscape in the Chesapeake Bay Watershed through identification of specific areas of land use for a discrete time period. The dataset was developed by the University of Vermont Spatial Analysis Laboratory in cooperation with Chesapeake Conservancy (CC) and U.S. Geological Survey (USGS) as part of a 6-year Cooperative Agreement between Chesapeake Conservancy and the U.S. Environmental Protection Agency (EPA) and a separate Interagency Agreement between the USGS and EPA to provide geospatial support to the Chesapeake Bay Program Office. |
accessInformation:
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Chesapeake Conservancy, U.S. Geological Survey, U.S. Environmental Protection Agency Chesapeake Bay Program |
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maxScale:
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121837.062132772 |
typeKeywords:
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["Data","Service","Image Service","ArcGIS Server"] |
description:
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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: https://docs.google.com/spreadsheets/d/1e0Uy7DVUe_bXY4jJ1TUPUFvwNs9QbyHrSRY8JQs5GxE/edit?usp=sharing For detailed discussion of methods and ancillary data used in the process, please see: https://www.chesapeakeconservancy.org/conservation-innovation-center/high-resolution-data/lulc-data-project-2022/ |
licenseInfo:
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The organizations responsible for generating and funding this dataset make no representations of any kind including, but not limited to the warranties of merchantability or fitness for a particular use, nor are any such warranties to be implied with respect to the data. The data have not received final approval by the U.S. Geological Survey (USGS) and are provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the data. Although every effort has been made to ensure the accuracy of information, errors may be reflected in data supplied. The user must be aware of data conditions and bear responsibility for the appropriate use of the information with respect to possible errors, original map scale, collection methodology, currency of data, and other conditions. Credit should always be given to the data source when this data is transferred, altered, or used for analysis. |
catalogPath:
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title:
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bay_lu_tif |
type:
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Image Service |
url:
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https://cicgis.org/arcgis |
tags:
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["land use","LULC","Chesapeake Bay","Delaware","District of Columbia","Maryland","New York","Pennsylvania","Virginia","West Virginia"] |
culture:
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en-US |
name:
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bay_lu_tif |
guid:
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minScale:
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3898785.98824871 |
spatialReference:
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USA_Contiguous_Albers_Equal_Area_Conic_USGS_version |