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This land cover change dataset is intended to facilitate analysis of landscape change in the Chesapeake Bay Watershed through identification of specific areas of land cover conversion during the analysis 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 cover change dataset is intended to facilitate analysis of landscape change in the Chesapeake Bay Watershed through identification of specific areas of land cover conversion during the analysis 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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University of Vermont Spatial Analysis Laboratory, Chesapeake Conservancy, U.S. Geological Survey, U.S. Environmental Protection Agency Chesapeake Bay Program |
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5000 |
| typeKeywords:
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["Data","Service","Image Service","ArcGIS Server"] |
| description:
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This dataset includes 79 land cover change classes and covers 206 counties intersecting and adjacent to the Chesapeake Bay Watershed. It was derived from available LiDAR imagery and aerial multi-spectral imagery produced by the National Agriculture Imagery Program (NAIP) for the years 2013/14 and 2017/18. The classification was designed to be consistent with existing 2013/14 land cover data. Using object-based image analysis software and mapping techniques, the original 2013/14 dataset was first refined, where necessary, using LiDAR and NAIP imagery, regional building polygons, and local planimetric data representing roads and buildings. To create the 2017/18 land cover dataset, changes in image objects were assessed from 2013/14 to 2017/18 based primarily on multi-date LiDAR imagery, if available, followed by multi-date NAIP imagery (available for all counties). Similar rules and logic used to classify the 2013/14 land cover data were applied to the change objects to produce a comparable land cover dataset for 2017/18. Draft output was manually reviewed and edited to eliminate obvious errors of omission and commission, focusing on the most important types of landscape change: 1) tree canopy loss; and 2) impervious surfaces gain. The final dataset contains 79 change classes plus the original 12 classes for features that had not changed. The specific analysis periods for each major Bay jurisdiction are: Delaware, 2013-2018; District of Columbia, 2013-2017; Maryland, 2013-2017/2018; New York, 2013-2017; Pennsylvania, 2013-2017; Virginia, 2014-2018; and West Virginia, 2014-2018. For detailed methods and documentation, 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. |
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| title:
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Chesapeake Bay Land Cover Change 13/14 to 17/18 |
| type:
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Image Service |
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| tags:
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["land cover","land cover change","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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chesapeakebay_landcoverchange_20132014_20172018_v2_tif |
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| minScale:
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150000000 |
| spatialReference:
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USA_Contiguous_Albers_Equal_Area_Conic_USGS_version |