20220808 14080700 1.0 FALSE de_lc_2018_WM file://\\DVT2CFIRSTMAP\D$\scratch\LandCover.gdb Local Area Network 002 -8473903.603240 -8306729.603240 4628256.758777 4847689.758777 1 Projected GCS_WGS_1984 Linear Unit: Meter (1.000000) WGS_1984_Web_Mercator_Auxiliary_Sphere <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.9.0'><WKT>PROJCS[&quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&quot;,GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Mercator_Auxiliary_Sphere&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,0.0],PARAMETER[&quot;Standard_Parallel_1&quot;,0.0],PARAMETER[&quot;Auxiliary_Sphere_Type&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>148923141.92838538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem> 8 FALSE LZW 1 TIFF TRUE discrete unsigned integer 255 ProjectRaster D:\scratch\LandCover\de_lc_2018_2022-Edition\de_lc_2018_2022-Edition.tif D:\scratch\LandCover.gdb\de_lc_2018_WM PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]] "Nearest neighbor" "1 1" WGS_1984_(ITRF00)_To_NAD_1983 # PROJCS["USA_Contiguous_Albers_Equal_Area_Conic_USGS_version",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-96.0],PARAMETER["Standard_Parallel_1",29.5],PARAMETER["Standard_Parallel_2",45.5],PARAMETER["Latitude_Of_Origin",23.0],UNIT["Meter",1.0]] NO_VERTICAL 20230526 16291500 20230526 17340800 150000000 5000 FGDC Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 14393) ; Esri ArcGIS 12.9.4.32739 DE_LandCover_2018 2023-02-28T00:00:00 external d13e65f100fbb5246f4e46aa74e384c0752f5806 FirstMap Delaware Department of Technology and Information (DTI) 801 Silver Lake Blvd. Dover DE 19904 FirstMap@delaware.gov US 302-739-9500 True FirstMap external f1334c2e7db7f3d9382d232060d2fef36bd6904b Chesapeake Bay Program https://doi.org/10.5066/P981GV1L True Chesapeake Bay Program 1 -76.122371 -74.620622 39.874280 38.344850 Time period of content 2013-01-01T00:00:00 2018-12-31T00:00:00 The database was produced to inform effects of land use and land cover change on the water quality in the Chesapeake Bay watershed by providing states, counties and local jurisdictions with detailed and consistent land use information to make data-driven and effective management decisions. The products were developed to be broadly used for informing both conservation and restoration efforts decisions such as habitat suitability assessments, riparian buffer implementation, agriculture and forest conservation, and tracking the conversion of forests and farmlands to other uses. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The Chesapeake Bay Land Use and Land Cover Database (LULC) facilitates characterization of the landscape and land change for and between discrete time periods. The database was developed by the University of Vermont’s 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. The database contains one-meter 13-class Land Cover (LC) and 54-class Land Use/Land Cover (LULC) for all counties within or adjacent to the Chesapeake Bay watershed for 2013/14 and 2017/18, depending on availability of National Agricultural Imagery Program (NAIP) imagery for each state. Additionally, 54 LULC classes are generalized into 18 LULC classes to simplify process of mapping LULC change, ease visualization and discussion of larger LULC trends. LC change between discrete time periods, detected by spectral changes in NAIP imagery and LiDAR, represents changes between the 12 land cover classes. LULC change uses LC change to identify where changes are happening and then LC is translated to LULC to represent transitions between the 54 LULC classes. The LULCC data is represented as a LULC class change transition matrix which provides users acres of change between multiple classes. It is organized by 18x18 and 54x54 LULC classes. The Chesapeake Bay Water (CBW) indicates raster tabulations were performed for only areas that fall inside the CBW boundary e.g., if user is interested in CBW portion of a county then they will use LULC Matrix CBW. Conversely, if they are interested change transitions across the entire county, they will use LULC Matrix. For the complete metadata, citation and data dictionary please visit: https://doi.org/10.5066/P981GV1L</SPAN></P></DIV></DIV></DIV> land cover Chesapeake Bay Delaware District of Columbia Maryland New York Pennsylvania Virginia West Virginia University of Vermont Spatial Analysis Laboratory, Chesapeake Conservancy, U.S. Geological Survey, U.S. Environmental Protection Agency Chesapeake Bay Program <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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 is provided on the condition that neither the USGS nor the U.S. Government, or any of the collaborating organizations 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. Possible errors or limitations of the data have been documented but the list is not exhaustive. 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.</SPAN></P></DIV></DIV></DIV> external be881efe3d6efe0d2b50c9050377ea6404030c23 Labeeb Ahmed U.S. Geological Survey, SOUTHEAST REGION Geographer Chesapeake Bay Program US EPA Chesapeake Bay Program Annapolis MD 21401 lahmed@usgs.gov US 410-267-5715 True Labeeb Ahmed external d13e65f100fbb5246f4e46aa74e384c0752f5806 FirstMap Delaware Department of Technology and Information (DTI) 801 Silver Lake Blvd. Dover DE 19904 FirstMap@delaware.gov US 302-739-9500 True FirstMap File Geodatabase Raster Dataset dataset EPSG 6.18.3(9.3.1.2) 2 1 0 1704045.000000 1901205.000000 1704045.000000 2055175.000000 1801840.000000 2055175.000000 1801840.000000 1901205.000000 1752942.500000 1978190.000000 97795 1.000000 153970 1.000000 VAT_de_lc_2018_WM Table 12 Delaware Land Cover Delaware Land Cover OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Value Value Integer 4 0 0 Raster values Raster values 1 254 Count Count Double 8 0 0 Pixel Count Pixel Count variable minimum and maximum values Acres Acres Double 8 0 0 Conversion from square meters to acres Conversion from square meters to acres Conversion from square meters to acres LandCover LandCover String 254 0 0 13 LC class names 13 LC class names Raster Value LC Classes 1 Water 2 Emergent Wetlands 3 Tree Canopy 4 Scrub\Shrub 5 Low Vegetation 6 Barren 7 Impervious Structures 8 Other Impervious 9 Impervious Roads 10 Tree Canopy Over Structures 11 Tree Canopy Over Other Impervious 12 Tree Canopy Over Impervious Roads Red Red Integer 4 0 0 Red RGB value for visualization Red RGB value for visualization 0 255 Green Green Integer 4 0 0 Green RGB value for visualization Green RGB value for visualization 0 255 Blue Blue Integer 4 0 0 Blue RGB value for visualization Blue RGB value for visualization 0 255 Band_1 12.000000 1.000000 8 bit Band 1 Raster dataset False False False False False 20230526 Pixel 219433 167174 1.000000 1.000000 8 1 Upper Left FALSE LZ77 1 pixel codes FGDBR TRUE row and column 1.000000 1.000000 external be881efe3d6efe0d2b50c9050377ea6404030c23 Labeeb Ahmed U.S. Geological Survey, SOUTHEAST REGION Geographer Chesapeake Bay Program US EPA Chesapeake Bay Program Annapolis MD 21401 lahmed@usgs.gov US 410-267-5715 True Labeeb Ahmed These are brief descriptions of the processing steps (listed in order of operations): (1) land cover (LC) 2013/14 (2) land cover (LC) 2017/2018 (3) land cover change (LCC) 2013/14 - 2017/2018 (4) land use/land cover (LULC) 2017/2018 (5) land use/land cover change (LULCC) 2013/14 - 2017/2018 (6) land use/land cover (LULC) 2013/14. Land Cover 2013/14 (2017 release) is the first iteration of high resolution land cover mapping in the Chesapeake Bay that was completed in 2017. Land Cover 2017/18: The 2017/18 land cover is derived from the land cover change 2013/14 to 2017/18, where each change class was reclassified to its 2017/18 class. See steps for land cover change 2013/14 to 2017/18 for more information. 2022-07-01T00:00:00 Evaluating accuracy of land use and land cover and its change classes is exceptionally challenging considering the spatial and categorical resolution of the data. However, various steps have been taken to ensure accuracy including consideration of the best available ancillary datasets corresponding to specific time intervals to inform mapping classifications and extensive visual inspections of the data by multiple team members to address issues such as large area or systematic misclassifications. Additionally, automated workflows were developed to track and capture certain erroneous classifications in the workflows. There is a separate and on-going effort to perform an accuracy assessment of the mapped land cover classes with an estimated delivery in 2023. The original data was processed at a county-scale and then a state mosaic was created for the data release. The values, classes and legends in the state-wide mosaics are consistent with those provided for the data for individual counties. Please refer to the overview and methods document for more details. Evaluating accuracy of land use and land cover and its change classes is exceptionally challenging considering the spatial and categorical resolution of the data. However, various steps have been taken to ensure accuracy including consideration of the best available ancillary datasets corresponding to specific time intervals to inform mapping classifications and extensive visual inspections of the data by multiple team members to address issues such as large area or systematic misclassifications. Additionally, automated workflows were developed to track and capture certain erroneous classifications in the workflows. There is a separate and on-going effort to perform an accuracy assessment of the mapped land cover classes with an estimated delivery in 2023. The original data was processed at a county-scale and then a state mosaic was created for the data release. The values, classes and legends in the state-wide mosaics are consistent with those provided for the data for individual counties. Please refer to the overview and methods document for more details. Dataset is considered complete for the information presented, as described in the abstract. Users are advised to read the entire metadata record carefully for additional details.