Abstract: This 1-meter resolution raster dataset was developed as part of the Land Cover
Project, a cooperative agreement between the Chesapeake Conservancy and the National Park
Service funded through an interagency agreement with the Environmental Protection Agency.
High Resolution mapping was used to develop consistent and extremely accurate 12-class land
cover dataset for all the counties that comprise the Chesapeake Bay watershed.
Purpose: This dataset will enhance the ability to guide the most efficient use of resources in
the Bay as well as aid the identification of priorities for conservation and
Browse_Graphic_File_Description: preview of the dataset
Data_Set_Credit: Dataset created and developed by the Conservation Innovation Center at the Chesapeake
Conservancy. The creation of this dataset was made possible as a result of a cooperative
agreement between the Chesapeake Conservancy and the National Park Service being funded
through an interagency agreement with the Environmental Protection Agency.
Native_Data_Set_Environment: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS
Sequential unique whole numbers that are automatically generated.
Land Cover Class Code Value.
NoData: Background Value
Water: All areas of open water. This includes ponds, rivers, lakes and boats not
attached to docks. MMU = 25 square meters.
Wetlands: Low vegetation areas located along marine or estuarine regions that
are visually confirmed to have the look of saturated ground surrounding the vegetation
and that are located along major waterways (i.e. rivers, ocean). MMU = 225 square
Tree Canopy: Deciduous and evergreen woody vegetation of either natural
succession or human planting that is over approximately 3-5 meters in height.
Stand-alone individuals, discrete clumps, and interlocking individuals are included.
MMU = 9 square meters
Shrub Scrub: Heterogeneous area of both/either deciduous and/or evergreen woody
vegetation. Characterized by variation in height of vegetation through patchy coverage
of shrubs and young trees interspersed with grasses and other lower vegetation.
Discrete clumps and small patches of interlocking individuals are included, as are
true shrubs, young trees, and trees or shrubs that are small or stunted because of
environmental conditions, when intermingled in a heterogeneous landscape with low
vegetation. MMU = 225 square meters
Low Vegetation: Plant material less than approximately 2 meters in height.
Includes lawns, tilled fields, nursery plantings with or without tarp cover and
natural ground cover. MMU = 9 square meters
Barren: Areas void of vegetation consisting of natural earthen material
regardless of how it has been cleared. This includes beaches, mud flats, and bare
ground in construction sites. MMU = 25 square meters
Structures: Human-constructed objects made of impervious materials that are
greater than approximately 2 meters in height. Houses, malls, and electrical towers
are examples of structures. MMU = 9 square meters
Impervious Surfaces: Human-constructed surfaces through which water cannot
penetrate, and that are below approximately 2 meters in height. MMU = 9 square
Impervious Roads: Impervious surfaces that are used and maintained for
transportation. MMU = 9 square meters
Tree Canopy over Structures: Forest or Tree Cover that overlaps with impervious
surfaces rendering the structures partially or completely not visible to plain sight.
MMU = 9 square meters
Tree Canopy over Impervious Surfaces: Forest or Tree Cover that overlaps with
impervious surfaces rendering the impervious surface partially or completely not
visible to plain sight. MMU = 9 square meters
Tree Canopy over Roads: Forest or Tree Cover that overlaps with impervious
surfaces rendering the roads partially or completely not visible to plain sight. MMU =
9 square metersMinimum Mapping Unit (MMU) in this instance is the minimum size,
dimensions or threshold for features to be mapped or classified within a specific
A nominal integer value that designates the number of pixels that have each value
in the file; histogram column in ERDAS Imagine raster attributes table
Distribution_Liability: Cornell University provides these geographic data "as is". Cornell
University makes no guarantee or warranty concerning the accuracy of
information contained in the geographic data. Cornell University further
makes no warranty either expressed or implied, regarding the condition of
the product or its fitness for any particular purpose. The burden for
determining fitness for use lies entirely with the user. Although these
files have been processed successfully on computers at Cornell University,
no warranty is made by Cornell University regarding the use of these data
on any other system, nor does the fact of distribution constitute or imply
any such warranty.