This feature class contains lakes that have "accepted" names. These are generally on public property (not not always!). Names were derived from GNIS (Geographic Name Information System), National Hydrological Dataset, WMA biologists; Division of Wildlife regulated dams, Fishing in Neighborhoods (FINS) program, Kentucky Ornithological Society (KOS) reports, and even county maps. For lakes showing up on WMA maps, the lakes are updated periodically with most recent imagery.Download Link: https://app.fw.ky.gov/kfwis/kygeonet/Named_Lakes.zip

This feature class contains lakes that have "accepted" names. These are generally on public property (not not always!). Names were derived from GNIS (Geographic Name Information System), National Hydrological Dataset, WMA biologists; Division of Wildlife regulated dams, Fishing in Neighborhoods (FINS) program, Kentucky Ornithological Society (KOS) reports, and even county maps. For lakes showing up on WMA maps, the lakes are updated periodically with most recent imagery.

The Hydrographic Lines (HL_LINE) layer consists of polyline boundaries of water bodies such as lakes, basins, ponds and wet streams within Jefferson County, Kentucky in Spring of 2019. View detailed metadata.

Section 305(b) of the Clean Water Act requires states to assess the condition of the Waters of the US. The Kentucky Division of Water, in cooperation with other agencies, collects biological and water quality data to assess the condition of the resource and reports this to Congress every two years in the Water Quality Report to Congress (305(b)). These data represent the assessment results for aquatic life for surface waters of the Commonwealth of Kentucky.Box Download: https://ky.box.com/v/energy-environment/file/850632254516

Section 305(b) of the Clean Water Act requires states to assess the condition of the Waters of the US. The Kentucky Division of Water, in cooperation with other agencies, collects biological and water quality data to assess the condition of the resource and reports this to Congress every two years in the Water Quality Report to Congress (305(b)). These data represent the assessment results for aquatic life for surface waters of the Commonwealth of Kentucky.Box Download: https://ky.box.com/v/energy-environment/file/850626758848

The Hydrographic Lines (HL) layer consists of photogrammetrically interpreted polygons representing water bodies such as lakes, basins, ponds and wet streams within Jefferson County, Kentucky in Spring of 2019. View detailed metadata.

Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

The USGS compiles online access to water-resources data collected at approximately 1.5 million sites in all 50 States, the District of Columbia, Puerto Rico, the Virgin Islands, Guam, American Samoa and the Commonwealth of the Northern Mariana Islands.

This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer