This layer shows the address points within Lake County, Indiana. It is maintained by the GIS department within the Lake County Surveyor's Office. The layer will be updated as changes are made to the source data.

This dataset was created using the spring 2023 ortho imagery of Lake County, Indiana and the Extract Features Using AI Models geoprocessing tool in ArcGIS Pro 3.5. The model used was the ESRI provided Building Footprint Extraction - USA. The polygon regularization method used was Right Angles with a tolerance of 1 meters. After the layer was created, a small amount of QA/QC was done manually by the Lake County Surveyor's Office. This work was mostly done along the major highways within Lake County. In an effort to eliminate 'noise' polygons the decision was made to delete all building footprints that were less than 151 square feet. Because of this many sheds and garages will not be included in this dataset.

Layer showing the locations of schools within Lake County, Indiana. The layer will be updated as potential changes are brought to the attention of the Lake County Surveyor's Office.

Point layer showing the locations of all fire stations within Lake County, Indiana. The layer was originally updated and verified in the summer/fall of 2016 by the GIS department. It has since been updated several times as any additions or subtractions involving the data are discovered. It will continue to be updated in the same manner.

This layer shows the road centerlines for Lake County, Indiana. It will be updated as any changes are made to the source data.

This layer shows the geographic township boundaries within Lake County, Indiana.

This data represents the land contour elevations for Lake County, Indiana. The contours are at intervals of one foot. The contours were created using a 5 foot resolution DEM derived from 2005 orthophotography. The DEM was run through the focal statistics tool using a 10 x 10 cell grid to smooth the contour lines. Contours were then created using the contour tool in ArcGIS. The contours were clipped down to the county boundary. The steps in the video linked below were followed to create these countours https://www.youtube.com/watch?v=q3iblCHGoZk.

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

This dataset was created from the National Hydrography Dataset water bodies feature class. Processes were run in order to only include the water bodies related to Lake County, Indiana. A definition query was then used to only show the water bodies classified as lakes.Information on the National Hydrography Dataset can be found below:The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee.

The PALEOMAP project produces paleogreographic maps illustrating the Earth's plate tectonic, paleogeographic, climatic, oceanographic and biogeographic development from the Precambrian to the Modern World and beyond.

A series of digital data sets has been produced consisting of plate tectonic data, climatically sensitive lithofacies, and biogeographic data. Software has been devloped to plot maps using the PALEOMAP plate tectonic model and digital geographic data sets: PGIS/Mac, Plate Tracker for Windows 95, Paleocontinental Mapper and Editor (PCME), Earth System History GIS (ESH-GIS), PaleoGIS(uses ArcView), and PALEOMAPPER.

Teaching materials for educators including atlases, slide sets, VHS animations, JPEG images and CD-ROM digital images.

Some PALEOMAP products include: Plate Tectonic Computer Animation (VHS) illustrating motions of the continents during the last 850 million years.

Paleogeographic Atlas consisting of 20 full color paleogeographic maps. (Scotese, 1997).

Paleogeographic Atlas Slide Set (35mm)

Paleogeographic Digital Images (JPEG, PC/Mac diskettes)

Paleogeographic Digital Image Archive (EPS, PC/Mac Zip disk) consists of the complete digital archive of original digital graphic files used to produce plate tectonic and paleographic maps for the Paleographic Atlas.

GIS software such as PaleoGIS and ESH-GIS.

The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" “Standard” (http://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level) for the entire United States. Some areas may also include additional subdivisions representing the 14- and 16-digit hydrologic unit (HU). At a minimum, the HUs are delineated at 1:24,000-scale in the conterminous United States, 1:25,000-scale in Hawaii, Pacific basin and the Caribbean, and 1:63,360-scale in Alaska, meeting the National Map Accuracy Standards (NMAS). Higher resolution boundaries are being developed where partners and data exist and will be incorporated back into the WBD. WBD data are delivered as a dataset of polygons and corresponding lines that define the boundary of the polygon. WBD polygon attributes include hydrologic unit codes (HUC), size (in the form of acres and square kilometers), name, downstream hydrologic unit code, type of watershed, non-contributing areas, and flow modifications. The HUC describes where the unit is in the country and the level of the unit. WBD line attributes contain the highest level of hydrologic unit for each boundary, line source information and flow modifications.

Point layer showing the locations of all hospitals within Lake County, Indiana. The layer was originally updated and verified in the summer/fall of 2016 by the GIS department. It has since been updated several times as any additions or subtractions involving the data are discovered. It will continue to be updated in the same manner.

Point layer showing the locations of all police stations within Lake County, Indiana. The layer was originally updated and verified in the summer/fall of 2016 by the GIS department. It has since been updated several times as any additions or subtractions involving the data are discovered. It will continue to be updated in the same manner.

High resolution buildings dataset for Lake County, IN. The primary sources used to derive this buildings layer were 2013 LiDAR data and 2013 Ortho imagery. Ancillary data sources included GIS data provided by Lake County or created by the UVM Spatial Analysis Laboratory. This buildingsdataset is considered current as of Summer, 2013. Object-based image analysis techniques (OBIA) were employed to extract building information using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. Following the automated OBIA mapping a detailed manual review of the dataset was carried out at a scale of 1:2,500 and all observable errors were corrected.This dataset contains footprints for buildings and some large out buildings. Many garages and sheds are not included in this dataset. The Lake County Surveyor's Office ran the Regularize Building Footprints geoprocessing tool after the layer was created to make the building footprints more aesthetically appealing.

This point layer shows the spot elevations in most of Lake County, Indiana. The layer was derived from the 1 foot 1998 contour polyline layer. It does not cover any area north of Interstate 80/94.

This data represents the land contour elevations for Lake County, Indiana. The contours are at intervals of one foot. The layer represents te land elevation as of 1998.

High resolution impervious dataset for Lake County, IN. The primary sources used to derive this impervious layer were 2013 LiDAR data, 2013 Ortho imagery and 2012 NAIP imagery. Ancillary data sources included GIS data provided by Lake County or created by the UVM Spatial Analysis Laboratory. This impervious dataset is considered current as of Summer, 2013. Object-based image analysis techniques (OBIA) were employed to extract impervious information using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. Following the automated OBIA mapping a detailed manual review of the dataset was carried out at a scale of 1:2,500 and all observable errors were corrected.

This dataset was created from the National Hydrography Dataset flowlines feature class. Processes were run in order to only include the flowlines related to Lake County, Indiana. Information on the National Hydrography Dataset can be found below:The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee.

This data is point elevations extracted from the 1ft contour feature class using Esri ArcGIS Desktop 10.3.1 Spatial Analyst Tools.