This site provides free access to Iowa geographic map data, including aerial photography, orthophotos, elevation maps, and historical maps. The data is available through an on-line map viewer and through Web Map Service (WMS) connections for GIS. The site was developed by the Iowa State University Geographic Information Systems Support and Research Facility in cooperation with the Iowa Department of Natural Resources, the USDA Natural Resources Conservation Service, and the Massachusetts Institute of Technology. This site was first launched in March 1999.

U.S. Geological Survey (USGS) scientists conducted field data collection efforts between October 25th and 31st, 2020 at several sites in eastern Iowa using high accuracy surveying technologies. The work was initiated as an effort to validate commercially acquired topographic light detection and ranging (lidar) data that was collected between December 7th, 2019 and November 19th, 2020 using wide area mapping lidar systems for the USGS 3D Elevation Program (3DEP). The goal was to compare and validate the airborne lidar data to topographic, structural, and infrastructural data collected through more traditional means (e.g., Global Navigational Satellite System (GNSS) surveying). Evaluating these data will provide valuable information on the performance of wide area topographic lidar mapping capabilities that are becoming more widely used in 3DEP. The airborne lidar was collected to support the U.S. Department of Agriculture (USDA) Natural Resources Conservation Service (NRCS) High Resolution Elevation Enterprise Program and the Iowa Department of Agriculture and Land Stewardship Iowa Flood Plain Program, in addition to the 3DEP mission. The data contained within this particular release are comprised of conventional survey (i.e. total station and GNSS) and ground based lidar data.

(In progress)A popular acronym used as a generic term for digital topographic and bathymetric data in all its various forms. Unless specifically referenced as a digital surface model (DSM), the generic DEM normally implies x, y coordinates and z-values of the bare-earth terrain void of vegetation and man-made features.As used by the U.S. Geological Survey (USGS), a DEM is the digital cartographic representation of the elevation of the land at regularly spaced intervals in x and y directions, using z-values referenced to a common vertical datum.As typically used in the United States and elsewhere, a DEM has bare-earth z-values at regularly spaced intervals in x and y directions; however, grid spacing, datum, coordinate systems, data formats, and other characteristics may vary widely.A “D-E-M” is a specific raster data format once widely used by the USGS. DEMs are a sampled array of elevations for a number of ground positions at regularly spaced intervals.

Geospatial (GIS) Data on glacial topography derived from LiDAR elevation data. Contains GIS vector data (in ESRI file geodatabases) that characterize the geometry ofglacial landforms created during the last glaciation (12,000 to 14,000 years ago), such as moraines, ice walled lake plains, doubly breached doughnuts and eskers and is supplementedby online LiDAR derived elevation data. For easy data access, an ArcGIS Pro 3.0 project (aprx) file is provided.

2 Foot Contours of Iowa, Derived from LiDAR Data. Full Metadata: ftp://ftp.igsb.uiowa.edu/gis_library/ia_state/elevation/contours_2ft/contours_2ft.html

This data set represents a digital elevation model (DEM) of the land surface of Iowa, in the UTM projection, Zone 15, NAD83 horizontal datum, with elevation in centimeters NAVD 88 vertical datum. The DEM has a horizontal resolution of 3 meters and was aggregated from one meter resolution elevation data from the state of Iowa's LiDAR program. The aggregation process uses a 3x3 pixel moving average window, which helps to smooth out noise in the one meter data, but also softens sharp edges of landscape features such as ditches and ridges, which may be undesirable for some purposes. The DEM was then Integerizied to shrink the size of the file, so final units are in centimeters. Water features sometimes have a triangular appearance due to lack of lidar returns over water and should be ignored.

The Horizontal surface is a plane 150’ above the established airport elevation. The perimeter of which is constructed by swinging arcs of specified radii from the center of each end of the primary surface and connecting adjacent arcs by lines tangent to those arcs.

This is collection level metadata for LAS and ASCII data files from the statewide Iowa Lidar Project. The Iowa Light Detection and Ranging (LiDAR) Project collects location and elevation (X, Y, Z) data to a set standard for the entire state of Iowa. LIDAR is defined as an airborne laser system, flown aboard rotary or fixed-wing aircraft, that is used to acquire x, y, and z coordinates of terrain and terrain features that are both manmade and naturally occurring. LIDAR systems consist of a light-emitting scanning laser, an airborne Global Positioning System (GPS) with attendant GPS base station(s), and an Inertial Measuring Unit (IMU). The laser scanning system measures ranges from the scanning laser to terrain surfaces by measuring the time it takes for the emitted light (LIDAR return) to reach the earth's surface and reflect back to the onboard LIDAR detector. The airborne GPS system ascertains the in-flight three-dimensional position of the sensor, and the IMU delivers precise information about the attitude of the sensor. The LIDAR system incorporates data from these three subsystems to produce a large cloud of points on the land surface whose X, Y, and Z coordinates are known within the specified accuracy. This collection consists of ASCII files of bare earth elevations and intensity (x,y,z,i) and, LAS (version 1.0 lidar data interchange standard) binary files that include all 1st and last returns, intensity and bare earth classification.

This dataset contains model predictions of soil erosion and soil organic carbon (SOC) redistribution caused by agricultural practices such as tillage erosion. Soil erosion diminishes agricultural productivity by driving the loss of SOC. This model addresses a growing need to predict soil organic carbon transport, loss, and deposition. The model was applied to three sites containing paired prairie grassland and field plots in Iowa, and predicts SOC redistribution between 1859 to 2019. The model was developed by incorporating a SOC mixing model with a landscape evolution model that simulates tillage erosion.

Terrain data, as defined in FEMA Guidelines and Specifications, Appendix M: Data Capture Standards, describes the digital topographic data that was used to create the elevation data representing the terrain environment of a watershed and/or floodplain. Terrain data requirements allow for flexibility in the types of information provided as sources used to produce final terrain deliverables. Once this type of data is provided, FEMA will be able to account for the origins of the flood study elevation data. (Source: FEMA Guidelines and Specifications, Appendix M, Section M.4).

Digital raster graphic (1:24,000-scale DRG) is a scanned image of a US Geological Survey (USGS) standard series topographic map. The image is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator projection.

These data are part of a larger USGS project to develop an updated geospatial database of mines, mineral deposits and mineral regions in the United States. Mine and prospect-related symbols, such as those used to represent prospect pits, mines, adits, dumps, tailings, etc., hereafter referred to as “mine” symbols or features, are currently being digitized on a state-by-state basis from the 7.5-minute (1:24,000-scale) and the 15-minute (1:48,000 and 1:62,500-scale) archive of the USGS Historical Topographic Maps Collection, or acquired from available databases (California and Nevada, 1:24,000-scale only). Compilation of these features is the first phase in capturing accurate locations and general information about features related to mineral resource exploration and extraction across the U.S. To date, the compilation of 500,000-plus point and polygon mine symbols from approximately 67,000 maps of 22 western states has been completed: Arizona (AZ), Arkansas (AR), California (CA), Colorado (CO), Idaho (ID), Iowa (IA), Kansas (KS), Louisiana (LA), Minnesota (MN), Missouri (MO), Montana (MT), North Dakota (ND), Nebraska (NE), New Mexico (NM), Nevada (NV), Oklahoma (OK), Oregon (OR), South Dakota (SD), Texas (TX), Utah (UT), Washington (WA), and Wyoming (WY). The process renders not only a more complete picture of exploration and mining in the western U.S., but an approximate time line of when these activities occurred. The data may be used for land use planning, assessing abandoned mine lands and mine-related environmental impacts, assessing the value of mineral resources from Federal, State and private lands, and mapping mineralized areas and systems for input into the land management process. The data are presented as three groups of layers based on the scale of the source maps. No reconciliation between the data groups was done.

Clear Creek Data:

• Clear Creek DEM Hillshade Near IR U West - Near Infra-red (NIR) Lidar. Hillshade including canopy of western block in the watershed. QA/QC: By NCALM.

• Clear Creek DEM Hillshade Near IR U East - Near Infra-red (NIR) Lidar. Hillshade including canopy of eastern block in the watershed. QA/QC: By NCALM.

• Clear Creek DEM Hillshade Near IR F West - Near Infra-red (NIR) Lidar. Hillshade of topograpy without canopy of western block in the watershed. QA/QC: By NCALM.

• Clear Creek DEM Hillshade Near IR F East - Near Infra-red (NIR) Lidar. Hillshade of topograpy without canopy of eastern block in the watershed. QA/QC: By NCALM.

• Clear Creek DEM Hillshade Green Lidar F West - Green Lidar. Hillshade of topograpy without canopy of western block in the watershed. QA/QC: By NCALM.

• Clear Creek DEM Hillshade Green Lidar F East - Green Lidar. Hillshade of topograpy without canopy of eastern block in the watershed. QA/QC: By NCALM.

• Clear Creek DEM Near IR Lidar U West - Near Infra-red (NIR) Lidar. DEM including canopy of western block in the watershed. QA/QC: By NCALM.

• Clear Creek DEM Near IR Lidar U East - Near Infra-red (NIR) Lidar. DEM including canopy of eastern block in the watershed. QA/QC: By NCALM.

• Clear Creek DEM Near IR Lidar F West - Near Infra-red (NIR) Lidar. DEM of topography without canopy of western block in the watershed. QA/QC: By NCALM.

• Clear Creek DEM Near IR Lidar F East - Near Infra-red (NIR) Lidar. DEM of topography without canopy of eastern block in the watershed. QA/QC: By NCALM.

• Clear Creek DEM Green Lidar F West - Green Lidar. DEM of topography without canopy of western block in the watershed. QA/QC: By NCALM.

• Clear Creek DEM Green Lidar F East - Green Lidar. DEM of topography without canopy of eastern block in the watershed. QA/QC: By NCALM.

• Clear Creek CSD AQ 2015 - CZO Clear Creek IA - Waveform CSD Digitizer Data - CSD AQ 2015 Data.

• Clear Creek CSD AQ 2014 - Green Lidar. Raw Full Waveform Lidar. QA/QC: None.

• Clear Creek CSD NIR 2015 - CZO Clear Creek IA - Waveform CSD Digitizer Data - NIR 2015 Data.

• Clear Creek CSD NIR 2014 - Near Infra-red (NIR) Lidar. Raw Full Waveform Lidar. QA/QC: None.

• Clear Creek NIR - Near Infra-red (NIR) Lidar. Point Cloud data. QA/QC: By NCALM.

• Clear Creek AQ_532 - Green Lidar. Point Cloud data. QA/QC: By NCALM.

  GIS data in CCW - This dataset contains: * wss_gsmsoil_IA_[2006-07-06].zip = Soil data from SURRGO of the IA state * wss_SSA_IA095_soildb_IA_2003_[2016-09-22].zip = Soil data from SURRGO of watershed IA095. covers another half of CCW *. wss_SSA_IA103_soildb_IA_2003_[2016-09-22].zip = Soil data from SURRGO of watershed IA095. covers half of CCW * CCW_crop_cover_tif.zip = CCW crop cover in 2007 * ClearCreek_Streams.zip = Stream file for Clear Creek watershed in Iowa *. State_of_Iowa.zip = Shape file of the boundary of * ClearCreek_Border.zip = Shape file of the boundary of Iowa State QA/QC: Yes. * CCW 10 DEM - This dataset contains: * n42w093.zip = 10 meter resolution DEM at 42N 93W * n42w092.zip = 10 meter resolution DEM at 42N 92W * n42w091.zip = 10 meter resolution DEM at 42N 91W QA/QC: Yes. * CCW 1m lidar DEM - 1 meter resolution DEM for Clear Creek watershed QA/QC: Yes. * 2m Lidar DEM - 2 meter resolution DEM for Clear Creek watershed QA/QC: Yes.

Surface elevation of Silurian-age strata. Iowa Hydrogeologic Map Server - Silurian Surface Elevation

Elevation of bedrock surface in Iowa. for more information or to download the file, see links provided.

Dataset includes continuous discharge at the USGS (Station ID: 05485605) Fourmile Creek near Ankeny, IA DS1 gage site (http://waterdata.usgs.gov/usa/nwis/uv?site_no=05485605) as well as daily precipitation and water level data in select groundwater piezometers recorded in 10 minute intervals during the period Oct 1, 2013 to November 30 2013. Latitude and longitude data are provided for groundwater piezometer locations.

This geodatabase includes spatial datasets that represent the Mississippian aquifer in the States of Alabama, Illinois, Indiana, Iowa, Kentucky, Maryland, Missouri, Ohio, Pennsylvania, Tennessee, Virginia and West Virginia. The aquifer is divided into three subareas, based on the data availability. In subarea 1 (SA1), which is the aquifer extent in Iowa, data exist of the aquifer top altitude and aquifer thickness. In subarea 2 (SA2), which is the aquifer extent in Missouri, data exist of the aquifer top and bottom aquifer surface altitudes. In subarea 3 (SA3), which is the aquifer area of the remaining States, no altitude or thickness data exist. Included in this geodatabase are: (1) a feature dataset "ds40MSSPPI_altitude_and_thickness_contours that includes aquifer altitude and thickness contours used to generate the surface rasters for SA1 and SA2, (2) a feature dataset "ds40MSSPPI_extents" that includes a polygon dataset that represents the subarea extents, a polygon dataset that represents the combined overall aquifer extent, and a polygon dataset of the Ft. Dodge Fault and Manson Anomaly, (3) raster datasets that represent the altitude of the top and the bottom of the aquifer in SA1 and SA2, and (4) georeferenced images of the figures that were digitized to create the aquifer top- and bottom-altitude contours or aquifer thickness contours for SA1 and SA2. The images and digitized contours are supplied for reference. The extent of the Mississippian aquifer for all subareas was produced from the digital version of the HA-730 Mississippian aquifer extent, (USGS HA-730). For the two Subareas with vertical-surface information, SA1 and SA2, data were retrieved from the sources as described below. 1. The aquifer-altitude contours for the top and the aquifer-thickness contours for the top-to-bottom thickness of SA1 were received in digital format from the Iowa Geologic Survey. The URL for the top was ftp://ftp.igsb.uiowa.edu/GIS_Library/IA_State/Hydrologic/Ground_Waters/ Mississippian_aquifer/mississippian_topography.zip. The URL for the thickness was ftp://ftp.igsb.uiowa.edu/GIS_Library/IA_State/Hydrologic/Ground_Waters/ Mississippian_aquifer/mississippian_isopach.zip Reference for the top map is Altitude and Configuration, in feet above mean sea level, of the Mississipian Aquifer modified from a scanned image of Map 1, Sheet 1, Miscellaneous Map Series 3, Mississippian Aquifer of Iowa by P.J. Horick and W.L. Steinhilber, Iowa Geological Survey, 1973; IGS MMS-3, Map 1, Sheet 1 Reference for the thickness map is Distribution and isopach thickness, in feet, of the Mississipian Aquifer, modified from a scanned image of Map 1, Sheet 2, Miscellaneous Map Series 3, Mississippian Aquifer of Iowa by P.J. Horick and W.L. Steinhilber, Iowa Geological Survey, 1973; IGS MMS-3, Map 1, Sheet 2 The altitude contours for the top and bottom of SA2 were digitized from georeferenced figures of altitude contours in U.S. Geological Survey Professional Paper 1305 (USGS PP1305), figure 6 (for the top surface) and figure 9 (for the bottom surface). The altitude contours for SA1 and SA2 were interpolated into surface rasters within a GIS using tools that create hydrologically correct surfaces from contour data, derive the altitude from the thickness (depth from the land surface), and merge the subareas into a single surface. The primary tool was an enhanced version of "Topo to Raster" used in ArcGIS, ArcMap, Esri 2014. ArcGIS Desktop: Release 10.2 Redlands, CA: Environmental Systems Research Institute. The raster surfaces were corrected in areas where the altitude of the top of the aquifer exceeded the land surface, and where the bottom of an aquifer exceeded the altitude of the corrected top of the aquifer.

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 bedrock geologic map portrays the current interpretation of the distribution of various bedrock stratigraphic units present at the bedrock surface. The bedrock surface is buried by unconsolidated surficial sediments (mostly Quaternary) over most of its extent, but this surface coincides with the modern land surface in areas of bedrock exposure. The map is consistent with all available data including drill records and well samples, as well as surface bedrock exposures (both natural and man-made) and shallow-to-bedrock soils units (NRCS county soils maps). Mapped stratigraphic intervals are portrayed primarily at the group level (i.e., a grouping of bedrock formations), each characterized by distinctive lithologies (rock types) summarized in the map key and associated metadata. The distribution of bedrock units was mapped to conform to the current map of bedrock topography (elevation of the bedrock surface). The structural configurations of relevant stratigraphic datums were intercepted with the bedrock topographic surface to produce the map contacts. The line style shown on the bedrock geologic map qualitatively reflects both data density and degree of certainty of individual stratigraphic contacts. Detailed line work is possible in areas of modern bedrock exposure, but more generalized line work (smooth and more sweeping forms) is portrayed in areas of sparser data control. The new bedrock map is, in part, a revised and updated compilation of seven multi-county bedrock maps prepared between 1998 and 2004 as part of Iowa's STATEMAP program (funded through U.S. Geological Survey). These maps were further supplemented with other STATEMAP bedrock compilations for portions of northeast and eastern Iowa, although much of the bedrock geology shown for northeast Iowa represents new and previously unpublished information. Bedrock faults are displayed in the map as sharp linear features offsetting mapped stratigraphic units.

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.