The geology of the Ozark National Scenic Riverways (ONSR) in southern Missouri has been mapped at 1:24,000 scale. This was achieved through the combined efforts of U.S. Geological Survey and Missouri Geological Survey individual 7.5 minute quadrangle mapping and additional field work by the authors of this report. Geologic data covering the area of the ONSR, which also includes a 1 mile buffer zone surrounding the park, as well as a few key adjoining areas, have been compiled into a single, seamless GIS database.

This dataset shows the extent of maps printed from the USFWS Wetlands Mapper (https://www.fws.gov/wetlands/) in the United States in fiscal year 2024 in the state of Missouri.The U.S. Fish and Wildlife Service’s National Wetlands Inventory (NWI) is a publicly available resource that provides detailed information on the abundance, characteristics and distribution of America’s wetlands. One of the ways the wetlands data is provided to the public is via an interactive wetlands mapper (https://www.fws.gov/wetlands/data/Mapper.html). The Wetlands Mapper delivers an easy-to-use map-like view of America’s wetland resources. It spatially integrates NWI data with additional natural resource information and political boundaries to produce a robust decision support tool.From 2015-2024, over 2.3 million maps have been printed from the NWI Wetlands Mapper. The geographic extent of these maps illuminate certain patterns of how NWI data are used by the public. Being aware of how the public uses NWI data will allow the program respond to user needs, learn where updates might be most appreciated, and help guide future project planning.For questions or comments on this information, please contact Jeff Ingebritsen (jeffrey_ingebritsen@fws.gov).

This geologic map area of 5,430 km2 spans a reach of the lower Missouri River valley and adjoining uplands for about 100 kilometers east of Gavins Point Dam, the easternmost mainstem dam on the Missouri River. Understanding the surficial geologic history of the valley is relevant to natural resource management of the Missouri National Recreational River and is foundational to improved understanding of hydrology and ecology. This geodatabase is a synthesis of recent FEDMAP, EDMAP, and STATEMAP work of the National Cooperative Geologic Mapping Program with previously published maps of the geologic surveys of South Dakota, Nebraska, Iowa, and the USGS. Other data sources utilized for this map include NAIP ortho-imagery (especially for the modern river system), a photogrammetrically-produced DEM of the Missouri River Valley, and NRCS Soil Survey data. Mapping herein is based on geomorphic and other surficial characteristics as well as sedimentary and stratigraphic characteristics from exposures and borehole data. Quaternary glacial and nonglacial deposits up to 100 meters thick predominate the surface geology. Cretaceous sedimentary bedrock (largely from a former marine interior seaway) forms relatively limited exposures along valley margins of the uplands and underlies all Quaternary deposits of the map area. Assemblages of Quaternary map units and associated landscapes vary markedly between three sectors in the map area: 1) the Missouri River valley proper, 2) late Pleistocene glacial deposits of South Dakota uplands, and 3) dissected uplands in northern Nebraska, western Iowa, and southeast South Dakota. The Missouri River valley is predominantly covered by postglacial fluvial deposits overlying glaciofluvial sediments that dominate the lower part of the valley fill. The western 70 percent of the South Dakota uplands in the map area are primarily late Wisconsinan glacial deposits of the James lobe Lobe of the Laurentide Ice sheet. The remainder of the uplands, including all uplands south of the Missouri River Valley, are mantled with a discontinuous to locally thick and continuous late Quaternary loess over pre-Wisconsinan glacial and nonglacial deposits; these uplands are dissected by a surficial valley network pattern with a predominantly northwesterly orientation. The northeast side of the Missouri River valley is dominated by backswamp mud, in contrast to the southwest side, which is dominated by point bar sand and other fluvial facies deposited in proximal association with past positions of the laterally migrating Missouri River channel. Postglacial aggradation of at least 7 meters has largely buried the earlier valley fill (about 20-25 meters thick) of Pleistocene outwash composed of gravelly sand. The oldest known abandoned river meanders with surficial expression are late Holocene. About 15% of the valley floor was reworked by lateral migration of the Missouri River between ca. 1892 and 1941 during a period of decreasing channel sinuosity. After construction of the large Missouri River dams (mostly during the 1950s), a decrease in sediment load transformed the river to an incising regime that generally does not supply overbank sediment to the valley floor, in contrast to the paleo-environments indicated from the geologic record.

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:6,000, 1:12,000, and 1:24,000.

This geo-dataset assigns 18 primary geologic units to the 2014 Missouri Natural Glades shapefile. It also represents the next iteration of the 2014 version increasing the previous number of glade polygons by 9,200 and the total acreage by over 23,500. Within the last four years, improved imagery and the expansion of mapping in several new counties resulted in these additions. The revised mapping and addition of more accurate geology shapefiles permitted the assignments of specific geologic units to the glade polygons. The American Bird Conservancy provided access to ArcMap to complete this project. The geo-dataset is designed to represent concise locations for the statewide distribution of Missouriâs principal glade-producing rock formations for dolomite, limestone, sandstone, igneous, shale and chert bedrock. The authors interpreted various imagery, geologic and topographic maps then conducted field surveys to validate mapping interpretations in various glade-producing landscapes. All of the glades can be readily cross-referenced to their respective natural community based on the delineation of the rock type incorporated into the geologic unit name. For example: Roubidoux, Lamotte, Channel, and St. Peters are all sandstone glade natural communities.

The geology of the Ozark National Scenic Riverways (ONSR) in southern Missouri has been mapped at 1:24,000 scale. This was achieved through the combined efforts of U.S. Geological Survey and Missouri Geological Survey individual 7.5 minute quadrangle mapping and additional field work by the authors of this report. Geologic data covering the area of the ONSR, which also includes a 1 mile buffer zone surrounding the park, as well as a few key adjoining areas, have been compiled into a single, seamless GIS database.

Web App. Parcel map displaying Age of Housing, Residential Appraised Value and Land Use in St. Louis County, Missouri. Link to Metadata.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). In addition to the preceding, required text, the Abstract should also describe the projection and coordinate system as well as a general statement about horizontal accuracy.

National register sites, districts, certified local districts, and architectural surveys. Site resources certified by The National Park Service as included on the National Register (NR) of Historic Places.District resources certified by The National Park Service as included on the National Register (NR) of Historic Places.Certified Local Districts are historic districts established by state or local governments that have been certified by the Secretary of the Interior as substantially meeting the National Register Criteria for Evaluation. Such certification may be used as a basis for applying for federal historic preservation related income tax credits.This data set depicts the boundaries of localized architectural surveys maintained by the Missouri Department of Natural Resources, Division of State Parks, State Historic Preservation Office (SHPO). Data is derived from architectural surveys conducted by local and state agencies and members of the public, which vary in age, content, and quality.

description: The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the Universal Transverse Mercator Zone 15 projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 6000-24000.; abstract: The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the Universal Transverse Mercator Zone 15 projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 6000-24000.

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The projection is State Plane Coordinate System 1983. The horizontal accuracy meets Guidelines and specifications for DFIRM production.

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.

Water supply lakes are the primary source of water for many communities in northern and western Missouri. Therefore, accurate and up-to-date estimates of lake capacity are important for managing and predicting adequate water supply. Many of the water supply lakes in Missouri were previously surveyed by the U.S. Geological Survey (USGS) in the early 2000s (Richards, 2013) and in 2013 (Huizinga, 2014); however, years of potential sedimentation may have resulted in reduced water storage capacity. Periodic bathymetric surveys are useful to update the area/capacity table and to determine changes in the bathymetric surface. In April and May 2022, the USGS, in cooperation with the Missouri Department of Natural Resources (MoDNR) and in collaboration with the cities of Cameron, Springfield, and Unionville, Missouri, completed bathymetric surveys of seven (7) lakes using a marine-based mobile mapping unit, which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Bathymetric data were collected as the vessel traversed longitudinal transects to provide nearly complete coverage of the lake. The MBES was electronically tilted in some areas to improve data collection along the shoreline, in coves, and in areas that are shallower than about 2.0 meters deep (the practical limit of reasonable and safe data collection with the MBES). At some lakes, supplemental data were collected in shallow areas using an acoustic Doppler current profiler (ADCP) mounted on a remote-controlled vessel equipped with a differential global positioning system (DGPS). Bathymetric quality-assurance data also were collected at each lake to evaluate the vertical accuracy of the gridded bathymetric point data from the MBES. As part of the survey at each of these lakes, one or more reference marks or temporary bench marks were established to provide a point of known location and elevation from which the water surface could be measured or another survey could be referenced at a later date. In addition, the elevation of a primary spillway or intake was surveyed, when present. These points were surveyed using a real-time kinematic (RTK) Global Navigation Satellite System (GNSS) receiver connected to the Missouri Department of Transportation real-time network (RTN), which provided real-time survey-grade horizontal and vertical positioning, using field procedures as described in Rydlund and Densmore (2012) for a Level II real-time positioning survey. The MBES data can be combined with light detection and ranging (lidar) data to prepare a bathymetric map and a surface area and capacity table for each lake. These data also can be used to compare the current bathymetric surface with any previous bathymetric surface. Data from each of the surveys are provided in ESRI Shapefile format (ESRI, 2023). Each of the seven lakes surveyed in 2022 has a child page containing the metadata and two zip files, one for the bathymetric data, and the other for the bathymetric quality-assurance data. The zip files follow the format of "####2022_bathy_pts.zip" or ####2022_QA_raw.zip," where "####" is the lake name. Each of these zip files contains a shapefile with an attribute table. Attribute/column labels of each table are described in the "Entity and attribute" section of the metadata file. The various reference marks and additional points from all the lake surveys are provided in ESRI Shapefile format (ESRI, 2023) with an attribute table on the main landing page. Attribute/column labels of this table are described in the "Entity and attribute" section of the metadata file. References Cited: Environmental Systems Research Institute, 2023, ArcGIS: accessed July 12, 2023, at https://www.esri.com/en-us/arcgis/about-arcgis/overview Huizinga, R.J., 2014, Bathymetric surveys and area/capacity tables of water-supply reservoirs for the city of Cameron, Missouri, July 2013: U.S. Geological Survey Open-File Report 2014–1005, 15 p., https://doi.org/10.3133/ofr20141005. Richards, J.M., 2013, Bathymetric surveys of selected lakes in Missouri—2000–2008: U.S. Geological Survey Open-File Report 2013–1101, 9 p. with appendix, https://doi.org/10.3133/ofr20131101. Rydlund, P.H., Jr., and Densmore, B.K., 2012, Methods of practice and guidelines for using survey-grade global navigation satellite systems (GNSS) to establish vertical datum in the United States Geological Survey: U.S. Geological Survey Techniques and Methods, book 11, chap. D1, 102 p. with appendixes, https://doi.org/10.3133/tm11D1. First posted November 29, 2023 Revised July 31, 2024, ver. 1.1

The 2023 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. State Legislative Districts (SLDs) are the areas from which members are elected to state legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by state participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, New Hampshire, Wisconsin, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated as a single SLD for purposes of data presentation. The generarlized boundaries in this file are based on the most recent state legislative district boundaries collected by the Census Bureau for the 2022 election year and provided by state-level participants through the RDP.

These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Missouri River near Structure A4060 on Missouri State Highway 9 in Kansas City, Missouri, in 2010, 2011, and 2015. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and the horizontal and vertical position and attitude data of the vessel from the INS in real time. Data processing required computer software to extract bathymetry data from the raw data files and to summarize and map the information. Velocity data were collected using an acoustic Doppler current profiler (ADCP) mounted on a survey vessel equipped with a differential global positioning system (DGPS). Data were collected as the vessel traversed the river along planned transect lines distributed throughout the reach. Velocity data were processed using the Velocity Mapping Toolbox (Parsons and other, 2013), and smoothed using neighboring nodes.

The 2023 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from state officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts. The cartographic boundary files include separate files for elementary, secondary and unified school districts. The generalized school district boundaries in this file are based on those in effect for the 2022-2023 school year, i.e., in operation as of January 1, 2023.

Kansas City, Missouri - Crossroads District, Mapping Form - Tree Data Results Layer, 2024

Table Rock Lake was constructed in 1958 on the White River in southwest Missouri and northwest Arkansas for flood control, hydroelectric power, public water supply, and recreation. The surface area of Table Rock Lake is about 42,400 acres and approximately 715 miles of shoreline are at the conservation pool level (915 feet above the North American Vertical Datum of 1988). Sedimentation in reservoirs can result in reduced water storage capacity and a reduction in usable aquatic habitat. Therefore, accurate and up-to-date estimates of reservoir water capacity are important for managing pool levels, power generation, water supply, recreation, and downstream aquatic habitat. Many of the lakes operated by the U.S. Army Corps of Engineers are periodically surveyed to monitor bathymetric changes that affect water capacity. During October and November 2020, the U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, completed one such survey of Table Rock Lake using multibeam echosounders. The echosounder data was combined with light detection and ranging (lidar) data to prepare a bathymetric map and a surface area and capacity table. Collection of bathymetric data in October and November 2020 at Table Rock Lake near Branson, Missouri, used marine-based mobile mapping units that operate with several components: a multibeam echosounder (MBES) unit, an inertial navigation system (INS), and a data acquisition computer. Bathymetric data were collected using the MBES units in longitudinal transects to provide complete coverage of the lake. The MBES systems were electronically or physically tilted in some areas to improve data collection along the shoreline, in coves, and in areas that are shallower than 2.5 meters deep (the practical limit of reasonable and safe data collection with the MBES). The bathymetric data collected during the 2020 survey (TableRockLake2020_bathy_pts.zip) were gridded on a 6.56-foot (2-meter) grid using the Combined Uncertainty and Bathymetry Estimator (CUBE) method and were the source of points to create the bathymetric surface of the lake. The gridded bathymetric point data were quality-assured with data from 42 selected resurvey areas (TableRockLake2020_QA_raw.zip) to test the accuracy of the gridded bathymetric point data. The two bathymetry datasets are provided as comma-delimited text files that have been compressed into zip archives. Attribute/column labels of each dataset are described in the "Entity and attribute" section of the metadata file.

The U.S. Geological Survey (USGS), in cooperation with the city of Harrisonville, Missouri, assessed flooding of Muddy Creek resulting from varying precipitation magnitudes and durations, antecedent soil moisture conditions, and channel conditions. The precipitation scenarios were used to develop a library of flood-inundation maps that included a 3.8-mile reach of Muddy Creek and tributaries within and adjacent to the city. Hydrologic and hydraulic models of the upper Muddy Creek Basin were used to assess streamflow magnitudes associated with simulated precipitation amounts and the resulting flood-inundation conditions. The U.S. Army Corps of Engineers Hydrologic Engineering Center-Hydrologic Modeling System (HEC–HMS; version 4.4.1) was used to simulate the amount of streamflow produced from a range of rainfall events. The Hydrologic Engineering Center-River Analysis System (HEC–RAS; version 5.0.7) was then used to route streamflows and map resulting areas of flood inundation. The ...