Jo Daviess County Sinkholes

Identification Information:

Citation:

Citation Information:

Publication Date: 20200331
Title: Jo Daviess County Sinkholes
Geospatial Data Presentation Form: vector digital data
Online Linkage: https://services.arcgis.com/QVENGdaPbd4LUkLV/arcgis/rest/services/Jo_Daviess_County_Sinkholes/FeatureServer

Description:

Abstract: Please see the individual layer below to access the detailed metadata.In order to support science-based water resource management, a systematic effort was undertaken to characterize the nature and function of the hydrogeology in Jo Daviess County, Illinois (County), which is a karst area. Karst is a geologically and hydrologically integrated or interconnected and self-organizing network of landforms and subsurface large-scale, secondary porosity created by a combination of fractured carbonate bedrock, the movement of water into and through the rock body as part of the hydrologic cycle, and physical and chemical weathering (Panno, S.V. et al, 2017). Springs, cover-collapse sinkholes, crevices, and caves are among the defining features of a karst terrain. Examples of all these features are found within the County and have been characterized by scientists at the Illinois State Geological and Water Surveys, Divisions of the Prairie Research Institute, University of Illinois at Urbana-Champaign. Cover-collapse sinkholes within the County are developed in thin, fine-grained sediments above three bedrock formations: Ordovician-age Galena Dolomite and Maquoketa Shale, and Silurian-age dolomite. Sinkholes developed within the Galena Dolomite and Silurian dolomite form over crevices that can be as wide as 1 meter (m). Sinkholes developed within sediment overlying Galena Dolomite are typically the smallest ranging from about 1 m in diameter and less than 1 m deep to 5 m in diameter and less than 2 m deep. Sinkholes within sediment overlying Maquoketa Shale are much larger and include collapse of the shale as well. Maquoketa Shale hosted sinkholes are most often found in areas adjacent to the Apple River in the eastern part of the County where the water table has been lowered by discharge to the river. These sinkholes can be 8 m in diameter and 6 m deep, and are unique in that both soil and shale are collapsing into crevices within the underlying Galena Dolomite. Sinkholes within sediment overlying Silurian-age dolomite are typically the largest and can be up to 10 m wide and 7 m deep. These sinkholes typically form en echelon that follow the alignments of meter-wide linear crevices within the underlying dolomite. Panno, S.V., Donald E. Luman, and Dennis R. Kolata. Characterization of karst terrain and regional tectonics using remotely sensed data in Jo Daviess County, Illinois. Circular 589, Illinois State Geological Survey, Prairie Research Institute, University of Illinois Urbana-Champaign, 2015. https://www.isgs.illinois.edu/maps/county-maps/karst-terrain/jo-daviessPanno, S.V., Philip G. Millhouse, Randy W. Nyboer, Daryl Watson, Walton R. Kelly, Lisa M. Anderson, Curtis C. Albert, and Donald E. Luman. Guide to the Geology, Hydrogeology, History, Archaeology, and Biotic Ecology of the Driftless area of Northwestern Illinois, Jo Daviess County.Illinois State Geological Survey Guidebook 42, 2016. https://www.isgs.illinois.edu/publications/gb042Panno, S.V., Donald E. Luman, Walton R. Kelly, Timothy H. Larson, and Stephen J. Taylor. Karst of the Driftless Area of Jo Daviess County, Illinois. Circular 586, Illinois State Geological Survey, Prairie Research Institute, University of Illinois Urbana-Champaign, 2017. https://isgs.illinois.edu/maps/county-maps/karst-terrain/jo-daviess-0
Purpose: This dataset contains digitized sinkhole locations for Jo Daviess County, IL using 2009 bare-earth lidar elevation data. This is one of several datasets compiled for the Karst Feature Database of Jo Daviess County, IL and hosted by the U.S. Fish & Wildlife Service. Thumbnail photo credit: Donald Lumen, Illinois State Geological Survey
Supplemental Information: Sinkholes are considered indicators of karst bedrock and karst aquifers. However, not all karst areas have sinkholes, and the absence of sinkholes in an area, especially in an area with carbonate bedrock, does not imply the lack of karst bedrock and karst aquifers.

Time Period of Content:

Time Period Information:

Range of Dates/Times:

Beginning Date: 20200301
Ending Date: 20200328

Currentness Reference: The temporal extent of the digitizing of the sinkhole features was during March 2020. The temporal extent of the source airborne lidar data was conducted during the leaf-off period of 2009.

Status:

Progress: Complete
Maintenance and Update Frequency: As needed

Spatial Domain:

Bounding Coordinates:

West Bounding Coordinate: -90.656659
East Bounding Coordinate: -89.919786
North Bounding Coordinate: 42.508348
South Bounding Coordinate: 42.193652

Keywords:

Theme:

Theme Keyword Thesaurus: ISO 19115 Topic Categories
Theme Keyword: elevation
Theme Keyword: environment

Theme:

Theme Keyword Thesaurus: None
Theme Keyword: Sinkhole locations
Theme Keyword: Lidar elevation data

Place:

Place Keyword Thesaurus: None
Place Keyword: Jo Daviess County
Place Keyword: IL

Access Constraints: Other Constraints

Use Constraints: The United States Fish and Wildlife Service (Service) shall not be held liable for improper or incorrect use of the data described and/or contained herein. While the Service makes every reasonable effort to ensure the accuracy and completeness of data provided for distribution, it may not have the necessary accuracy or completeness required for every possible intended use. The Service recommends that data users consult the associated metadata record to understand the quality and possible limitations of the data. The Service creates metadata records in accordance with the standards endorsed by the Federal Geographic Data Committee.As a result of the above considerations, the Service gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of the data. It is the responsibility of the data user to use the data in a manner consistent with the limitations of geospatial data in general and these data in particular. Although these data have been processed successfully on a computer system at the Service, no warranty, expressed or implied, is made regarding the utility of the data on another system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This applies to the use of the data both along and in aggregate with other data and information.

Point of Contact:

Contact Information:

Contact Organization Primary:

Contact Organization: US Fish and Wildlife Service, La Crosse Fish and Wildlife Conservation Office
Contact Person: Louise Mauldin

Contact Position: Fish Biologist

Contact Address:

Address Type: mailing
Address: 555 Lester Avenue
City: Onalaska
State or Province: IL
Postal Code: 54650
Country: US

Contact Voice Telephone: 608-783-8444

Contact Electronic Mail Address: louise_mauldin@fws.gov

Data Set Credit: U.S. Fish and Wildlife Service, La Crosse Fish and Wildlife Conservation Office, Midwest Fisheries Center, Onalaska WI Illinois State Geological Survey, Prairie Research Institute, University of Illinois, Champaign IL

Native Data Set Environment: Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.1.7333

Data Quality Information:

Logical Consistency Report: All karst sinkholes within the geographic area of Jo Daviess County, IL were detected and digitized as point features through direct interpretation of shaded relief images derived from the processing of 2009 lidar bare-earth digitial elevation model (DEM) data. Because all depression features are not karst-related, the ISGS statewide bedrock geology GIS data layer was first used to determine if the depression features are situated in bedrock formations known to be conducive to karst feature development, including such features as bedrock crevices, caves, and sinkholes. The latitude/longitude location of each sinkhole was calculated. Since the bare-earth lidar shaded relief images depict the detailed morphology of each sinkhole, the lowest point within each feature, or in many cases the actual sinkhole drain, was digitized. The elevation was subsequently collected from analysis of the lidar DEM.

Completeness Report: All karst sinkholes within the geographic area of Jo Daviess County, IL were detected and digitized as point features through direct interpretation of shaded relief images derived from the processing of 2009 lidar bare-earth digitial elevation model (DEM) data. Because all depression features are not karst-related, the ISGS statewide bedrock geology GIS data layer was first used to determine if the depression features are situated in bedrock formations known to be conducive to karst feature development, including such features as bedrock crevices, caves, and sinkholes. The latitude/longitude location of each sinkhole was calculated. Since the bare-earth lidar shaded relief images depict the detailed morphology of each sinkhole, the lowest point within each feature, or in many cases the actual sinkhole drain, was digitized. The elevation was subsequently collected from analysis of the lidar DEM.

Lineage:

Source Information:

Source Citation:

Citation Information:

Publication Date: 20140612
Title: https://clearinghouse.isgs.illinois.edu/

Source Scale Denominator: 3600

Type of Source Media: None

Source Citation Abbreviation: https://clearinghouse.isgs.illinois.edu/

Source Contribution: The LiDAR data is captured using twin-engine fixed wing aircraft equipped with a LiDAR system. The LiDAR system includes a differential GPS unit and inertial measurement system to provide superior accuracy. LiDAR swaths are inspected, aligned to one another and indexed to surface check points. Data points are classified, inspected and breaklines added. Derivative data products are produced for delivery. Acquisition parameters: 1. Scanner - Optech ALTM Gemini 2. Flight Height - 1500 m above mean terrain 3. Swath Width - 32 degrees 4. Sidelap - 60% 5. Nominal Post Spacing - 1.0 m. GPS and IMU processing parameters: 1. Processing Programs and version - Applanix - POSGPS and POSProc, versions 4.4 2. Maximum baseline length - Not greater than 30 km 3. Number of base stations during LiDAR collection - A minimum of 2 were occupied during any of the lifts to acquire the LiDAR data 4. Max separation between base stations during LiDAR collection - 0.12 m 5. IMU processing monitored for consistency and smoothness - Yes Point Cloud Processing: 1. Program and version - Dashmap, version 4.0027 2. Horizontal Datum - NAD83(NSRS2007) 3. Horizontal Coordinates - Illinois State Plane Coordinate System, 1202, West Zone, in US Survey Foot 4. Vertical Datum - NAVD88 5. Geoid Model used to reduce satellite derived elevations to orthometric heights - NGS Geoid03. LIDAR Processing: 1. Processing Programs and versions - TerraSolid TerraScan (version 009.004), TerraModeler (version 009.001 and TerraMatch (version 009.001) and MicroStation (version 08.01.02.15). 2. Point Cloud data is imported to TerraScan in a Microstation V8 (V) CAD environment on a specified 2000 foot by 2000 foot tiling scheme. 3. Analyze the data for overall completeness and consistency. This is to ensure that there are no voids in the data collection. 4. Inspect for calibration errors in the dataset using the TerraMatch software. This is accomplished by sampling the data collected across all flight lines and classify the individual lines to ground. The software will use the ground-classified lines to compute corrections (Heading, Pitch, Roll, and Scale). 5. Orientation corrections (i.e. Calibration corrections) are then applied to the entire dataset. 6. Automatic ground classification is performed using algorithms with customized parameters to best fit the project area. Several areas of varying relief and planimetric features were inspected to verify the final ground surface. 7. Quantum Spatial provided Quality Assurance and Quality Control (QAQC) data for this project. ILDOT captured QA/QC points in multiple land cover categories that were used to test the accuracy of the LiDAR ground surface. TerraScan's Output Control Report (OCR) was used to compare the QAQC data to the LIDAR data. This routine searches the LIDAR dataset by X and Y coordinates, finds the closest LIDAR point and compares the vertical (Z) values to the known data collected in the field. Based on the QAQC data, a bias adjustment was determined, and the results were applied to the LIDAR data. A final OCR was performed with a resulting RMSE of 0.09 feet. 8. Once the automatic processing and the testing of LiDAR is complete, Quantum Spatial reviews the generated bare-earth surface data to insure that proper classification was achieved as part of a Quality Control process. 9. Final deliverables are generated and output to a client specified 2000 ft by 2000 ft tiling scheme. Note: The complete metadata is available for public access and download at: https://clearinghouse.isgs.illinois.edu/node/1562

Process Step:

Process Description: The data source description gives a detailed description of how the sinkhole data set was developed.
Process Date: 20090320

Spatial Data Organization Information:

Direct Spatial Reference Method: Vector

Point and Vector Object Information:

SDTS Terms Description:

SDTS Point and Vector Object Type: Entity point
Point and Vector Object Count: 0

Entity and Attribute Information:

Detailed Description:

Entity Type:

Entity Type Label: JoDaviessCounty_Sinkholes
Entity Type Definition: Jo Davies County Sinkhole Feature Layer
Entity Type Definition Source: Illinois State Geological Survey

Attribute:

Attribute Label: FID

Attribute Definition: Internal feature number.

Attribute Definition Source: Esri