GIS Quality Assurance Project Plan
Assessing the Environmental Condition of
Sinkholes in the Jacks Fork Watershed
Top of the Ozarks Resource Conservation & Development Inc.
6726 Highway 63
Houston, MO 65483
Table of Contents
Section A - Project Management
3. Project Distribution List . .. 1
4. Project / Task Organization . .. 1
5. Background . .. 1
6. Project Description . 2
7. Quality Objectives and Survey Measurement Performance Criteria .. 2
8. Certification .. 6
9. Documentation . 7
Section B - Data Acquisition / Measurement
1. Process Design 7
2. Sampling and Image Acquisition Methods . 7
3. Sample Handling and Custody .. 8
4. Analytical Methods ... 8
5. Quality Control 8
6. Instrument / Equipment Testing, Inspection, and Maintenance 9
7. Instrument Calibration and Frequency .. 9
8. Inspection/Acceptance Requirements for Supplies & Consumables 9
9. Data Acquisition Requirements . 9
10. Data Management . 9
Section C - Data Acquisition / Measurement
1. Assessment and Response Actions . 10
2. Reports to Management . 10
Section D - Data Validation and Usability
1. Data Review, Validation and Verification Criteria ... 10
2. Verification and Validation Methods ...... 10
3. Reconciliation with Data Quality Objectives ... 11
Section A - Project Management
Project Distribution List
Project / Task Organization
The Jacks Fork River in South Central Missouri is classified as an "Outstanding Natural Resource Water" that must be protected to maintain safe whole-body contact. A recent assessment of the Jacks Fork River conducted by the U.S. Geological Survey and the National Park Service shows that levels of fecal coliform bacteria in the river are exceeding the State's standard of 200 bacterial colonies per 100 milliliters of water for safe whole-body contact recreation. As an Outstanding Natural Resource Water, no degradation of water quality is allowed per Missouri's Water Quality Standards.
To address the bacteria issue, the Missouri Department of Natural Resources (MoDNR) conducted a study to establish a Total Maximum Daily Load (TMDL) for fecal coliform in the Jacks Fork River ( See: www.epa.gov/region07/water/pdf/jacksfork_riverfinaltmdl.pdf ). MoDNR then held a series of public meetings to inform local residents of the results of the TMDL study and encouraged the formation of a watershed partnership for local decision making and watershed management. As a result MoDNR's public meetings, a group of approximately 30 local business representatives and landowners volunteered to form the Jacks Fork Watershed Committee.
The Jacks Fork Watershed Committee plans to address the Jack Fork River's water quality issues through grant-funded studies and programs that will promote common sense management practices and aid individual voluntary actions that will avert direct intervention by state and federal agencies. The Committee's goal is to develop a watershed management plan that is based on local cooperation to educate, preserve, protect and promote water quality and recreational use of the Jacks Fork River and its watershed. As an initial step, the Committee is undertaking this project to develop a geographic information system (GIS) that will be used to guide water quality management in the Jacks Fork River Watershed.
The Jacks Fork River Watershed is formed in karst terrain, so a major objective of the project is to identify and map karst features that recharge groundwater flow to large springs on the river. To accomplish this task, an initial GIS will be developed from existing sources of digital geospatial data. The GIS data will be incorporated into a GPS field mapping system that will be used to map and document the condition of 300 sinkholes and other significant hydrologic features. Dye traces will be performed to define the general direction of karst groundwater flow and identify significant areas of recharge for the springs on the Jacks Fork River. The resulting GIS will form a digital hydrographic model of the watershed that will be used for the development and implementation of a watershed management plan.
Quality Objectives and Survey Measurement Performance Criteria
Mapping and hydrographic modeling of the complex karst conditions within the Jacks Fork River Watershed will require the GIS to be developed at a scale of 1:24000. Since the GIS will ultimately be combined with cadastral and land use data, the GIS will be developed in units of US feet set in the Missouri Central State Plane Coordinate System using the North American Datum of 1983 (NAD83).
All GIS and GPS data produced for the project will adhere as closely as possible to National Map Accuracy Standards for 1:24000 scale maps. The standard specifies that 90 percent of well-defined features are to be within 0.02 inches, which is 40 feet, of the true mapped ground position.
Some existing geospatial data that is to be incorporated into the GIS is originally produced at scales smaller than 1:24000. This positional accuracy of this data will be refined by editing point and vertice positions to match the features as they appear on an aerial image that meets the required accuracy.
The aerial image base for the project will be developed from United States Department of Agriculture (USDA) 2003 National Agricultural Imagery Program (NAIP) near infrared digital aerial images. The images have a one meter ground sample distance with a horizontal accuracy that matches within three meters of a reference ortho image. The ortho images used for accuracy referencing are mosaicked digital ortho quarter quads (DOQs) that are used by the USDA to digitize common land unit boundaries for the Farm Service Agency. The horizontal ground sample distance of reference digital orthophoto quarter-quadrangles is also 1 meter. DOQ Standards state that digital orthophoto quarter-quadrangles are to meet 1:12,000 scale National Map Accuracy Standards. The standards specify that 90 percent of the well-defined features are to be within 33.3 feet (1/30 inch) of the true mapped ground position.
The NAIP images will be obtained from the Missouri Spatial Data Information Service (MSDIS) through links to their storage location at the University of Missouri-Columbias Interdisciplinary Center for Research in Earth Science Technologies (ICREST). The images are provided as countywide mosaics that are cast in a NAD83 Universal Transverse Mercator (UTM) Projection for Zone 15 in units of meters. They are provided as compressed image files using Lizard Techs Mr. Sid compressed image format.
Images of the project area will be cropped from the NAIP images of Shannan, Texas, and Howell counties. ER Mapper software will be used to mosaic the images into a single image using ER Mappers ECW compressed image format. The image will be re-projected to match the state plane projection of the GIS project and color adjusted to provide a more natural green appearance
Topographic data for the GIS will be derived from 1:24000 scale USGS digital line graph (DLG) hypsography. The DLG data is provided by the USGS in a Universal Transverse Mercator (UTM) Projection for Zone 15 using the North American Datum of 1927 (NAD27) in units of meters. The data will be re-projected to match the state plane projection of the GIS project.
The DLG data is provided as files that are digitized from 7.5-minute topographic quadrangle maps that are normally compiled to meet 1:24000 scale National Map Accuracy Standards. DLG standards specify that the positional error for DLGs is to be less than or equal to 0.003 inches standard error, in both the x and y component directions, relative to the source that was digitized.
DLG standards state that DLG elements located within 0.020 inches of each other at quadrangle edges may be altered using edge alignment routines that snap together corresponding node and line elements with a maximum positional adjustment of 0.010 inches. However, it is common that contour lines at the edges of DLGs are not edge matched and random errors and differences in interpretation are usually found.
Edge matching for this project will be accomplished by individually snapping the end nodes of corresponding contour lines. Corrections or adjustments to the data during edge matching will be made at the discretion of the GIS technician and the GIS quality control supervisor. After connecting the contour polylines of the individual DLG quadrangles, the polylines will be dissolved into a single ESRI shapefile with each continuous contour line represented by single record in the attribute file.
A digital elevation model (DEM) consisting of a raster grid of regularly spaced elevation values will be derived from the processed hypsography. The DEM will be developed with a grid resolution of ten feet. The DEM will be used to generate a shaded relief image of the basin with a pixel resolution of five feet.
Stream centerline data will be developed by modifying data from the National Hydrography Dataset (NHD). The NHD data is provided by the USGS in a Universal Transverse Mercator (UTM) Projection for Zone 15 using the North American Datum of 1927 (NAD27) and units of meters. The data will be re-projected to match the state plane projection of the GIS project.
NHD data is produced at a scale of 1:100,000 and will need to be refined to meet the scale of mapping for this project. This will be accomplished by editing the vertices of the stream polylines to match the stream channel positions shown on the NAIP image. In areas where the channels are obscured or not well defined on the imagery, the stream polylines will be edited to conform to the hypsography data. Additional stream centerline features for upper tributaries may be added where needed.
NHD attribute data will be retained for the individual polyline segments representing stream reaches. The segment lengths will be recalculated after modifying the stream polylines. An additional attribute field will be added to classify the final stream order according to the Strahler stream order model.
Road Centerline Data
Road centerline data will be obtained from the Missouri Department of Transportation through the Missouri Spatial Data Information Service. The Missouri Roads data file originated from 1980-DIME data, which was later updated with 1995 TIGER files from the US Census Bureau. The coverage is updated monthly utilizing design plans, GPS, DOQQ and county and city maps. Spatial resolution of this data is generally considered 1:100,000, though updates are frequently made using much more accurate means (ex. GPS, DOQQ). The data is provided in a NAD83 Universal Transverse Mercator (UTM) Projection for Zone 15 in units of meters. The data will be re-projected to match the state plane projection of the GIS project. The data will be refined to meet the scale of mapping for this project by aligning the road segments with road positions shown on the NAIP imagery.
Geographic Names Information System
Point data from the Geographic Names Information System will be included to indicate significant landmark features. The Geographic Names Information System (GNIS), developed by the U.S. Geological Survey in cooperation with the U.S. Board on Geographic Names (BGN), contains information about physical and cultural geographic features in the United States and associated areas, both current and historical, but not including roads and highways. Accuracy of the GNIS data is based upon the use of source graphics which are compiled to meet National Map Accuracy Standards. Comparison to the graphic source is used as control to assess digital positional accuracy. The list of sources is provided in the metadata file. The point positions are provided as NAD83 decimal degree geographic coordinates. The points will be projected to match the state plane projection of the GIS project.
The digital file county boundaries will be obtained from the Missouri Spatial Data Information Service. The data is produced by the Center for Agricultural, Resource and Environmental Systems (CARES) at a scale of 1:24:000 and is provided in a Universal Transverse Mercator (UTM) Projection for Zone 15 using the North American Datum of 1983 (NAD83) and units of meters. The data will be re-projected to match the state plane projection of the GIS project.
Municipal boundaries will be obtained from Tiger Line 2000 files produced by the U.S. Census Bureau. The data is provided in NAD83 decimal degree geographic coordinates. The data will be projected to match the state plane projection of the GIS project. The positional accuracy of the files is for 1:1000,000 scale mapping. Although this data does not meet the scale of mapping for this project and is not considered current, it will be included as supplemental data and amended with local municipal data where available.
Public Land Survey System
The digital file for the public land survey system (PLSS) grid containing sections with township and range attributes will be obtained from the Missouri Spatial Data Information Service. The data is produced by the Center for Agricultural, Resource and Environmental Systems (CARES) at a scale of 1:24:000 and is provided in a Universal Transverse Mercator (UTM) Projection for Zone 15 using the North American Datum of 1983 (NAD83) and units of meters. The data will be re-projected to match the state plane projection of the GIS project.
7.5 Minute Quadrangle Boundaries
The digital file for 7.5 Minute Quadrangle Boundaries will be obtained from the Missouri Spatial Data Information Service. The data is produced by the University of Missouri Geographic Resources Center at a scale of 1:24:000 and is provided in a Universal Transverse Mercator (UTM) Projection for Zone 15 using the North American Datum of 1983 (NAD83) and units of meters. The data will be re-projected to match the state plane projection of the GIS project.
Boundaries for the watershed and the sub-basins of major tributaries will be developed through automated techniques using the project DEM. The file will be produced as a polygon file that will included attributes for the name and area of each sub-basin. Quality will control will include inspection and adjustment of the boundaries to correct errors produced by the automated process. The data will be produced in the state plane projection of the GIS project.
USGS Stream Gages
The digital file USGS Stream Gages will be obtained from the Missouri Spatial Data Information Service. The data is produced by the USGS at a scale of 1:24:000 and is provided in a Universal Transverse Mercator (UTM) Projection for Zone 15 using the North American Datum of 1983 (NAD83) and units of meters. The data will be re-projected to match the state plane projection of the GIS project.
Sinkhole data will be collected and processed as described in Section B1 below. Point location data will be collected using a WAAS enabled GIS receiver capable of recording locations to within 10 meters (33 feet) of the true location.
Polygon data for the sinkholes will also be produced through automation from the hypsography data or through digitizing the aerial photography or from the field data sketches. Attribute data from the point data file will be transferred to this file.
All sinkhole data will be produced in the state plane projection of the GIS project. Metadata files will be provided as described in Section A9 below.
DataDye tracing data will consist of GIS data layers for the dye injection points, dye recovery points, and dye path lines. The injection and recovery points will be collected using a WAAS enabled GIS receiver capable of recording locations to within 10 meters (33 feet) of the true location. Attributes will include dye injection and recovery dates and travel times.
The dye trace data will be collected and processed as described in Section B1 below. The data will be produced in the state plane projection of the GIS project.
Supplemental GIS Data
Additional data not that is not directly involved in the development and representation of the topographic and hydrographic model will be included as supplemental data. The data may include themes such as water wells, landfills, NPDES discharge points, state and federal land boundaries, and geologic data. Most of this data is produced at a scale of 1:100,000 and will need to be re-projected to match the state plane projection of the GIS project. Metadata files will be provided with all supplemental data to document the origin, modification, and map accuracy of the data.
GIS Project coordination will be directed by Mark Phillips, R.G.
Mark Phillips is a registered professional geologist with over 22 years of experience in producing map cross-sections, computer models, and technical reports involving geologic and geophysical data. Marks experience includes nine years of work in civil engineering and hydrogeology, and eight years experience as the owner/manager of a GIS consulting and Internet map services company. Mr. Phillips is the principle owner and CEO of I-Maps Data Systems, L.L.C. He is in charge of all aspects of the companys development, management, and marketing of GIS and Internet map service projects.
GIS data processing will be accomplished by Tom Mangan.
Tom Mangan is a database developer with 4 years experience in relational database development, database management, and web-database integration using Oracle, Sybase, and MySQL. His experience includes development and operation of high-traffic, high-server-utilization websites running under both Windows and Linux operating systems. Mr. Mangan currently develops GIS databases for custom integration into I-Map Data Systems Internet map server applications.
Data storage and retrieval will be managed by Dennis Sparrow.
Dennis Sparrow is the systems administrator for I-Maps Data Systems.
GIS / GPS technicians will be experienced or trained in using ArcView and ER Mapper software and the handheld GPS equipment. The technicians will be trained on the technical aspects of transferring data from field data collection equipment to GIS computers and the conversion of field drawings and field notes into digital format. No special certification is required for the use of the GPS equipment.
Field personnel shall have background knowledge of karst geomorphology, karst hydrology, and the geologic processes and controls involved in the development of karst features. Field personal will be experienced or trained in the identification and classification karst features and will be instructed to use consistent standard nomenclature for describing karst geologic features and related landforms. The field personnel will be trained to work with the specified field data report forms and instructed on how to represent and note significant features on field drawings. They will also be instructed on the data entry types, options, or values for the various GIS theme feature attributes. The field personnel will be informed about the meaning of each attribute field for the various GIS themes and the significance of how the data will be used for final display and analysis.
Digital geospatial data compiled from sources outside the project will be accompanied with metadata produced by the original sources. The source, quality, and history of the data will be described as in Section A7 above. Digital data produce through the project will be accompanied by metadata that meets the content standards for geospatial metadata set forth by the Federal Graphic Data Committee. The metadata will include descriptions of data fields, data types, and coding schemes used in theme attribute tables.
The metadata will document processes involved in the production, manipulation, and modification of all data files included in the GIS project and will provide an accuracy assessment of each file.
A final report describing the resulting GIS and results of the GPS mapping and dye trace information will be produced. Copies of the metadata files for all the geospatial data produced and utilized in the project will be included in the appendix of the report.
Section B - Data Acquisition / Measurement
Sampling Process Design
Point data for the location of sinkholes will be produced through field GPS data collection. Descriptions of the features will be recorded on field mapping sheets and photographs will be recorded with a digital camera.
The point location data will be collected using a WAAS enabled GIS receiver capable of recording locations to within 10 meters (33 feet) of the true location. Attribute data will be entered or collected automatically through automated GIS / GPS mapping equipment. Data collected automatically will be derived from GIS data produced for the project. Data derived through automation will include the NAD83 State Plane coordinates, the county name, watershed sub-basin name, section, township, range, quadrangle name, and date of visit. Data collected through data entry will include the land owner name and address, the id numbers of associated photographs, the host geologic formation name, the major axis length, minor axis width, depth, area, major axis orientation, drainage ability, floor characteristics, and associated remarks.
Data collected in the field will also include sketch maps of the sinkholes recorded on field data collection sheets as shown on the following page. Attribute data will also be recorded on this form in the field or transferred to the form from the GIS/GPS data collection unit in the office.
Sampling and Image Acquisition Methods
The locations and associated data for sinkholes and other significant features will be recorded using an automated GPS/GIS field mapping system. GIS base map data will be transferred to the mobile GPS/GIS mapping system. The location of known targets for mapping will be entered or marked in the system. The GPS/GIS mapping system will be used to navigate to the known targets. At the target locations, points will be recorded for the actual center point of the target features. Data will be automatically extracted to the point data attribute fields from the pre-existing GIS data layers as described in section B1 above. Additional data, as described in Section B1, will be entered through data entry forms.
Measurement of the size and shape of sinkholes will be determined by taking GPS measurements around the rim or taking measurements with laser a laser range finder. A compass bearing parallel to the major axis of the sinkholes will be recorded. Photographs will be taken with a digital camera and the photo id numbers will be recorded in the GPS/GIS system.
A sketch of the sinkhole will be drawn on the sinkhole data collection forms provided. Attribute data may be written on the sinkhole form in the field or transferred to the electronic version from the GPS/GIS system later in the office.
Sample Handling and Custody
Field data will be digitally transferred from the GPS/GIS data collection system to the GIS computers in the office through connection methods provided by the equipment manufacturer.
The field technician who collected the data will transfer the data. Data will be checked in the GIS system for completeness and accuracy by the field technician.
Photographs will be downloaded to the GIS system through connection methods provided by the equipment manufacturer. The photographs will be linked to the target center points in the GIS.
The sketches on the sinkhole forms will be scanned to form electronic versions. The images will be included in electronic versions of the form. Attribute data that appears on the electronic versions will be digitally transferred from the GIS or manually entered from the data recorded on the original field sinkhole forms. The resulting electronic version will be linked to the target center points in the GIS.
No analytical methods will be required for the data acquisition process.
Data acquisition will be accomplished in the field with a GPS/GIS field mapping system that will provide a screen display of the GIS base data. This will allow the acquired GPS data points to be checked and validated in the field against features which are visible on the topographic and aerial photograph data layers. Visible targets shall be identified and used to check the positional accuracy of the equipment as each area is mapped. If positional errors are detected against targets visible in the GIS, then the GPS unit will be checked and recalibrated at that time.
GPS point attribute that is automatically extracted from the underlying GIS base layers in the GPS/GIS data collection system will be displayed at the time of collection. The field technician will be able to observe and validate the correctness of the data in the field. If errors are detected in the attribute data, the correct data for the point will be keyed in and notes will be made to correct the error in the overall GIS system.
Instrument / Equipment Testing, Inspection, and Maintenance
As stated in Section B-5, units will be checked each day against each other to ensure that they are calibrated and providing consistent readings by taking readings on known points. Records will be maintained of any variances and unit service.
Instrument Calibration and Frequency
The GPS instruments are automatically calibrated each time the units are turned on. Quality control procedures will be followed as stated in Section B-5. The GPS receivers's PDOP is an indication of how accurate the GPS receiver is providing information. These values will be continuously monitored and recorded at each site.
Inspection / Acceptance for Supplies and Consumables
Batteries will be checked for the GPS receivers before commencing fieldwork. Batteries for each GPS receiver be fully charged. Backup batteries also be charged and ready to go prior to fieldwork. The GPS subscription service will be checked to ensure the Digital Global Positioning System corrections will be complete.
Data Acquisition Requirements
All pre-existing data that is acquired for the project will be accompanied with metadata to document the source and accuracy of the data. Alterations, adjustments, and amendments to the pre-existing data will be documented in amended versions of the original metadata files.
The GPS/GIS data collection system used for collecting point locations will be tested and calibrated as specified in Section B. Procedures specified in Section B will be implemented to provide quality control for GPS data collection. Documentation of the procedures used to calibrate the equipment and acquire the GPS data will be documented in the final report and in the metadata files for the acquired data. The metadata files will conform to the content standards specified for geospatial metadata by the Federal Geographic Data Committee.
GPS point data and associated attributes will be recorded and stored in the mobile GPS/GIS data collection system in ESRI shapefile format using ESRI ArcPad software. This file format is the same format used by the ESRI ArcView software used for the GIS system. The files will be consistent with the attribute field structure and projection of the ArcView GIS system, so no post-processing will be required for the shapefiles. The shapefiles created in ArcPad shall be named sinkholes with date appended in the form sinkholes_mm_dd.shp. The data will be downloaded as independent files that will be stored in a specified directory. The files will be merged with the cumulative sinkhole data set using a merge command in ArcView.
Photographs will be downloaded and stored in a specified photos directory. The photo numbers will be compared to the photo numbers recorded for each point location in the shapefile. The photo file names will be renamed to correspond to the point id number and the photo number in the form Sinkhole_PointID_PhotoNo.jpg.
Sinkhole data collection forms will be scanned in the office and cropped to just the sinkhole sketch area. The sketch images will be saved as gif image files and sotred in a specified sketches directory. The files will be named with the point id number in the form Sinkhole_PointID.gif.
Electronic versions of the sinkhole data collection forms will be created in the office from the shapefile attribute data and the scanned sinkhole sketches. The process will be automated through a Visual Basic program written to recreate the forms as HTML pages. The HTML pages will be named to correspond to the point id numbers on the form Sinkhole_PointNo.html. The HRML page creation program will reference the directories where the sketch images and the photographs are stored to include them in the page. Some editing of the individual pages will be required to add descriptions and remarks written in the field. The final pages will be checked against the field forms and shapefile attributes for correctness. The resulting pages will provide a final form for the sinkhole information including all the attribute data, the sinkhole sketches, and the associated photographs.
A hotlinking script will be provided by the ArcView to link the HTML pages to the sinkhole points in ArcView. This will allow ArcView GIS to be the primary means for accessing the sinkhole reports.
The structure final HTML sinkhole report pages shall be made for printing on 8.5 x 11.0 sheets of paper where the sinkhole data and sketch appears on the initial page and photos are printed on the subsequent page(s). The printed pages will be the final hard copy form of the sinkhole data.
Section C - Assessment and Oversight
Assessments and Response Actions
The GIS QA/QC Supervisor, Mark Phillips, shall make performance evaluations weekly throughout the data collection period. GPS data points for sinkholes will be checked against targets visible on the topographic and aerial image data layers. Attribute values will be reviewed and checked for completeness and accuracy. Sinkhole sketches will be evaluated for consistency in content and detail.
If errors appear in the locational accuracy of positional data points, further testing and calibration against established survey benchmarks will be requested. If inconsistency or errors are discovered in the attribute data, instructions will be given on how to enter the data and any automated processes will be adjusted or reprogrammed as necessary. If sinkhole sketch diagrams are deficient or inconsistent in content and quality, instructions will be provided on how to maintain consistency.
Reports to Management
Top of the Ozark Resource Conservation and Development Inc. will submit quarterly progress reports to the EPA. The Principal Investigator will submit a final project report to the EPA Project Officer. This report will include a complete discussion regarding appropriate use and limitations of the data in terms of quality.
Section D - Data Validation and Usability
Data Review, Verification, and Validation
The base data layers in the GIS are formed by the topographic and aerial image data layers. The quality of this data will be reviewed as it is processed to look for errors related to contour manipulation at the edge of quadrangle boundaries, DEM generation, and mosaicking problems related to the individual DEM and aerial photography tiles. These layers will be checked and adjusted for positional accuracy as described in section D-2. All other data layers will be adjusted to conform to these base data layers.
Attribute data will be validated and reviewed as specified below in Section D-2.
Verification and Validation Methods
The GPS/GIS data collection system will be used to check the positional accuracy the base topographic and aerial image data layers at the beginning of the field data collection process. Well defined targets that are visible on these data layers will be checked with GPS measurements after the equipment is checked and calibrated against established survey benchmarks. The data layers will be adjusted to match the coordinate data established by the GPS data if necessary. These layers will then be considered to be highly accurate and postionally validated data layers that can be used to evaluate the positional accuracy of the sinkhole data points as they are collected throughout the remainder of the project. Since the GPS/GIS system will allow the base GIS data layers to be viewed in the field, the GPS point data can be checked against visible targets as the data is collected. The data will also be checked in the final GIS to look for positional discrepancies.
Attribute data that is extracted to the sinkhole center points will be viewed and validated in the field. If necessary, corrections will be made as described in Section B-5. Attribute data that is entered in the field will be reviewed in the final GIS by the GIS QA/QC supervisor for errors and completeness.
Reconciliation with User Requirements
The verification and validation methods that are applied will be documented in the final report for the project. Processes and adjustments made to the geospatial data files will be noted in the metadata files that accompany each file. The metadata files will be included in an appendix of the report. Analysis and review of the geospatial data and the final GIS will be described in the final report. The final report will document whether the final data meet, do not meet, or partially meet the quality objectives set out in Section A-7.