Digital Mapping Techniques '97
U.S. Geological Survey Open-File Report 97-269

Use of Raster Imagery and Vector Data in Support of a Geologic Mapping Project

By Barbara J. Stiff

Geospatial Analysis and Modeling Section

Illinois State Geological Survey

615 East Peabody Drive

Champaign, IL 61820

Telephone: (217) 244-2510

Fax: (217) 333-2830

e-mail: stiff@celadon.isgs.uiuc.edu

INTRODUCTION

The Illinois State Geological Survey is expanding its geologic mapping program for 7.5-minute quadrangles in the state. The Vincennes quadrangle, started this fiscal year, is one of two study areas chosen to test and/or determine new mapping procedures. One of these new procedures is incorporating multidisciplinary data exchange and GIS methods at the initiation of the mapping process, beginning with the field scientist. This paper discusses the procedures used to produce 1:24,000-scale working maps that combine U.S. Geological Survey (USGS) Digital Raster Graphic (DRG) and Digital Orthophotoquadrangle (DOQ) base data with vector format overlays using Arc/Info software.

At the ISGS, digital data have been utilized in geologic mapping and map production for some time. We maintain an extensive database that includes geologic information from water wells, oil and gas wells and coal, structural and engineering test borings. Logs of water well drillers provide descriptions of unconsolidated materials above bedrock. Logs of borings described by geologists and/or engineers provide quality control. The well data are housed on a VAX 3800 running Oracle RDBMS. Other geologic and cultural vector-based data (such as bedrock geology, bedrock aquifers, Quaternary geology, coal resources, the public land survey grid, municipal boundaries, etc.) are housed in a distributed computing environment consisting of Sun workstations running Solaris and OpenWindows. This computing system supports advanced earth science and mapping applications such as Arc/Info, PCI, and Earthvision, as well as common business applications including WordPerfect, CorelDraw, e-mail, and Netscape Navigator. Most of the data were automated as state-wide coverages at scales of 1:500,000 or 1:250,000 (Greene, 1990).

The ISGS quadrangle mapping project databases are being compiled at 1:24,000, a much larger scale than 1:250,000. Because 1:24,000 is a standard mapping format, geologists are accustomed to using the base map data available on USGS 7.5-minute quadrangle maps. DRG and DOQ raster format data/imagery now provide digital, spatially referenced data at the 1:24,000 scale that can be used "as is," or for extraction of base map and derivative data.

The usual method for developing working/field maps has been manual transfer of historical data to USGS 7.5-minute quadrangle maps. Because of scale differences among the many resources (National Resources Conservation Service (NRCS) soil maps, archived field notes of previous research, figures from publications, driller's records, etc.) map compilation has been a time consuming, frequently repetitive process. For the Vincennes geologic mapping project, USGS DRG, DOQ and other raster format data were used: (1) to create a map base by adding points, lines and/or text, on top of the raster image, (2) to plot image and areal data (such as soil associations) in transparent format, (3) to plot vector data with raster data (such as water bodies) extracted from an image after it had been converted to Arc/Info GRID format, (4) to interactively convert selected data to vector format, and (5) to serve as a reference base to which user-scanned data (e.g., NRCS soil association maps) were registered using ground control points identifiable both on the DRG and on the image.

METHODS

To produce 7.5-minute quadrangle sheets for field verification maps, plotting raster data with point, line, text overlays was a straight-forward incorporation of the Arcplot image command in the Arc Macro Language (AML) file that generates the map. For example:


/* ..... map parameters

mapextent <pathname>/<filename> /* map area

mapunits meters /* unit of measure

mapposition ll .38 .73 /* location on the page

mapscale 24000 /* scale

/*..... map data

image <pathname>/<filename>.tif /* imagery

arclines <pathname/<filename> /* lines

pointmarkers <pathname>/<filename> 208 /* points

pointtext <pathname>/<filename> <field> /* text

/*..... end


In addition to plotting well points and identification codes or soil association groups on the DRGs, these text, point and line data were plotted on DOQ and National Aerial Photography Program (NAPP) raster format imagery. After the map extent and scale are set, the image command is issued followed by commands for appropriate vector data. Sequence is important. It is more efficient to write an AML assuming an opaque plotting format because the same file may be produced many ways--on a plotter (opaque or transparent), as a slide (opaque), or on screen (opaque). If text, points, lines, and area fills are plotted first, followed by imagery (or other area fills), the initial data will be overwritten by subsequent data as it plots (note that, in an image, white paper areas are also composed of value coded cells).

An image may be converted to Arc/Info GRID format depending upon the expertise or intentions of the user (e.g., to use analytical tools, to remap colors, or to create a plot) of the user. The standard color map for DRG data is:

 

Color

R

G

B

 

0

Black

0

0

0

text, miscellaneous lines

1

White

255

255

255

background

2

Blue

0

151

164

water bodies fill

3

Red

203

0

23

highways, land survey data

4

Brown

131

66

37

topographic lines

5

Green

201

234

157

wooded areas

6

Purple

137

51

128

overprint for disturbed ground

7

Yellow

255

234

0

non-standard (woodlands,
reservations, etc.)

8

Light Blue

167

226

226

water boundaries, lines or text

9

Light Red

255

184

184

municipal areas w/landmarks

10

Light Purple

218

179

214

extension of urban area

11

Light Grey

209

209

209

provisional urban

12

Light Brown

207

164

142

complex surface area

Note that rather than coding the background color (white) as 0, it is 1 and foreground text (black) is zero. This can be inconvenient when plotting a GRID format image. It is a three-step process to interchange the values for black and white cells in the GRID format image use the con command. The input grid (in-grid) is grid1. Step 1 opens an output grid (grid2) in which all in-grid cells with a value equal to 1 are set to 999; all other cells retain their original values. In step 2, grid2 becomes the in-grid. All in-grid cells with a value equal to 0 are set to 1 in the output grid (grid3); all other cells retain their input values. Step 3 opens an output grid (grid4) in which all grid3 cells with a value of 999 are set to 0; all other cells retain their in-grid values.

out-grid       in-grid values

step 1: grid2 = con ( grid1 == 1, 999, grid1)

step 2: grid3 = con ( grid2 == 0, 1, grid2)

step 3: grid4 = con ( grid3 == 1, 999, grid3)

Although a plot that contains solid area fills and imagery must be sent in transparent mode, a transparent effect can be achieved on the monitor for slides or demonstrations by using the Arcplot image command:

image <pathname>/<filename> TRANSPARENT 0

One way to remap colors, in Arc/Info, is to copy the value attribute table (*.vat) to a lookup table (*.lup) using:

copyinfo <gridfile>.vat <gridfile>.lup

additem <gridfile>.lup <gridfile>.lup symbol 3 3 i

Add the field "symbol" to the *.lup and set all values to zero except for the selected feature (i.e., topographic lines (4) in the following example):

gridname.vat

 

gridname.lup

Rec#

Value

Count

 

Rec#

Value

Count

Symbol

1

0

807783

 

1

0

807783

0

2

1

30723108

 

2

1

30723108

0

3

2

140292

 

3

2

140292

0

4

3

312763

 

4

3

312763

0

5

4

379627

 

5

4

379627

10

6

5

1401261

 

6

5

1401261

0

7

6

326482

 

7

6

326482

0

8

8

690254

 

8

8

690254

0

9

9

779983

 

9

9

779983

0

10

12

753567

 

10

12

753567

0

As an alternative, a new colormap file may be created and called when the command to print the grid is issued. For example:

gridpaint<pathname>/<filename> # # # <pathname>/<colormap file>

Sample Colormap File

Original file

 

Selected-features file

R

G

B

 

Value

 

R

G

B

255

255

255

 

0

 

255

255

255

0

0

0

 

1

 

255

255

255

0

151

164

 

2

 

255

255

255

203

0

23

 

3

 

255

255

255

131

66

37

 

4

 

0

0

0

20

234

157

 

5

 

255

255

255

137

51

128

 

6

 

255

255

255

255

2234

0

 

7

 

255

255

255

167

226

226

 

8

 

255

255

255

255

184

184

 

9

 

255

255

255

218

179

214

 

10

 

255

255

255

209

209

209

 

11

 

255

255

255

207

164

142

 

12

 

255

255

255

Conversion of lines from raster to vector format may be accomplished either interactively using Arcedit or semi-automatically using Arcscan. It is up to the user and the demands of a specific project to select the most appropriate method. In choosing between ArcScan and Arcedit extraction, the following factors should be considered:

1. the quality of the raster data (there will be varying amounts of hand digitizing even with automatic generation),

2. user experience with the software (Arcscan presents new users with a steep learning curve because its tools are complex and somewhat cryptic),

3. time limitations (Arcscan may be faster than Arcedit).

4. acceptable cartographic quality of both lines and polygons,

5. accuracy (some generalization may occur with Arcscan),

6. the scale at which the data will be used,

Interactive Arcedit extraction requires the usual Arcedit commands plus the image command (i.e., image <filename>.tif) which displays the DRG or DOQ. Initially, it may take a little time for the system to format the data, then the draw command causes the image to reappear each time the edit screen is refreshed/rescaled. The Arcedit session proceeds with the image as a background. The command image < off | on > may be used to turn the image off in order to speed the drawing time during editing, coding, etc. Since USGS DRG (<filename>.tif) files are associated with a world (<filename>.tifw) file, the lines, points, and/or polygons generated are added in "real space" because the image is georeferenced. If using an unreferenced image, ground control points in the image, such as road intersections, can be associated with "known" reference points in the DRG to transform data extracted from scanned imagery.

To start the Arcscan process, the raster image is converted to grid format (in Arc or Arctools). From the Arctools window select edit tools, file and open grid. The image will draw in false-color. To correct this, or to color only the cells from which vectors are to be generated, select display, draw env grid, and then choose an appropriate color format (gray scale, colormap.file, etc.). Select draw and the altered image will appear as a screen display that facilitates vectorization of the selected cells. Now select file coverage new, enter a name for the file, select arcs and then OK because a coverage must exist to hold the generated lines.

Vectorization parameters may be established in order to tailor the generation process to suit the particular job requirements. The tracing environment menu provides access to all properties that determine line and edit environment characteristics, mouse control, graphics, session termination, etc. Once a set of parameters has been entered, they may be stored in a file (*.vtp) for future use. A few basic metric settings (in the UTM projection) and their definitions might be:

Parameter

Unit

Definition

width

6.5

maximum size of connected cells that constitute a raster line

value

1

value ( from the *.vat ) of the line being traced

gap

15

maximum distance between raster line segments

dash

25

acceptable spacing of dashes in the raster line to follow

hole

1.5

ignores gaps in the raster line

fan angle

35

primary search angle for continuing a vector across a gap

second angle

100

secondary search angle for continuing a vector across a gap

variance

100

response to line width variations

To trace a line, select a starting point on a raster cell by positioning the crosshairs in the edit window and press the left mouse button. The arrow that appears does not point along the "line" but simply indicates a general direction that the trace will follow. To change the direction of the arrow press the middle mouse button, press the right mouse button to proceed with tracing.

PROCESSES USED AND
PRELIMINARY RESULTS

Color-averaging during the rasterization of the Vincennes quadrangle map resulted in a considerable loss of brown cells--the topographic lines. In addition, there are a large number of supplemental contours on the floodplain of the Wabash River. As a result, topographic lines from the DRG were vectorized "on-the-fly" in Arcedit using the color image as a background. Vectorizing, editing, and coding of the lines were accomplished in a single step.

Soils boundaries were extracted from scanned Lawrence County, Illinois, and Knox County, Indiana map sheets using a density slice procedure in PCI. These raster data were converted to vector format using Arcscan and registered using GCPs recognizable on both the DRG and scanned soils imagery. After the data are coded, updated by NRCS personnel, and field verified, they will be incorporated in the national soils inventory being compiled by NRCS.

The Vincennes DRG data were converted to grid format and remapped to produce four base grids that contain various combinations of original color cells whose use depends on the requirements of the final map product. The black and white areas were interchanged so that land survey information could be included to screen dump slides. Wooded areas were removed because they interfered with other colored data included on the soils and parent materials maps. The Wabash river boundary was updated using 1994 imagery. Considerable alteration had occurred in channel contours since the quadrangle map was last updated.

Three sets of 1:12,000-scale quarter-quadrangles were produced for initial field reconnaissance. The base data for the map sets were: 1988 NAPP-1 data, 1994 NAPP-2, and classified color Infrared (CIR). These maps cost $6.90 each to plot on a Hewlett Packard 750C ink jet plotter. Images produced at the 1:24,000-scale by a commercial vendor cost approximately $300.00 per print. The detail and quality of the plots and the "bird's-eye view" of the landscape with topographic and land survey data superimposed have been very helpful to geologists working in the field.

The imagery, plus various combinations of wells, soil groups, parent materials, and other base data have been plotted for presentation maps, field maps, slides, etc. At the completion of the Vincennes mapping project some of these maps and coverages will be written to CD for archiving and future data transfer.

REFERENCES

GIS by ESRI, 1994, Arc/Info Version 7 Commands Reference Volumes, Environmental Systems Research Institute, Inc.

Greene, A.V., 1990, Illinois Geographic Information System: An index to automated statewide databases, Illinois State Water Survey Circular 175.



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