U.S. Geological Survey 2006 vector digital data http://sofia.usgs.gov/exchange/jjones/jjones.html The data sets consist of two files, an ESRI shape file with associated files and an ESRI export file, of a composite of soil maps for Miami-Dade County, Florida issued by the Soil Conservation Service in April, 1958. The data is at 1:40,000 scale. This update of the Miami-Dade County soils map released in 2001 includes an attribute table for the soils polygons included in the spatial data layer. These data may be useful for historic environmental analysis that requires information on soils and vegetation characteristics. The U.S. Geological Survey (USGS) Eastern Geographic Science Center (EGSC) developed a means for digitizing and attributing historic soil survey data for GIS analysis. Procedures used to produce this data file are documented in Jones, John W. 2006. Creation of GIS-compatible, historic detailed soil data for Collier and Miami-Dade Counties, Florida. USGS OFR-2006-1315 1947 ground condition Complete None planned -81 -80 26 25 none soils geology mapping vegetation ISO 19115 Topic Category environment geoscientificInformation imageryBaseMapsEarthCover 007 008 010 Department of Commerce, 1995, Countries, Dependencies, Areas of Special Sovereignty, and Their Principal Administrative Divisions, Federal Information Processing Standard (FIPS) 10-4, Washington, D.C., National Institute of Standards and Technology United States US U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST Florida FL Department of Commerce, 1990, Counties and Equivalent Entities of the United States, Its Possessions, and Associated Areas, FIPS 6-3, Washington, DC, National Institute of Standards and Technology Miami-Dade County none South East Coast Central Everglades none These data should be used for purposes commensurate with the information content and accuracy of the data. Techniques described in the process description should be viewed as suggestions only. Because source graphics vary in color and quality and because scanners vary between manufacturers, it is highly unlikely that the techniques described will achieve the same results in all circumstances. This project will however, describe several basic tools and techniques to use these tools that, with some trial and error and experimentation, will improve productivity. This documentation describes methods used to collect linear map features. The same commercial products could be used to collect polygon features. However, some different tools and techniques would be used. Polygon delineation, though obviously important, will not be described here. The methods used to complete this project were developed out of necessity. Time constraints imposed on the data collection process mandated that innovative solutions be developed in order to meet these time constraints. John W. Jones U.S. Geological Survey mailing address

521 National Center

Reston VA 20192 USA 703 648-5543 703 648-4165 jwjones@usgs.gov http://sofia.usgs.gov/exchange/jjones/mm-dade_soils_maps-browsemap.jpg image of the composite vintage soil maps for Miami-Dade County with legend for soil types JPEG Daniel Sechrist of the USGS Eastern Geographic Science Center (EGSC), developed the techniques used to create the GIS layers. Attribute data for the vector polygons were created by John W. Jones, USGS, EGSC. The original maps were produced by the USDA Soil Conservation Service in cooperation with the Florida Agricultural Experiment Station. Ideal 48 inch pinch roll scanner for scanning the original maps, Adobe Photoshop for image processing, ESRI ARC 7.2.1 for spatial data files, and ArcGIS 9.2 for attribute data. Any use of trade, product, or firm names is for descriptive purposes only and does not constitute endorsement by the U.S. Government Gallatin, M. H. Ballard, J. K., Evans, C. B., Galberry, H. S., Hinton, J. J., Powell, D. P., Truett, E., Watts, W. L., Willson, G. C., Leighty, R. G. 1958 report Soil Survey - Detailed Reconnaissance Series 1947, No. 4 Washington, DC USDA Soil Conservation Service Prepared in cooperation with the Florida Agriculture Experiment Station Jones, John W. 2006 report USGS Open-File Report 2006-1315 Reston, VA U.S. Geological Survey http://sofia.usgs.gov/publications/ofr/2006-1315/ All attribute information provided in the original reports were assigned to the polygons. All lines in the raster file created by scanning the paper maps were inspected for connectivity. Broken line segments resulting from dashed line symbology in the source maps were connected as necessary. The data are topologically clean. All polygons in the source maps are captured in the data sets. All attribute information provided in the original reports were assigned to the polygons. not available U.S. Department of Agriculture 195804 map Soil Survey Detailed Reconnaisance Series 1947, No. 4 Washington DC USDA Soil Conservation Service Prepared in cooperation with the Florida Agricultural Experiment Station 40000 paper 1947 ground condition Miami-Dade1 Provided maps of soil intepretations as of 1947 U.S. Department of Agriculture 195804 map Soil Survey Detailed Reconnaissance Series 1947, No. 4 Washington, DC USDA Soil Conservation Service Prepared in cooperation with the Florida Agricultural Experiment Station 40000 paper 1947 ground condition Miami-Dade2 Provided maps of soil intepretations as of 1947 U.S. Department of Agriculture 195804 map Soil Survey Detailed Reconnaisance Series 1947, No. 4 Washington, DC USDA Soil Conservation Service Prepared in cooperation with the Florida Agricultural Experiment Station 40000 paper 1947 ground condition Miami-Dade3 Provided maps of soil intepretations as of 1947 U.S. Department of Agriculture 195804 map Soil Survey Detailed Reconnaisance Series 1947, No. 4 Washington, DC USDA Soil Conservation Service Prepared in cooperation with the Florida Agricultural Experiment Station 40000 paper 1947 ground condition Miami-Dade4 Provided maps of soil intepretations as of 1947 U. S. Department of Agriculture 195804 map Soil Survey Detailed Reconnaisance Series 1947, No. 4 Washington, DC USDA Soil Conservation Service Prepared in cooperation with the Florida Agricultural Experiment Station 40000 paper 1947 ground condition Miami-Dade5 Provided maps of soil intepretations as of 1947 U.S. Deparment of Agriculture 195804 map Soil Survey Detailed Reconnaisance Series 1947, No. 4 Washington, DC USDA Soil Conservation Service Prepared in cooperation with the Florida Agricultural Experiment Station 40000 paper 1947 ground condition Miami-Dade6 Provided maps of soil intepretations as of 1947 U.S. Department of Agriculture 195804 map Soil Survey Detailed Reconnaisance Series 1947, No. 4 Washington, DC USDA Soil Conservation Service Prepared in cooperation with the Florida Agricultural Experiment Station 40000 paper 1947 ground condition Miami-Dade7 Provided maps of soil intepretations as of 1947 U.S. Department of Agriculture 195804 map Soil Survey Detailed Reconnaisance Series 1947, No. 4 Washington, DC USDA Soil Conservation Service Prepared in cooperation with the Florida Agricultural Experiment Station 40000 paper 1947 ground condition Miami-Dade8 Provided maps of soil intepretations as of 1947 U.S. Department of Agriculture 195804 map Soil Survey Detailed Reconnaisance Series 1947, No. 4 Washington, DC USDA Soil Conservation Service Prepared in cooperation with the Florida Agricultural Experiment Station 40000 paper 1947 ground condition Miami-Dade9 Provided maps of soil intepretations as of 1947 U.S. Department of Agriculture 195804 map Soil Survey Detailed Reconnaisance Series 1947, No. 4 Washington, DC USDA Soil Conservation Service Prepared in cooperation with the Florida Agricultural Experiment Station 40000 paper 1947 ground condition Miami-Dade10 Provided maps of soil intepretations as of 1947 U.S. Department of Agriculture 195804 map Soil Survey Detailed Reconnaisance Series 1947, No. 4 Washington, DC USDA Soil Conservation Service Prepared in cooperation with the Florida Agricultural Experiment Station 40000 paper 1947 ground condition Miami-Dade11 Provided maps of soil intepretations as of 1947 U.S. Department of Agriculture 195804 map Soil Survey Detailed Reconnaisance Series 1947, No. 4 Washington, DC USDA Soil Conservation Service Prepared in cooperation with the Florida Agricultural Experiment Station 40000 paper 1947 ground condition Miami-Dade12 Provided maps of soil intepretations as of 1947 The deliverables for a USGS South Florida PBS (Place Based Studies) project were GIS data layers derived from vintage soils maps. Twelve, 30-minute by 15-minute, 1:40,000-scale maps covered Miami-Dade (Dade) County. Two GIS layers were created for Miami-Dade County. Scanning the Maps: The scanner was an Ideal 48 inch pinch roller scanner. The Ideal scanner came with proprietary image processing software. However, the Ideal software was not used, because using the proprietary software would make the scanner unavailable to other users. Adobe PhotoShop was available on workstations and was a familiar tool to the data collection team. Consequently, PhotoShop became the selected image processing software. Initially, the maps were scanned at 400 Pixels Per Inch (PPI). This preserved the greatest amount of graphic detail but resulted in files that were too large to be practical. For the larger maps stored with 24-bit image depth, file sizes were in the neighborhood of 500 megabytes. These 400 PPI images were saved for archival purposes only. The images used to extract the graphic features were resampled. Initial Processing: In Photoshop the 400 PPI images were resampled to 200 PPI. The maps could have been rescanned however, there was virtually no time savings to be gained by rescanning so the images were resampled to produce the 200 PPI images. At this point in the processing it is necessary to view the color pallet and select an easily distinguishable and contrasting color to the majority of the colors in the scanned image. By using one of the "Paint Brush" tools or "Pens" it is necessary to place a moderately large swatch of this color in the margin of the image. An ideal location for this swatch is in the upper left corner of the image. This swatch will serve more than one purpose the second of which will be described in greater depth later in this document. Further processing can now be done to change the images "Mode" to 8-bit "Indexed Color". By converting the image from 24-bit to indexed color, the image file size was dramatically reduced. The "Indexed Color" image should be viewed. The contrasting swatch should be visible and in an acceptable color. If the color of the swatch has changed and is no longer unique, the painted area should be made larger so that it is not changed during the indexing process. The number of unique colors in the image is now reduced from potentially millions to approximately 25. The number 25 was selected as the number of unique colors to be retained in the output image. This number was somewhat arbitrarily selected, but represents roughly twice the number of unique colors used to print the original maps. The intent of indexing the colors is to reduce the colors in the image to a manageable level while not reducing them to the point where similar colors begin to coalesce. For instance, the image will now have more than one color of blue, but it will not have many more than perhaps four or five. The same should be true of all of the other colors in the image, there may be more than one shade of black but the color black is stored separately from blue. Colors should be distinguishable. The contrasting color added to the margin should be present and unique. Once satisfied with the pixel size, the number of colors, and the presence of a unique user added color, feature processing can begin. Save this image with a new image name. Set-up and Color Manipulations: Before beginning the feature extraction process some Photoshop parameters need to be set. Click on the "Selection Tool", look for the "Magic Wand". In the "Magic Wand Options" window, set the tolerance to 1 and make sure the "Anti-Aliased" box is not checked. For this project, virtually all of the polygons to be collected were bound by black outlines. Therefore, the color black is the color that needs to be distinguishable from all others. If there appears to be a great number of pixels that are not black but should be black, they should be changed now. Most of the time all of the colors are well defined and distinguishable so that they can be processed without additional color manipulations. Sometimes though, the color of pixels changes slightly where color changes on the map occur. For instance, where a black line borders a white area, some of the pixels may have been stored as gray. With the Magic Wand select a gray pixel that should have been black. Notice that all adjacent pixels of the same color are also highlighted. From the "Select" pull down menu choose similar. All pixels of that color will be highlighted. With the "Hand Tool" scroll through the image to evaluate whether or not these pixels should be changed to black. Assuming that some gray pixels should be converted to black, click on the "Eye Dropper" tool. With the Eye Dropper a new foreground color can be chosen. Select black as the new foreground color from either the color pallet window or from the image. To change the gray pixels to black, click on "Fill" from the "Edit" pull down window. Use the "Foreground Color" and select "OK". All of the gray pixels that should be black have been changed to black. Assuming that either the colors were acceptable as scanned or that similar colors were converted, processing can continue. Creating an Image Overlay: With the "Magic Wand" select a black pixel. Notice that all adjacent black pixels will also be selected. Choose "Similar" from the "Select" menu. Notice that all of the black pixels are selected. Click on the "Select" pull down menu. Choose "Modify" then "Expand". In the dialog box enter "1" and click on "OK" to expand the selected set by one pixel. The selected set will now include all of the black pixels as well as any pixel that is within a radius of"1" from a black pixel. Click on the "Eye Dropper" tool and select the bright, contrasting color that was added to the image before converting the image to "Indexed Color". From the "Edit" pull down menu select "Fill" with foreground color and click on "OK". All of the selected pixels should have changed color. Save this image to a new name. There should be three versions of the image saved at this time. Image 1 should be the 200 PPI image with 24-bit color. Image 2 should be the 200 PPI image with 8-bit indexed color. Image 3 should be 200 PPI 8-bit, indexed color with all of the black line work, and probably text too, in the contrasting bright color. Overlaying the Images: Open both Image 2, the indexed color image and Image 3, the image with the brightly colored delineations. With the contrasting color image (Image 3) active, use the "Magic Wand" to select one of the brightly colored pixels. From the "Select" pull down menu, choose "Similar". All of the brightly colored pixels should be highlighted. From the "Edit" pull down menu, choose "Copy" to put the selected set into a buffer. Make Image 2 the indexed color image active. From the "Edit" pull down menu, choose "Pastel" to place the information that was stored in the buffer on top of the indexed image. Close Image 3 the contrasting color image. Remember to save Image 2 the indexed color image that now has the brightly colored selection pasted on top of it to a new file name so that none of the previous images are overwritten. Raster Editing: Before beginning to edit the combined image be sure that there is nothing selected. Click on the "Select" pull down menu and choose "Deselect". Edits will only be possible within the selected set. If nothing is selected, the entire image is editable. The image may appear somewhat messy. Text may be displayed in the bright contrasting color along with other features that would not be desirable in the final vectorized product. This technique relies strongly on the concept that it is much easier to delete elements that are not wanted than it is to add elements manually. With the "History Brush" tool selected choose a brush size that is comfortable from the "Brushes" pallet. By erasing all of the elements that are not to be vectorized with the "History Brush", what remains will be the line work for the raster to vector conversion. If line work is accidentally deleted, it can easily be recovered by going backward one step in the history pallet. If additional line work needs to be captured, it can be added by tracing over the image with a "Paint Brush" or "Air Brush" as long as it is added using the selected bright color. Line work should be inspected for connectivity. It may be necessary to connect broken line segments especially if dashed line symbology was used to produce the source graphic. This method of capturing line work may seem time consuming and laborious, it is! However, through experimentation and practice considerable time-savings can be achieved. Be sure to capture the neatline or corner tics. Without them geo-registration will not be possible. Miami-Dade1 Miami-Dade2 Miami-Dade3 Miami-Dade4 Miami-Dade5 Miami-Dade6 Miami-Dade7 Miami-Dade8 Miami-Dade9 Miami-Dade10 Miami-Dade11 Miami-Dade12 200011 Attribution Each survey contains descriptive text and tabular information about each soil type. To create the attribute information associated with each soil polygon, the tabular information was manually typed into an Excel file to take advantage of Excel’s forms completion capability. Soils suffixes were retained during the assignment of soil codes to polygons and the GIS was used to generate text files of all unique polygon identifiers or labels. These were used to hand edit the Excel files to make certain a record existed for every soil symbol/land cover class combination found in the digital soil map. Attribute information other than land cover class was copied from the table entry with the same soil symbol to each soil symbol/land cover combination with the same soil type. The data in the Excel worksheets were exported to text files and edited to remove embedded Excel codes, insert delimiters, and place quotations around all character data. Then, within the INFO component of ARC/INFO, attribute file templates were created for each survey. Two templates were required because the types and formats of attribute information in each original table were different. The text files were then imported into INFO to create the attribute data files. For the final processing step, the soils attribute data file was joined to the soils boundary data file using the "soils attribute field" (i.e., soil symbol combinations for Miami-Dade cases). The attribute data for the vector polygons were created by John W. Jones also of the USGS. 2006 John W. Jones U.S. Geological Survey mailing address

521 National Center

Reston VA 20192 USA 703 648-5543 703 648-4165 jwjones@usgs.gov Miami-Dade County Vector Complete chain 1943 Label point 988 GT-polygon composed of chains 988 Point 4 Universal Transverse Mercator 17 0.9996 -81 0 500000 0 Coordinate Pair 200 200 pixels per inch North American Datum of 1983 Geodetic Reference System 80 6378137 298.257 There are 49 differeent soil types for Miami-Dade County. Attributes for each polygon include: Soil (soil code), Name (soil name), Relief (relief class), Surface_Runoff (runoff class), Internal_Drainage (drainage class), D_2_Bedrock (depth to bedrock), Reaction (reaction potential), Land_Use (land use designation), and Principal_Veg (primary vegetation cover). The attributes for each soil code are defined in the extended attribute tables associated with the shapefile and are taken from USDA, 1958, Soil survey (detailed reconnaisance) of Dade County, Florida, Soil Conservation service Series 1947, no.4. The attribute table is available separately at http://sofia.usgs.gov/exchanget/jjones/Dade_soil_attributes.xls. Heather S.Henkel U.S. Geological Survey mailing address

600 Fourth St. South

St. Petersburg FL 33701 USA 727 803-8747 ext 3028 727 803-2030 hhenkel@usgs.gov Miami-Dade files No warrantees are implied or explicit for the data ESRI shape file 7.2.1 soils map for Miami-Dade County, FL The file must be unzipped before use http://sofia.usgs.gov/exchanget/jjones/mdade_shapefiles.zip The files may be downloaded from the SOFIA website ARCE unknown soils map for Miami-Dade County, FL The file must be unzipped before use 1.2 http://sofia.usgs.gov/exchanget/jjones/mdade_hsoils_e00.zip The files may be downloaded from the SOFIA website MS Excel The file contains the attributes for each soil code http://sofia.usgs.gov/exchanget/jjones/Dade_soil_attributes.xls The file may be downloaded from the SOFIA website none 20090922 Heather Henkel U.S. Geological Survey mailing and physical address

600 Fourth Street South

St. Petersburg FL 33701 USA 727 803-8747 ext 3028 727 803-2030 sofia-metadata@usgs.gov Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 none This metadata record may have been copied from the SOFIA website and may not be the most recent version. Please check http://sofia.usgs.gov/metadata to be sure you have the most recent version.