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Map Layouts Prepared in TNTmips                     plans   imagery


Geomashups Using WMS Layers

Geomashups can include overlays displayed from remote Web Map Server (WMS) sites along with or instead of standard web tilesets. MicroImages has prepared several sample geomashups using WMS layers. Work is in progress to provide mouse-click feature information and legends for WMS layers in geomashups.

Alberta Geologic Map Data

These map layers hosted by the Alberta Geological Survey include a bedrock geologic map of the province (set here to be partially transparent), a separate layer with formation labels (which appear at higher zoom levels), points with labels showing locations of kimberlite pipes, and points showing industrial mineral occurrences.

Geomashups Using WMS Layers

Amazon Basin Land Cover This geomashup has three mutually-exclusive layers hosted by the Amazonica Initiative in Brazil: land cover, biomass, and projected extent of deforestation in the year 2020.

City of Philadelphia

This mashup uses data hosted by Pennsylvania Spatial Data Access (PASDA). Two image layers are set here to be mutually exclusive: 2008 Land Cover (partially transparent) and a 2010 Orthoimage. Two additional overlays show the 2012 bike network and the outlines of recreation parks.

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Geomashup Using Google Fusion Tables

This example demonstrates the use of Google Fusion Tables in a geomashup. Three of the map layers are accessed directly from Fusion Tables:

  • Lincoln Zoning (polygons)
  • Lincoln Bike Trails (lines),
  • and Lincoln Schools (points).

These layers are automatically shown with the map styles set up for them in the Fusion Tables interface. The pop-in information windows set up for each of these maps in the Fusion Tables interface are also shown in the geomashup when the viewer clicks on a map element. These layers are displayed here with:

  • a standard web tileset (Shaded Relief)
  • the proprietary Google Labels layer.

Any public Fusion Table map can be added to a Google Maps geomashup in combination with:

  • standard web tilesets,
  • SVG geometric tilesets,
  • KML geometric tilesets,
  • and KML files.

Map elements and their attributes in any TNT vector, CAD, or shape object can be exported to a Google Fusion Table using the Export process in TNTmips 2013DV.

View in:
 Google Maps

        - view using SVG
           tilesets

        - view using SVGZ
           tilesets

        - view using KML
           tilesets

 Google Earth Tour w/
       KML Vector tilesets

        - in browser

        - in desktop GE

Townsend Montana Geologic Map
(as 5 vector tilesets)

This geologic map is being displayed in Google Maps using a set of 5 SVG (Scalable Vector Graphic) tilesets containing polygons, lines, and points. The map data were downloaded from a USGS web site as shapefiles, imported to TNTmips as 5 vector objects, and styled to match the source map. TNTmips then converted the vector elements in each vector to styled elements in an SVG tileset along with associated attributes set by element DataTips.

The TNTmips interactive Geomashup feature was used to assemble the 5 SVG tilesets, sidebar with legend, and other features into this mashup. Structural features (contacts, faults, folds, and strike/dip measurements) are organized in the layer controls as a separate layer group so that this entire group or its individual layers can be turned on or off as desired. Moving the cursor over a map feature reveals the feature name; clicking on the feature opens the Google info window to show additional information.

This sample use of SVG tilesets can be viewed in the latest version of these browsers: Internet Explorer, Safari, Firefox, Chrome, and Opera. Since the map layers are tilesets, the map could cover any geographic extents with the same level of detail and performance in these browsers.

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Nebraska Groundwater Data

Several types of data on groundwater and its use in Nebraska are presented in these Google Maps geomashups using geometric tilesets created in TNTmips. Zoom in anywhere to see more map detail and the location, use, and characteristics of over 169,000 registered wells in this state. One version of the geomashup uses KML geometric tilesets, whereas the other uses SVG geometric tilesets. A geometric tileset stores the points, lines, and polygons making up a map layer in a sequence of small tiled KML or SVG files that can be fetched and rendered efficiently in the browser. By using a geometric tileset instead of a single KML or SVG file, any size area can be covered and rendered over a wide range of Google Maps zoom levels, with rendering times independent of the size of the area. The initial view in each geomashup displays a polygon tileset showing the amount of rise or fall in the level of the groundwater table (positive or negative change) in different areas from predevelopment through the Spring of 2010. The amount of change in each area is shown automatically as you move the mouse over the map; you can also left-click in any of the polygons to show the same information in the Google information window.

This water table change layer is in a mutually-exclusive group controlled by radio buttons. The other layer in this group is a polygon tileset showing spatial variations in the thickness of the primary groundwater aquifer across Nebraska.

When you zoom in far enough, a point tileset showing groundwater well locations becomes visible. (Well points are visible at zoom level 10 or higher in the SVG tileset example and level 11 or higher in the KML tileset example.) The Google Information window shows a listing of selected data for each well. Well symbols are colored by the type of water use, and a legend listing these symbols and their explanation is shown in the layer controls. The Assemble Geomashup process in TNTmips, which was used to assemble these layers, lets you choose to create a legend for any individual KML or SVG tileset layer. A legend entry is created for each unique style and corresponding attribute value in the geometric tileset.

The bottom layer in this geomashup is a reference layer showing Nebraska county boundaries and county names; this layer is an SVG tileset of these geometric features.

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Interactive Shaded Relief

Design your own shaded relief map

Choose your elevation coverage from:

global90 meter(SRTM)
global30 meter(ASTER)
Brazil30 meter(INPE)
USA30 meter(USGS)
Japan10 meter(GSI)
USA10 meter(USGS)
Iowa3 meter(IDNR)
N Carolina3 meter(USGS)
W Virginia3 meter(USGS)
Louisiana3 meter(USGS)
Pennsylvania1 meter(PASDA)

This sample application demonstrates the use of web terrain tilesets of various resolutions that have been prepared in TNTmips. The application fetches the terrain tiles for the current view from this web site. The application then computes and displays the shaded relief within your browser using only HTML5 and JavaScript. If you change the azimuth to the sun, sun elevation, vertical exaggeration, or color palette, your new shaded relief view is computed from the same elevation tiles that have already been cached locally. In summary, the shaded relief viewed in this application is not precomputed or computed by this server.

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Legends for
KML Tileset Layer Geomashups

This geologic map of the Amboy and Ariel quadrangles, Washington, is displayed in Google Maps using a geomashup of three KML geometric tilesets, an SVG geometric tileset, and a KML file. It illustrates the use of legends for KML geometric tileset layers in geomashups, in this case the Map Units layer (polygons) and the Faults layer (lines). The TNTmips interactive Geomashup process, which was used to assemble these layers, allows you to specify the creation of a legend for individual KML layers (single KML files or KML geometric tilesets) in the mashup. A legend entry is created for each unique style and corresponding attribute value in the source geometric object. The folder icon for a legend in the geomashup layer controls serves as a hide/show control. In this example the Map Units legend is set to be initially expanded and visible, while the Faults legend is set to be initially closed.

In order to create this geologic map, corresponding vector map layers from two adjacent map quadrangles were merged in TNTmips using the Vector Merge process. The database tables attached to these vector objects were edited to have identical field names and types so that the tables could be seamlessly merged along with the map data. The styled vector map layers were converted to KML and SVG geometric tilesets in the Export Geometric Tileset process in TNTmips. The Geochron layer, which contains only a few point elements, was rendered to a single KML file using the Render to KML operation in the Display process.

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Legends for KML Layer Geomashups

This simple geologic map is being displayed in Google Maps using a geomashup of 3 KML files containing polygons and lines. It illustrates the use of legends for KML layers in geomashups. The TNTmips interactive Geomashup process, which was used to assemble the 3 KML files, sidebar, and other features, allows you to specify creation of a legend for individual KML layers. A legend entry is created for each unique style and corresponding attribute value in the source geometric object.

Use of single-file KML layers in geomashups should be limited to geometrically simple map data. For larger and more complex geometric data, you can use the Export Geometric Tileset process to render your styled geometric data to either a KML geometric tileset or an SVG tileset.

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Lancaster County Bike Routes & Trails

These geomashups show bicycle trails and on-street bicycle routes for Lancaster County, Nebraska. Both examples use a KML geometric tileset created from a TNT vector object. Hovering the mouse over a line provides a DataTip showing the trail or street name. Left-clicking on a line pops in an information balloon that also identifies the trail or route type, which is also indicated by the differing line styles.

A single KML file rendered from the TNT vector object would be too complex to render in Google Maps. Instead the styled vector lines were rendered into a KML geometric tileset using the Export Geometric Tileset process in TNTmips. This geometric tileset is a Google super-overlay structure made up of tiled sets of KML files depicting the bike trail/route lines at each zoom level. Only a few of the KML tile files are fetched by these geoviewers for any area and zoom level that you view. Geometric tilesets can thus be used to cover even larger areas than the single county shown here. The DataTip information attached to each TNT vector line was automatically written into the KML tile files for presentation in the information balloons in the Google Maps and Google Earth geomashups.

View in:
 Google Maps
 Google Earth
 Google Earth Tour

        - in browser

        - in desktop GE

Google Maps with detailed
polygon boundaries

Click anywhere in polygon
for info balloon

Customize legend template
with your HTML

Lancaster County Floodplains

This geomashup presents the floodways and 100 and 500-year floodplain areas in Lancaster County, Nebraska. Both examples use a common vector tileset created from a TNT vector object. Left-clicking on a flood area pops in an information balloon identifying the type.

These floodplain polygons and styles were rendered into the vector tileset from a vector layer displayed in TNTmips. This vector tileset is a Google super-overlay structure made up of tiled sets of KML files depicting the floodplain polygons at each zoom level. Only a few KML tile files are fetched by these geoviewers for any area you view. Accurate vector boundaries are presented at all zoom levels. The DataTips attached to each polygon in the vector were converted into the information balloons shown in the geoviewer and these could even be unique for each polygon.

A single KML layer rendered from this same vector object would be too complex to render in Google Maps. However, since only a few small KML tile files are always used by these geoviewers, this vector tileset can be scaled up to cover any area without impacting its performance. Thus while this sample vector tileset covers a county it could just as easily cover a state or a nation. A vector tileset can also be used for a more detailed layer such as a soil or parcel polygons, roads, or individual points.

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Initial view shows coverage
red = rural  blue = urban

Mouse over parcel polygon
shows owner's name

Select parcel polygon for
summary of ownership

URL in summary links to
Assessor's web site

Lancaster County Rural/Urban
Land Ownership

Links to parcel detail at
county assessor's web site

This geomashup depicts the 108,000 parcel polygons for Lancaster County, Nebraska, with attached database information released by the Lancaster County Assessor's Office on 14 December 2011. The parcel data for the rural and urban parts of the county have been segregated into different layers. At startup the entire county area is shown with rural and urban areas indicated by differently-colored, partially-transparent overlays (blue = urban, pink = rural). Clicking on an area pops in an information balloon directing you to zoom in to that area to see the parcel information. As you zoom in, parcel information is shown beginning with Google Maps zoom level 14 for the in rural areas (which have larger parcels) and zoom level 17 for Lincoln and the other municipalities in the county. Each parcel polygon is shown as a red outline with a mostly transparent red fill. Hovering the mouse cursor over a parcel polygon shows the property address (if available). Clicking within a polygon pops in an information balloon with additional information such as owner's name, assessed value, primary use, and acreage, along with a link to the County Assessor's web site for even more information.

The Export Geometric Tileset process in TNTmips was used to convert vector objects containing the original parcel polygons into KML vector tilesets showing the parcels at Google Maps zoom levels 17, 18, and 19 for the urban areas and zoom levels 14 through 19 for the rural areas. The source vector objects included a virtual attribute field constructed from a number of parcel database fields to provide a multiline DataTip. During the tileset conversion this DataTip information was automatically transferred to the KML structure for each parcel to provide the data source for the information balloons shown in Google Maps. The KML vector tilesets (KML Super-Overlays) are tiled structures consisting of small KML files. This tiled structure allows thousands of polygons or other geometric features to be viewed in Google Maps without adversely impacting the performance of your web browser. The urban and rural area overlays are simple, untiled KML files rendered from vector objects using the Display process in TNTmips.

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Initial view shows coverage
red = rural  blue = urban

Points appear first for
larger rural parcels

Mouse over parcel point
shows owner's name

Select parcel point for
summary of ownership

URL in summary links to
Assessor's web site

Lancaster County Rural/Urban
Land Ownership

Links to parcel detail at
county assessor's web site

This geomashup depicts the 108,000 parcel polygons for Lancaster County, Nebraska, with attached database information released by the Lancaster County Assessor's Office on 14 June 2011. The parcel data for the rural and urban parts of the county have been segregated into different layers. At startup the entire county area is shown with rural and urban areas indicated by differently colored, partially transparent overlays (blue = urban, pink = rural). Clicking on an area pops in an information balloon directing you to zoom in to that area to see the parcel information. As you zoom in, parcel information is shown beginning with Google Maps zoom level 14 for rural areas and zoom level 17 for Lincoln and the other municipalities in the county. Each parcel polygon is shown as a red outline and is also represented by a circular red point symbol within the polygon. Hovering the mouse cursor over a parcel point provides the property owner's name. Clicking on a point pops in an information balloon with additional information such as address, assessed value, primary use, and acreage, along with a link to the County Assessor's web site for even more information.

The original parcel polygons were displayed in TNTmips and rendered into transparent tilesets (PNG tiles only) showing the parcel boundaries at Google Maps zoom levels 17, 18, and 19 for the urban areas and zoom levels 14 through 19 for the rural areas. Vector objects with a point for each parcel polygon were created for the rural and urban areas and attribute information was transferred from the polygons to the points. These attributes include a multi-line DataTip field constructed from a number of parcel database fields. Each point set was then rendered to a KML Super-Overlay, a tiled structure consisting of small KML files. This tiled structure allows tens of millions of points to be viewed in Google Maps without adversely impacting the performance of your web browser. The render procedure automatically transferred the DataTip information to the resulting KML files to provide the data source for the information balloons shown in Google Maps. Points for urban areas were rendered at Google Maps zoom level 17 and for rural areas at zoom level 14. Points in both subareas remain visible in the geomashup through Google Maps zoom level 19.

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Lincoln Land Ownership

Links to parcel detail at
county assessor's web site

This geomashup depicts the 108,000 parcel polygons for Lancaster County, Nebraska, with attached database information released by the Lancaster County Assessor's Office on 14 June 2011. Each parcel polygon is shown as a red outline and is also represented by a circular red point symbol within the polygon. Hovering the mouse cursor over a parcel point provides the property owner's name. Clicking on a point pops in an information balloon with additional information such as address, assessed value, primary use, and acreage, along with a link to the County Assessor's web site for even more information.

The original parcel polygons were displayed in TNTmips and rendered into a transparent tileset (PNG tiles only) showing the parcel boundaries at Google Maps zoom levels 17, 18, and 19. A vector object with a point for each parcel polygon was created and attribute information was transferred from the polygons to the points. These attributes include a multi-line DataTip field constructed from a number of parcel database fields. This 108,000 point set was then rendered to a KML Super Overlay, a tiled structure consisting of small KML files. This tiled structure allows tens of millions of points to be viewed in Google Maps without adversely impacting the performance of your web browser. The render procedure automatically transferred the DataTip information to the resulting KML files to provide the data source for the information balloons shown in Google Maps.

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Plessisville, Quebec Land Ownership

This geomashup depicts the parcel polygons and ownership details for the community of Plessisville and the surrounding rural area located in the Erable MRC (Regional County Municipality) of Quebec. Note that the details about the ownership of each parcel that are displayed in its information balloon in Google Maps are in French since these materials were prepared in French in TNTmips. The original parcel polygons were displayed in TNTmips and rendered into a transparent tileset (PNG tiles only) showing the parcel boundaries at Google Maps zoom levels 17, 18, and 19. A vector object with a point for each parcel polygon was created and attribute information was transferred from the polygons to the points. These attributes include a multi-line DataTip field constructed from a number of parcel database fields. This point set was then rendered to a KML Super Overlay, a tiled structure consisting of small KML files. This tiled structure allows tens of millions of points to be viewed in Google Maps without adversely impacting the performance of your web browser. The render procedure automatically transferred the DataTip information to the resulting KML files to provide the data source for the information balloons shown in Google Maps.

This sample data has been reproduced here with the permission of the Erable MRC and the community of Plessisville.

View in:
  Google Maps

        - mouse control

             (desktops / portables)

        - gesture control

             (smart phones / pads)


  Bing Maps
  Open Layers

Montara Mountain, California
Topographic Map Layout

scale of original topographic map 1:24,000

source of geometric map data:
United States Geological Survey

This map tileset was created from the Montara sample map layout prepared in TNTmips and distributed as free sample data with every TNTmips. This layout includes numerous geometric data layers depicting components of a topographic map, including contour lines, vegetative surface cover and built area background colors, roads and highways, administrative boundaries, and text labels. This map layout was rendered to a single tileset (with transparent background) in the Display process in TNTmips. While it covers only a small area, it illustrates that complex layouts of any extent and detail can be rendered into a single tileset. Even if the tileset is huge (many gigabytes), viewing via these same geoviewers at any detail would be just as fast as this small sample. This map layout was rendered into a tileset by MicroImages' reseller in Brazil, Latitude23.

View in:
  Google Maps

        - mouse control

             (desktops / portables)

        - gesture control

             (smart phones / pads)


  Bing Maps
  Open Layers

Midway Valley, Nevada
Geologic Map Layout

scale of original geologic map 1:24,000

source of geometric map data:
United States Geological Survey
Geologic Investigations Series I-2627

This map tileset was created from the MIDMAP sample map layout prepared in TNTmips and distributed as free sample data with every TNTmips. This layout includes numerous geometric data layers depicting components of a geologic map, including map unit polygons, geologic contacts and faults, contour lines, roads, and text labels. This map layout was rendered to a single tileset (with transparent background) in the Display process in TNTmips. While it covers only a small area, it illustrates that complex layouts of any extent and detail can be rendered into a single tileset. Even if the tileset is huge (many gigabytes), viewing via these same geoviewers at any detail would be just as fast as this small sample. This map layout was rendered into a tileset by MicroImages' reseller in Brazil, Latitude23.


Maps Created using TNTmips


View in:
  Google Maps

        - mouse control

             (desktops / portables)

        - gesture control

             (smart phones / pads)

  Google Earth
  OpenLayers
  Bing Maps 2D

Genesee County, Michigan
Topographic Map
(as transparent overlay)

scale of original topographic maps 1:24,000

This geomashup overlays an enhanced 1:24,000-scale USGS topographic map of Genesee County, Michigan on the corresponding annual USDA 1-meter orthoimage coverage of the county.

The map layer is a tileset with transparent background prepared from the Super-DRG digital versions of these maps covering the United States in county units. Super-DRGs are a product of advancements in scanning technology since the creation of the original DRGs by the USGS. As a leader in the field of digitization, The W.E. Upjohn Center for the Study of Geographical Change at Western Michigan University specializes in large-format, flat-bed scanning that eliminates the possibility of damage to any map or document. Using GIS Scanners developed exclusively for the Center by Lumiere Technology, Paris, these Super-DRGs are of the highest quality and geometric accuracy. The result is an extremely high-definition map product of the same resolution as the original DRG, such that the 1:24,000 and 1:25,000-scale maps can be effectively used with 1:12,000-scale imagery (digital orthophotos). This Super-DRG product provides nationwide coverage of the 7.5-minute 1:24,000 and 1:25,000-scale USGS topographic quadrangles in a GIS-ready format (mosaic constructed by county). The dataset is georeferenced and color-enhanced to provide for overlay with imagery and other forms of GIS data. This product is ideal for change detection analyses and for adding depth to an existing dataset's temporal dimension.

The current Super-DRG coverage of the United States is the first component in a larger series now being developed by The Center and called the Authoritative U.S. Topographic Maps Initiative. This augmentation will provide high-accuracy, multiscale, high-definition historical map sets.

TNTmips was one of a suite of software products used in the preparation of the Super-DRGs. For more information about Super-DRGs and the Center, see https://ucgc.welborn.wmich.edu/ or contact cgc-upjohncenter@wmich.edu.

The image layers in this geomashup are opaque tilesets prepared in TNTmips from the annual orthoimagery collected by the NAIP program of the USDA. For more information about the source of this imagery see http://datagateway.nrcs.usda.gov/.

10 Meter Contours of Japan
(as transparent overlay)

scale of original topographic maps 1:25,000

source of geometric map data:
Geospatial Information Authority of Japan (GSI)

for other tilesets of Japan see
http://www.opengis.jp/tileset/index.html

OpenGIS, the authorized MicroImages reseller in Japan, has used TNTmips to create a tileset of the 10 meter contours and other topographic map features for all of Japan. This tileset uses only PNG tiles to publish these map features to provide a transparent overlay for use in popular geoviewers. This tileset can be viewed as a transparent overlay in Google Maps and Bing Maps from the OpenGIS web site using the links at the left.

The map tileset depicts topographic contours color-coded by elevation. A number of other reference layers are also shown in various colors, including coastline, water boundaries, road edges, railway centerlines, building footprints, and administrative boundaries.

This country-wide topographic tileset was created from individual tilesets for each of Japan's 47 prefectures. For each prefecture tileset, all map layers were displayed together in TNTmips with appropriate styling and converted to a Google Maps tileset using the Render to Tileset procedure. The maximum Google Maps zoom level for each prefecture tileset is 16. At this zoom level each screen pixel depicts a ground area about 2 meters across at these latitudes. The complete set of tilesets for all 47 prefectures includes about 2.3 million tile files and requires 23.3 GB of hard drive space. The Merge Tilesets process in TNTmips was then used to merge the prefecture tilesets into the single country-wide topographic tileset you are viewing here.

The source data for all map layers is the Kiban Chizu Joho (Fundamental Infrastructural Digital Map Information) published by the Geospatial Information Authority of Japan (GSI) at a native scale of 1:25,000. There are approximately 4600 paper maps in this series. The digital version of these maps for each prefecture is available for free download from GSI, in Japanese or can be ordered on CD. OpenGIS converted each map layer from its native XML format to a shapefile using a GSI utility program. All map feature shapefiles were imported to TNT vector objects for added flexibility in styling, with the exception of building footprint shapefiles, which were used directly. The approximate total size of all input files is 10.9 GB.

Geologic and Mineral Resource Map of Afghanistan

scale of original map 1:850,000

source: USGS PDF file

These tilesets were created in TNTmips from a PDF file published by the United States Geological Survey (USGS) as Open-File Report 2006-1038. The map by Jeff L. Doebrich and Ronald R. Wahl includes geologic map unit boundaries and locations of mineral resource occurrences compiled from various sources using TNTmips and other software products. The shaded-relief base was prepared from SRTM digital elevation model data with gaps filled using contour data from 1:200,000-scale Soviet General Staff Sheets. TNTmips and other products were used to prepare the cartographic rendering and PDF file.

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Afghanistan Geologic Map

scale of original map 1:250,000

source: USGS PDF file

This is a mosaic of 32 individual geologic maps prepared and published as PDF files by the United States Geological Survey (USGS). Each map was prepared separately using TNTmips on Apple Macintosh computers. The shaded-relief background and topographic contours were generated in TNTmips from SRTM digital elevation data. TNTmips and other products were used to prepare the cartographic rendering and PDF files. Additional information with regard to using these "reconnaissance maps" can be found in the USGS Open File Report associated with each map.

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Afghanistan Topographic Map

scale of original maps 1:250,000

source: USGS PDF files

This is a mosaic of 32 individual topographic maps prepared and published as PDF files by United States Geological Survey (USGS). Each map was prepared separately using TNTmips on Apple Macintosh computers. Topography was derived from SRTM digital elevation data with gaps filled from the 1:200,000 Soviet Staff Sheets. Contours and stream paths were generated in TNTmips terrain modeling processes. TNTmips and other products were used to prepare the cartographic rendering and PDF files. Additional information with regard to using these "reconnaissance maps" can be found in the USGS Open File Report associated with each map.

This nation-wide presentation of these 32 maps was also prepared in TNTmips. The map content was extracted from the PDF versions of the maps and mosaicked and converted into tilesets.

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Afghanistan Natural Color
Landsat Image Map

scale of original maps 1:250,000

source: USGS PDF files

This is a mosaic of 32 individual natural color Landsat image maps prepared and published as PDF files by the United States Geological Survey (USGS). Each image map was prepared separately using TNTmips on Apple Macintosh computers. TNTmips and other products were used to prepare the cartographic rendering and PDF files. Additional information with regard to using these "reconnaissance maps" can be found in the USGS Open File Report associated with each map.

This nation-wide presentation of these 32 maps was also prepared in TNTmips. The map content was extracted from the PDF versions of the maps and mosaicked and converted into tilesets.

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Afghanistan False Color
Landsat Image Map

scale of original maps 1:250,000

source: USGS PDF files

This is a mosaic of 32 individual false-color Landsat image maps prepared and published as PDF files by the United States Geological Survey (USGS). The false colors are derived from Landsat bands 7 (displayed in red), 4 (displayed in green) and 2 (displayed in blue). Each image map was prepared separately using TNTmips on Apple Macintosh computers. TNTmips and other products were used to prepare the cartographic rendering and PDF files. Additional information with regard to using these "reconnaissance maps" can be found in the USGS Open File Report associated with each map.


Tilesets Prepared using TNTmips


View in:
  Google Maps

       - mouse control

             (desktops / portables)

       - gesture control

             (smart phones / pads)

Common Land Unit Mashup
Otoe County Nebraska

source: USDA Common Land Units

This geomashup displays a tileset showing agricultural field boundaries in Otoe County over Nebraska 2009 natural color orthoimagery. Labels showing the number of acres in each field polygon are shown at the higher zoom levels.

The source of the field boundaries is the 2007 edition of the U.S. Department of Agriculture Common Land Units (CLU) dataset for the county, which was imported to a TNT vector object. Each zoom level in the CLU tileset was rendered to a separate tileset in the Display process in TNTmips. For each Google Maps zoom level, styles for the CLU vector were adjusted to provide polygon boundary widths and label sizes appropriate for that map scale. The acreage labels were dynamically generated in the vector display using acreage values in the polygon database. The CLU boundaries were rendered to tilesets consisting of PNG tiles to provide a transparent background for the boundaries.

These individual CLU zoom-level tilesets were then merged to a single tileset using the Merge Tilesets process in TNTmips. The Assemble Geomashups process was used to combine the CLU tileset with the Nebraska orthoimage tileset.

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CLU Otoe County, NE Geomashup
with Measurement Tools

Geodata for this mashup is described in the Common Land Unit Mashup Otoe County Nebraska example above

Measurement tools can be added to any Google Maps geomashup when it is created in TNTmips' Main / Assemble / Geomashup process. Simply choose the Measurement Tools on Map option for the Drawing Tools Type on the Options tabbed panel. The Measurement tools let you place a marker and display its coordinates in Lat/Lon or draw a path or area and provide continuous length or area readout as you continue drawing.

Other tool options for Google Maps include the search bar, overview map, scale bar, and various zoom types, as well as a transparency slider for overlays. You may also designate layer visibility controls to be radio buttons, which only allow display of one so-designated overlay at a time and automatically turn off selection of the previously displayed overlay.

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CLU Otoe County, NE Geomashup
with Drawing Tools

Geodata for this mashup is described in the Common Land Unit Mashup Otoe County Nebraska example above

Drawing tools can be added to any Google Maps geomashup when it is created in TNTmips' Main / Assemble / Geomashup process. Simply choose the Drawing Tools option for the Drawing Tools Type on the Options tabbed panel. The Drawing tools let you place markers and draw paths and areas and provide names and descriptions for each element added. The elements you create in a session can also be saved to a KML file.

Other tool options for Google Maps include the search bar, overview map, scale bar, and various zoom types, as well as a transparency slider for overlays. You may also designate layer visibility controls to be radio buttons, which only allow display of one so-designated overlay at a time and automatically turn off selection of the previously displayed overlay.

View in:
  Google Maps

       - mouse control

             (desktops / portables)

       - gesture control

             (smart phones / pads)

  Google Earth
     - open in browser
     - launch application
  Bing Maps 2D

Afghanistan Topographic Map

scale of original maps 1:50,000

source: scans of Russian paper maps

PDF file Soviet Map Legend (English)

View in:
  Google Maps

       - mouse control

             (desktops / portables)

       - gesture control

             (smart phones / pads)


  Bing Maps 2D & 3D

Pennsylvania Stream Network

scale of original map 1:24,000

source of stream data:
Environmental Resource Research Institute
source of elevation data:
USGS National Elevation Dataset (NED30)

Stream courses and elevation data for the entire state of Pennsylvania are depicted in this geomashup of tilesets created in TNTmips. This demonstration shows how the geospatial analysis capabilities in TNTmips can be used to prepare advanced geomashups for all popular geoviewers. The public geodata layers in this geomashup were processed and assembled entirely in TNTmips. It would be difficult to produce this geomashup using any collection of other geospatial analysis tools.

The Color Shaded Relief layer was created from an NED30 elevation raster and a shading raster derived from this elevation raster. These layers were overlaid with partial transparency and converted to a standard web tileset using the Render to Tileset procedure in the Display process.

The stream tileset was produced from networked (interconnected) stream center lines with added stream order attributes computed in TNTmips from the NED30 elevation raster. A simplified version of the stream network was developed for each reduced-resolution zoom level in the output tileset. To do so, the stream network was pruned by stream order and by length of dangling lines, and line complexity was progressively reduced using the Vector Filters process. Each zoom level in the Streams tileset was created separately using the Render to Tileset procedure. These zoom level tilesets were then assembled into a complete Streams tileset using the interleaving capabilities in the Merge Tileset process. The Assemble Geomashup process was then used to assemble these components and produce the auxiliary HTML files used to publish this demonstration.

Base of the Principal Aquifer for the Elkhorn- Loup River Basins, North-Central Nebraska

scale of original map 1:320,000

source: USGS shape files

This geomashup of three tilesets depicts the elevation and geology of the base of the principal groundwater aquifer underlying much of the Sand Hills region of north-central Nebraska. The map layers are distributed as shape files accompanying United States Geological Survey (USGS) Scientific Investigations Map 3042 by V.L. McGuire and S.M. Peterson. The geomashup includes a generalized geologic map of the base of the aquifer, contours of the elevation (in feet above sea level) of the aquifer base, and surface streams.

The USGS shape files were imported to vector objects in TNTmips and edited and filtered to create appropriate map detail and styling for each tileset zoom level. Each zoom level was then created separately from its source vector object using the Render to Tileset procedure in the Display process in TNTmips. These zoom level tilesets were then assembled into a complete tileset for each of the map overlays.

Skykomish River Geologic Map

scale of original maps 1:100:000

source: USGS PDF file

These tilesets were created in TNTmips from the Geologic Map of the Skykomish River 30 x 60 Minute Quadrangle, Washington (USA) published as a PDF file by the United States Geological Survey (Geologic Investigations Series I-1963). The quadrangle reaches from the lowlands surrounding Puget Sound to the crest of the North Cascade Mountains. Its diverse geology was mapped by R.W. Tabor, V.A. Frizzell, Jr., D.B. Booth, R.B. Waitt, J.T. Whetten, and R.E. Zartman. The web pages that display the tilesets also include links to the Map Legend, Cross Sections, and a Correlation Chart.


Tilesets Prepared in TNTmips                                         maps   imagery


View in:
  Google Maps
  Google Earth
  Bing Maps 2D

Modesto Highway

View in:
  Google Maps
  Google Earth
  Bing Maps 2D

Lincoln South Beltway


Tilesets Prepared in TNTmips                     maps   plans  


View in:
  Google Earth

NOTE: If these COLLADA models look patchy and incomplete when you view them in Google Earth, you may have Elevation Exaggeration set to a value higher than 1. This parameter control is found in the 3D View panel of the Google Earth Options window (Tools / Options).

COLLADA Tileset: Lidar Terrain
Model of Garlock Fault
for Google Earth

source: Open Topography Portal
www.opentopography.org

Each KMZ file in this set contains a COLLADA tileset: tiled COLLADA models including terrain and a draped image, produced by the Export Collada Tileset process in TNTmips (Tileset / Export Collada).

The model area covers 6.5 square kilometers along the trace of the Garlock Fault in the Mojave Desert of southern California. The terrain surface used in the COLLADA models is a DEM with 0.5-meter spacing acquired in 2008 by the EarthScope Southern & Eastern California Lidar Project, which collected high-resolution topography data along a number of active fault zones.

Three COLLADA tilesets of this area were created by MicroImages using the same Lidar terrain surface but different drape images: color orthoimage with 0.3-meter resolution, shaded-relief image of the Lidar terrain, and a drape image combining relief shading and color-coded elevation. All of the tilesets are offset 50 meters above their actual elevation to avoid intersecting the Google Earth terrain, and all terrains are presented with no vertical exaggeration.

The northeast trend of the active Garlock Fault is marked in this area by offset stream gullies and linear depressions and ridges along and adjacent to the fault trace. The detailed Lidar terrain used in these COLLADA tilesets capture the detail of these local topographic features that are not revealed in the more generalized terrain model in Google Earth.

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Multiple Year Nebraska Geomashup
for Google Earth

source: 2003 to 2010 USDA imagery

Each summer USDA coordinates an interagency National Agricultural Imagery Program (NAIP) to collect 1-meter color orthoimagery of the United States. This geomashup overlays this imagery of Nebraska for the years 2003 to 2010. Using this geomashup it is easy to compare changes in land use, cropping patterns, urban development, ... at this 1-meter resolution over this 7 year interval.

To prepare this example, the NAIP's annual county orthoimage files have been converted by TNTmips into a Google Earth tileset of Nebraska for each year. These annual tilesets are then selected in the TNTmips Geomashup process where the mashup's user interface is designed. In just a few seconds this process combines the links to these tilesets and the required HTML and Javascript into the geomashup (i.e., HTML file) used directly by the Google Earth browser plugin as illustrated in this example. You can optionally choose an html file to provide the side panel content below the list of layers in the geomashup.

Multiple Year Nebraska Geomashup
source: 2003 to 2010 USDA imagery

Each summer USDA coordinates an interagency National Agricultural Imagery Program (NAIP) to collect 1-meter color orthoimagery of the United States. This geomashup overlays this imagery of Nebraska for the years 2003 to 2010. Using this geomashup it is easy to compare changes in land use, cropping patterns, urban development, ... at this 1-meter resolution over this 7 year interval.

To prepare this example, the NAIP's annual county orthoimage files have been converted by TNTmips into a standard web tileset of Nebraska for each year. These annual tilesets are then selected in the TNTmips Geomashup process where the mashup's user interface is designed. In just a few seconds this process combines the links to these tilesets and the required HTML and Javascript into the geomashup (i.e., HTML file) used directly by each of the links at the left for viewing in all popular browsers.

View in:

Nebraska Geomashup with
Measurement Tools

Geodata for this mashup is described in the multiple year Nebraska example above

Measurement tools can be added to any Google Maps geomashup when it is created in TNTmips' Main / Assemble / Geomashup process. Simply choose the Measurement Tools on Map option for the Drawing Tools Type on the Options tabbed panel. The Measurement tools let you place a marker and display its coordinates in Lat/Lon or draw a path or area and provide continuous length or area readout as you continue drawing.

Other tool options for Google Maps include the search bar, overview map, scale bar, and various zoom types, as well as a transparency slider for overlays. You may also designate layer visibility controls to be radio buttons, which only allow display of one so-designated overlay at a time and automatically turn off selection of the previously displayed overlay.

View in:

Nebraska Geomashup with
Drawing Tools

Geodata for this mashup is described in the multiple year Nebraska example above

Drawing tools can be added to any Google Maps geomashup when it is created in TNTmips' Main / Assemble / Geomashup process. Simply choose the Drawing Tools option for the Drawing Tools Type on the Options tabbed panel. The Drawing tools let you place markers and draw paths and areas and provide names and descriptions for each element added. The elements you create in a session can also be saved to a KML file.

Other tool options for Google Maps include the search bar, overview map, scale bar, and various zoom types, as well as a transparency slider for overlays. You may also designate layer visibility controls to be radio buttons, which only allow display of one so-designated overlay at a time and automatically turn off selection of the previously displayed overlay.

View in:
  Google Maps
  Google Earth
  Bing Maps
  OpenLayers

High-Resolution
City Geomashup

source: 2008 orthoimagery,
City of Philadelphia

This geomashup combines high-resolution orthoimagery of a large urban area with standard base layers in several geobrowsers. The natural color orthoimage of the city of Philadelphia, Pennsylvania, acquired in 2008, has a resolution of 10 centimeters (4 inches). This imagery reveals the urban landscape in fine detail, showing small structural features of buildings, landscaping, and street lane lines. It could provide a detailed visual reference for on-line planning, urban design, or civil engineering applications.

To prepare this example, image files for three city areas were downloaded from Pennsylvania Spatial Data Access and converted in TNTmips into a standard web tileset. This tileset was then selected in the TNTmips Geomashup process to design the mashup's user interface, which is specified in the HTML/Javascript files used by the links to the left.


Geomashups Prepared in TNTmips                     maps   plans  


View in:

Geomashups of Sydney, Australia

source: Orthoimagery from NearMap.com

NearMap acquires, processes, and publishes monthly 5 or 7.5 centimeter seamless color image coverage of all major Australian cities on a monthly repeat cycle and for other selected Australian sites and offers these via nearmap.com for public access.

This sample geomashup illustrates how their imagery, published via the Internet for access in tiles, can be used in a geomashup prepared in TNTmips. All the images used in these geoviews in your browser are fetched as tiles in real time from nearmap.com web servers in Australia. When you select a geoview your browser downloads the corresponding geomashup from microimages.com and it requests the required tiles from the appropriate NearMap servers.

Each of these geomashups includes four sets of NearMap imagery for dates from November 2009 to May 2010 covering the Greater Sydney area. Each date layer is actually a composite of imagery acquired monthly over several days or more with the date shown for the layer representing the final and nominal date of the acquisition of each layer.

The Google Maps and Bing Maps geomashups use the NearMap imagery as overlays over the proprietary base maps automatically provided by the geobrowser. Controls are provided to turn each overlay on or off and to vary its transparency.

The NearMap geomashup uses the Google Maps geobrowser and controls, but none of Google's layers. The four NearMap imagery layers are available as base maps; you can select which base map to show. A transparent overlay of streets and labels hosted by NearMap is also used in this geomashup as an overlay layer.

Several hundred different dates of orthoimage coverage of Australian cities have been acquired and are published at nearmap.com for use in their on-line viewer and applications. Since each of these emulates a standard web tileset, each can be selected and used via the Internet as a layer in any view in TNTmips Pro operating locally on your Windows or Mac computer when it is connected to the Internet. Adding these, or any other standard web tileset layer, to your local view via the Internet takes only a second and will match the exact scale, coordinate reference system, and area of all the other layers already in the view.

View in:
  Bing Maps 3D
            (Windows Only)

  Bing Maps

Geomashups of Adelaide, Australia

source: Orthoimagery from NearMap.com

NearMap acquires, processes, and publishes monthly 5 or 7.5-centimeter seamless color image coverage of all major Australian cities on a monthly repeat cycle and for other selected Australian sites and offers these via nearmap.com for public access.

This sample geomashup illustrates how NearMap imagery, published via the Internet for access in tiles, can be viewed in 3D in a geomashup prepared in TNTmips. NearMap imagery covering Adelaide is shown as an overlay in the Bing Maps geobrowser, which can display the overlay in 2D or 3D. The NearMap imagery is fetched as tiles in real time from nearmap.com web servers in Australia. When you select this geoview, your browser downloads the geomashup from MicroImages, and it requests the required tiles from the appropriate NearMap servers and translates the tile identifiers into the form required by the Bing Maps geobrowser for 3D and 2D viewing.


Images Prepared in TNTmips


View in:
  Google Maps
  Google Earth
  Bing Maps

Kerava / Tuusula, Finland

View Mosaic:
  Google Maps
  Google Earth
  Bing Maps

Kankaanpaa, Finland


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page update: 15 Apr 13