Elevation data describes the shape of the Earth's surface and is important in the
development of many human and Earth resource models. This information is used in
conjunction with other data such as population, vegetation, soils, climate or
agricultural information to tell a more complete story of the interaction of people and
the environment.
The most fundamental type of elevation data is the raw elevation values of a single
point on the Earth's surface. This is a measured height of a specific point on the
Earth's surface, relative to some reference plane (termed a
vertical datum). Many digital elevation values stored in an orderly fashion are
often called a Digital Terrain Model (DTM). DTMs provide a convenient method for
storing and representing elevation data.
DTMs are increasingly becoming the focus of attention within the larger realm of
digital topographic data. This is because the fundamental nature of the data, and the
insight that the elevation information can provide. The insight that DTM data can add
is becoming extremely valuable in numerous applications within the fields of Earth,
environmental and engineering science. This is due, at least in theory, to the fact that
DTM can be used to simulate the true elevation, slope and aspect of the Earth's
surface.
Research and application of global change science, for example, is an area where the
need for quality topographic data is essential to creating Earth based intellectual
models of real world situations. Simulation and virtual reality applications are other
areas of study that also require terrain elevation data.
A GIS/image processing firm has been subcontracted to create a flight simulator
database. Many airlines and most of the world's air forces provide simulator flight
training capabilities for aircrew members. These flight simulator systems, although
very expensive have been shown to be an economical alternative to the expenses that
are encurred from actual aircraft flight time. An integral part of each aircraft flight
simulator is a geographic information system (GIS)/image database. This database is
designed to allow the generation of realistic out-the-cockpit views of the world in
real-time. Generally, flight simulator visual databases are composed of four
separate elements:
These database elements when digitally merged together in real-time can be used to
create a series of terrain visualizations. The trick in flight simulator database
generation is to display sixty scenes per second. At the sixty scene per second
display rate, the human mind perceives continuous motion instead of each individual
scene.
To be successful at simulator database generation, each element is created
independently using processes that insure positional correlation between all other
simulator database elements. For example, feature information is stored in a separate
process from those processes used to collection elevation data. However, it is
essential that feature positions be compared to elevation data to insure that elevation
data does not contradict the presents of features. For example, stream data must
always be checked to insure that elevation data does in fact portray a proper downhill
flow. Elevation data for areas of open water must be checked to insure that shorelines
and water surfaces are at continuous elevations.
The simulator database for which we are collecting data, is for the area around the
Logan International Airport in Boston, Massachusetts. In the exercises during this unit
of instruction, we will to locate elevation data for this region. Generally, three levels of
elevation detail are required: a low-resolution source, a medium-resoultion source,
and a high-resolution source. These levels of resolution generally coincide with the
ranges of map scale: high-resolution - large scale, medium-resolution - medium scale,
and low-resolution - small scale. During the exercises, we will identify various
elevation data sets for the Boston area, download some of this data from the Internet,
and display and reformat some of this newly obtained elevation data. The combined
learning experience of all the exercises will be similar to planning and data acquisition
phases of a real world project.
The following list describes the expected skills which students should master for each
level of training.
UNIT 6: TERRAIN DATA
Written by Barry Bitters, Imaging/GIS Specialist,Lockheed Martin Information Systems (BBitters1@aol.com)
Index
Context
Example Application
Learning Outcomes
Competency:
Recommended:
UNIT 38 - Digital Elevation Models
UNIT 39 - The TIN Model
Complementary: NONE
To attain an awareness level of this unit the student must achieve a general understanding of the uses of digital terrain data, knowledge of available types of elevation data and where to obtain them.
1. What Are Digital Terrain Data Sets Used For??
DTMs are used in many applications in earth science, environmental studies, and engineering. Their earliest use dates back to the 1950s when the U.S. Air Force first experimented with aircraft simulator technology. Since that time, DTMs have proved to be an important ingredient for all types of geographic modeling and the analysis of spatial topographic information. Broadly, there are five main application fields where DTMs are used:
Civil engineering: Civil engineers are mainly interested in using DTMs for cut-and-fill computations involved with road design, site planning, and volumetric calculations in building dams, reservoirs and the like. It may be pertinent to point out that owing to such overt concerns with volume and design, calling a DTM a "terrain model" has more relevance to a civil engineer than other DTM users.
Earth sciences: The Earth science applications center mainly around specific functions for modeling, analysis and interpretation of the unique terrain morphology. These may include drainage basin network development and delineation, hydrological run-off modeling, geomorphological simulation and classification, and geological mapping. Generating slope and aspect maps, and slope profilesfor creating shaded relief maps is a popular usage that employs DTMs.
Planning and resource management: This application of terrain data is composed of diverse fields including remote sensing, agriculture, soil science, meteorology, climatology, environmental and urban planning, and forestry, whose central focus is the management of natural resources. Examples include site location, DTM production from remote sensing, the geometric and radiometric correction of remote sensing images, soil erosion potential models, crop suitability studies, wind flow and pollution dispersion models.
Surveying and Photogrammetry: One of the main objectives of employing surveying and photogrammetry is in building reliable DTMs, evaluating their accuracy towards finally producing high quality elevation data. This may be done in a number of production-related ways: field survey, or photogrammetric data capture and subsequent editing, orthophoto production, data quality assessment, or extraction from topographic maps.
Military applications: The military is not only a leading consumer of DTMs, they also are a significant producer. Most military operations depend on a reliable and accurate understanding of the natural and manmade terrain. This includes a detailed modeling of elevation, slope, and aspect of the land surface. The military's use of DTMs employs a combination of the methods used by all the previous applications. Examples would include simple visualization, intervisibility analysis of the battlefield, 3-dimensional display for weapons guidance systems and flight simulation, and radar line-of-sight analyses.
2. What are the standard formats for terrain data??
The basic design of a DTM is based on the structure used to represent it. DTMs can be represented by a line, or point method, or mathematically. Efficient means for mathematically describing large areas of the Earth's surface have not been found. The level of detail essential in modern earth resource monitoring systems can not be approached using the current mathematical processes available to describe irregular surfaces. A variety of data structures have been tried and tested for storing and displaying topographic surfaces, however only three have become the most popular and best explored:
All three methods employ representations that use a point or line model for the storage of elevation data. Two other formats will occasionally be encountered: DXF format and ASCII. These are essentially variations on free text listings of values for point geographic positions.
The digital elevation matrix or rectangular grid of evenly spaced elevation values is the most commonly used digital modeling structure for a DTM. This is because the data structure of a grid shares much similarity with the file structure of digital computers. Both store elevations as a two-dimensional array (every point can be assigned to a row and a column). Because of this similarity of storage structures, the topological relations between the data points are recorded implicitly. No hard encoding of each geographic position is necessary. This streamlines both information processing and algorithm development.
The triangular irregular network (TIN) model provides a network of connected triangles with irregularly spaced nodes or observation points with stored coordinates describing the point location in x, y, and z. Its major advantage over an elevation matrix is its ability to store more information in areas of complex relief, and avoid the problem of gathering a lot of redundant data from areas of simple relief. However, the disadvantage of this digital data model is that algorithm development is more difficult because of the random positioning of valid data points and a requirement for complex interpolation.
The last data structure for storing digital elevation data is the contour line structure. This system is based on storing a vector version of the traditional printed contour line. This model is convenient because minimal hardware and software is required to transform hard-copy map contour lines into digital contour lines. However, algorithm development is very difficult and of the three models this one requires the most storage space.
3. Where can digital terrain data be found??
Derived from medium- and small-scale mapping source materials, a significant archive of elevation data is available for the entire world. Availability of higher resolution elevation data varies based on the area of interest. The primary sources of digital terrain data are:
National Oceanic and Atmospheric Administration (NOAA)
U.S. Navy 10-Minute Elevation Data
The U.S. Navy 10-Minute Elevation Data is a global, digital elevation data set at a resolution of 10 arc minutes. Each elevation sample is approximately 10 nautical miles apart. It was originally prepared by the Navy Fleet Numerical Oceanography Center (FNOC) at Monterey, CA. For each 10x10 arc minute area the set includes elevation, minimum elevation, maximum elevation, orientation of ridges, terrain characteristics, and urban development information. The FNOC began creating the original 10' terrain data set in the mid-1960s; work extended into the early 1970s. The main sources for the data were the US Department of Defense Operational Navigational Charts (ONC), scale 1:1,000,000. For certain regions the ONCs were not available; for such areas, selected charts from the Jet Navigation Charts and World Aeronautical Charts were used. The charts were hand-read out to paper forms, and then read by optical character reader to magnetic tape. The values were estimates from contour lines. Isometric graphs were made for quality control, such as checking terrain features. Later, other errors were corrected by the National Center for Atmospheric Research in Boulder, Colorado.
ETOPO5 was generated from a digital data base of land and seafloor elevations on a 5-minute latitude/longitude grid. The resolution of the gridded data varies from true 5-minute for the ocean floors, the U.S.A., Europe, Japan, and Australia to 1 degree in data-deficient parts of Asia, South America, northern Canada, and Africa. Source data used in the production of the ETOPO5 data are as follows:
Global 30 Arc-Second (GTOPO30) Elevation Data
The Global 30 Arc-Second (GTOPO30) elevation database was created by the USGS Topographic Data group at the EROS Data Center. This elevation data set provides worldwide coverage at a 30 arc second post spacing (approximately 700 to 1000 meters). This database is a composite of many data sources. The primary data source is the U.S. National Imagery and Mapping Agency's Digital Terrain Elevation Data (DTED) Level 1. The Global 30 Arc-Second elevation database consists of the generalized DTED data where ever it is available. Gaps in the generalized DTED data are filled with the best available data from other sources. One of the sources for filling gaps is elevation grids generated from the contour data provide from the Digital Chart of the World. If neither DTED or DCW data are available, then either ETOPO5 or elevation contours digitized from topographic maps were used.
Digital Chart of the World (DCW)
The Digital Chart of the World (DCW) is a worldwide vector based geographic information database. This data set, distributed on CD-ROM has a hypsography (contour) information layer that contains small-scale elevation information. With the proper software this data can be converted into point elevation data. The DCW was digitized from 1:1,000,000- and 1:2,000,000-scale base maps with 1,000 foot contour intervals and supplemental 250 foot intervals below 1,000 feet. In areas of high relief, the contours from the DCW readily supports a resolution better than 30 arc second elevation data. However, for areas of low relief, the 30 arc second elevation clearly shows more topographical structure. In other words, in relatively flat areas of the world, this information will probably not improve on the detail of the elevation information stored in the ETOPO30 data set. However, in areas of medium or high relief, the elevation data that can be generated from the DCW data set can be used when resolutions better than 30 arc seconds are required, especially when detailed linear hydrographic information is used to produce the final digital elevation data. Some private concerns are creating substitutes elevation data from DCW for missing 3 arc second elevation data.
Digital Elevation Model (DEM)
The Digtial Elevation Model (DEM) elevation data, produced for the United States and its possessions by U.S. Geological Survey comes with sample spacing varying from 30 meters for 7.5-minute DEMs to 3 arc seconds (70-90 meters) for 1:250,000 scale maps. All DEM data are similar in logical data structure and are ordered from south to north in profiles that are ordered from west to east.
7.5-minute DEM data are produced in 7.5-minute units which correspond to USGS 7.5-minute topographic quadrangle map series. 7.5-minute DEM data consist of a regular array of elevations referenced horizontally on the Universal Transverse Mercator (UTM) coordinate system of the North American Datum of 1927 (NAD 27).These data are stored as profiles with 30-meter spacing along and between each profile.
15-minute DEM data correspond to USGS 15-minute topographic quadrangle map series in Alaska. The unit sizes in Alaska vary depending on the latitudinal location of the unit. 15-minute DEM data consist of a regular array of elevation referenced horizontally to the geographic (latitude/longitude) coordinate system of North American Datum 1927 (NAD 27). The spacing between elevations along profiles is 2 arc seconds of latitude by 3 arc seconds of longitude.
30-minute DEM data covers a 30-minute by 30-minute area which correspond to the east half or west half of the USGS 30- by 60-minute topographic quadrangle map series for the conterminous United States and Hawaii. Each 30-minute unit is produced and distributed as four 15- by 15-minute cells. 30-minute DEM data have the same characteristics as the 15-minute DEM data except that the spacing of elevations along and between each profile is 2 arc seconds.
1-degree DEM data are produced by the Defense Mapping Agency in 1-degree by 1-degree units which correspond to the east half or west half of USGS 1- by 2- degree topographic quadrangle maps series, for all the United States and its territories. 1-degree DEM data consist of a regular array of elevations referenced horizontally using the geographic (latitude/longitude) coordinate system of the World Geodetic System 1972 Datum. A few units are also available using the World Geodetic System 1984 Datum. Spacing of the elevations along and between each profile is 3 arc seconds with 1,201 elevations per profile. The only exception is DEM data in Alaska, where the spacing and number of elevations per profile varies depending on the latitudinal location of the DEM.
Digital Line Graph (DLG) Contour Layer
A standard form of digital cartographic data published and distributed by the US Geological Survey is the Digital Line Graph (DLG). This product line contains detailed hypsographic and hydrographic information that can be used to produce accurate digital elevation matrices. Three distinct types of DLG data are available for the US and its territories:
National Imagery and Mapping Agency (NIMA)
The U.S. National Imagery and Mapping Agency (NIMA) is chartered to provide mapping, charting, and geodetic data for areas of the world of potential interest to the U.S. Department of Defense. This charter and also because of national alliances the NIMA area of interest is extensive. Because of these same alliances and other national security related factors, NIMA must restrict the distribution of much of the mapping and imagery data. In fact, for the same reasons, information concerning the availability of data is restricted.
Digital Chart of the World (DCW)
The Digital Chart of the World (DCW) is a world-wide, small-scale geographic database produced by the National Imagery and Mapping Agency (NIMA), formerly the Defense Mapping Agency - DMA. The DCW database contains over 1,700 megabytes of data organized on four CD-ROMs. Each CD-ROM contains over 400 megabytes of data structured in approximately 5,000 to 7,000 directories and 30,000 to 40,000 separate files. Many of the feature tables contain over 200,000 feature records with the largest containing 600,000 records. The primary sources of information for the database are 1:1,000,000 scale Operational Navigation Charts (ONCs) and 1:2,000,000 scale Jet Navigation Charts (JNCs). For this reason care should be taken when using this data. Because the data set was derived from small scale representation of the Earth's surface, the level of detail is very low and absolute accuracy is also very low.
However, for small-scale representations of the Earth's surface DCW feature data has many uses. Among the many uses is the derivation of digital elevation data from the stored hypsographic information. Conversion of the vector contour lines can provide a low to medium resolution digital elevation matrix.
Vector Map (VMap) Level 0 also known as DCW Edition 2, is an updated and reformatted version of the Digital Chart of the World. It was designed to provide low-resolution vector-based geospatial data of the world. During the revision process, some of the deficiencies identified in the original DCW database were corrected. Some additional elevation data was added, however, large portions of the equatorial zonesof the world still lack contour data. Vegetation data was added to North America, however, much of the world still lacks detailed vegetation information.
As with the DCW data, VMap Level 0 can be used as a source of digital elevation data. Conversion of the vector contour lines can provide a low to medium resolution digital elevation matrix.
Digital Terrain Elevation Data (DTED) Level1
Level I DTED is the basic medium resolution elevation data source for all military activities and systems that require landform, slope, elevation, and/or gross terrain roughness in a digital format. Distribution of DTED and the Digital Data Products catalog is authorized to the Department of Defense, U.S. DoD contractors and to U.S. government agencies supporting DoD functions. Other requests shall be referred to Headquarters, NIMA.
DTED Level 1 is a medium resolution source of raw elevation data with elevation sampling at 3 arc seconds (70 to 100 meters apart) It is produced and distributed by the U.S. National Imagery and Mapping Agency (NIMA), formerly the Defense Mapping Agency - DMA. It is currently used in numerous military systems and applications that require digital data on terrain landforms, slope, elevation, and terrain roughness.
Digital Terrain Elevation Data (DTED) Level 2
Digital Terrain Elevation Data (DTED) Level 2 is a high resolution source of raw elevation data produced and distributed by the U.S. National Imagery and Mapping Agency (NIMA), formerly the Defense Mapping Agency - DMA. DTED Level 2 is a high resolution digital elevation data set with elevation sampling at 1 arc second (20 to 30 meters apart).
As with DTED Level 1, distribution of DTED Level 2 is restricted to the U.S government, certain military contractors, and selected foreign national government agencies. It is currently used in numerous military systems and applications that require digital data on terrain landforms, slope, elevation, and terrain roughness. Because of the density of this data set and the size of the files necessary to cover large areas, only small scattered patches of DTED Level 2 are currently available.
Foreign National Mapping Agencies
Most nations have organizations similar to the US Geological Survey and/or the National Imagery and Mapping Agency (NIMA), with the express charter of producing mapping and mapping related digital products for there region of the world. These organizations, as is the case with NIMA, are often restricted by alliances and security regulations that will often prevent the distribution of detailed mapping data.
For a detailed catalog of available worldwide elevation data from all sources, consult Bruce Gettings' Digital Elevation Model Catalog. This Web site is designed to send to each requestor five email files. These files, once sequentially reassembled constitute a comprehensive listing of all readily available elevation data worldwide. It does not include information on any data that has limits placed on distribution. It also does not have a detailed listing of hard copy map coverage with printed contour data.
Third-Party Value-Added Data Commercial Data Sources
There are numerous third-party, value-added commercial data sources that, for a price will provide digital elevation data throughout the world. For example, the British firm Woolleysoft advertises a 75 meter DEM data set of Europe from the Atlantic Ocean to the Ural Mountains. Several U.S. firms resample and add information to the standard Digital Chart of the World (DCW) and offer the value-added data for sale.
Engineering/Aerial Photographic Firms
Photogrammetric from aerial/satellite imagery
SPOT, Landsat, or aerial photography when viewed in stereo show exaggerated elevation detail. However, when sound mathematical procedures are applied to digital stereo imagery very accurate elevation data can be extracted. Photogrammetric elevation data capture can be performed from either stereo aerial photography or stereo satellite imagery such as SPOT or Landsat. Additionally, there are a number of newer sources that are also being developed for elevation data extraction. These include radar, laser altimetry, and synthetic aperture radar (SAR) interferometry. Although these forms of imagery may not come under the classical photogrammetric discipline, the mathematical approach to elevation extraction is derived directly from classical photogrammetry.
The ability to exploit detailed and accurate elevation information from stereo photography is not a new process. Sound mathematical procedures have been in existance for many years. It is a relatively recent development though, that allows this type of processing to be performed on inexpensive workstations.
However, beware of certain pitfalls in purchasing and developing a photogrammetric capability in your organization. Initial startup costs, though relatively inexpensive are usually in excess of $150,000 per workstation. This does not include the expense of operator training, which is $10,000 or more per operator for a formal classroom experience.
Field Survey
Elevation data derived from field survey operations is the most accurate method of obtaining data. This is done by physically taking measurements along a grid of positions on the ground. The values obtained during the field survey are subsequently stored in a digital form. Very high levels of precision are attained using this method of digital elevation data collection. However, because of the amount of time required to obtain this level of detail, this is the most expensive and most time consuming method of producing digital elevation data. Because of the time required, it is only feasible to use such ground surveys for very small projects. Traditionally, these project are small housing or commercial developments.
This data is usually in hard-copy, elevation contour format, however, more and more civil engineering organizations are creating and storing XYZ ASCII text data. This information is usually not available for download but must be obtained directly from survey and civil engineering firms which have worked in the region of interest.
Cartographic
Since the mid-1980s scanning technology has been used extensively in the digital data capture arena. Many practitioners had the vision that scanning technology, along with a black-box approach to raster-to-vector conversion, would be the solution to their digital data capture problems. This black-box concept was based on the idea that using advanced neural-net and other specialty artificial intelligence software, hard-copy documents could be converted into a GIS database with little or no human intervention. Over fifteen years have passed and still no black box exists that will perform raster-to-vector conversion in such a way that minimal editing is necessary. Large amounts of capital have been invested in research into automated data conversion systems. For a variety of reasons, such as vaying source material quality, legibility, and reliability, the black box approach to automated data conversion is still not possible. However, a rational mixture of automated and manual processing can be used to efficiently convert linework on hard-and soft-copy maps into a DTM. There are currently two accepted processes for capturing contour line work: (1) manual digitizing or (2) scanning and vectorizing.
A broad outline of the primary steps involved in the cartographic generation of digital elevation data follows:
DTMs derived from digital hypsography or contours on hard-copy maps are perhaps the most common of all sources. This is because digital hypsographic data have been developed from analog maps for the longest time when compared with the other sources. Contours from analog maps are normally digitized by manual digitizing, semi-automated line-following, or automatic raster-scanning. After the linework has been captured in a digital form, the data are geo-referenced to the datum plane, vectorized, edited and attributed with elevation values.
The DCW hypsography (contour) information layer is included on all four DCW CD-ROMs. The DCW was digitized from 1:1,000,000 and 1:2,000,000-scale base maps with 1,000 foot contour intervals and supplemental 250 foot intervals for areas below a 1,000 foot elevation. In areas of high relief, the contours from the DCW readily support a resolution better than the 30 arc second elevation data. ARC/INFO algorithms current exist that will create medium resolution DEM data from the DCW hypsography and and linear hydrography layers.
If USGS Digital Line Graph (DLG) materials at 1:100,000 scale or better are available, software that will allow the conversion of this data into a digital matrix of elevation values can be used to create very detailed digital elevation data.
Generated locally
Early elevation data was generated locally using manual interpolation methods. This involved manually interpolating each digital elevation value from contour line information on hard copy maps. Use of this time consuming process is limited by the time required to create an adequate data set and also by the lack of accuracy (especially when considering the operator fatigue factor.) For obvious reasons, this process is rarely used for generating digital elevation data.
There are currently two processes that can be used to generate elevation data locally:
The cartographic process, described above, involves either manually digiting contour lines or scanning and performing a raster-to-vector conversion. A TIN is then created from the resulting data, and a DEM is generated as final output.
The more expensive photogrammetric process, also described above, is only available within the UNIX workstation environment. However, it will soon be available on the Windows NT platform. This software will then be available to a wider portion of the topographic community.
| Elevation Data Set | Format | Post Spacing | Linear Distance | Area of Coverage |
|---|---|---|---|---|
| US Navy 10' | DTM | 10 arc minutes | 18.4 Kilometers | Global |
| ETOPO5 | DTM | 5 arc minutes | 9.2 Kilometers | Global |
| GTOPO30 | DTM | 30 arc seconds | 921 meters | Global |
| DTED Level 1 | DTM | 3 arc seconds | "100 meters" | Worldwide w/Gaps |
| DTED Level 2 | DTM | 1 arc second | "30 meters" | Locally |
| DLG | Contours | ----- | ----- | US & Possessions |
| Source Material | Format | Elevation Resolution | Area of Coverage |
|---|---|---|---|
| ADRG | Digital Raster | Medium-High | Worldwide w/Gaps |
| DCW | Digital Vector | Low | Worldwide w/Gaps |
| Paper Maps | Hard Copy | Medium-High | Worldwide w/Gaps |
| Stereo Photos | Hard/Soft-copy | Medium-High | Local |
| Airborne Radar | Digital RF | Medium-High | Local |
| Field Survey | ----- | High | Local |
Exercise - Download the Digital Elevation Model Catalog
Learning Objectives:
Topics
Where, on the Internet is free software to manipulate and display digital elevation??
Often we are prevented from using data because the software tools are not available to manipulate and/or display available data. The data may be in the wrong format, it may need to be edited, or we might just wish to visually inspect a data set prior to installing it into a database. Many times the tools are not readily available to perform these tasks. The result is that data is often overlooked because the software tools to manipulate the data are not available.
However, it is often possible to find free or very reasonably priced software on the Internet, software that will perform the functions necessary. Three categories of downloadable software exist: freeware, shareware, and commercial software.
Freeware, as the name indicates is software that can be downloaded and used at no charge. Freeware is distributed on the Internet as compressed executables and often source code is also included. To uncompressed the software after download requires that decompression software be available in the host computer. Most of these decompression routines are also available for download free of charge on the Internet.
Shareware is software that is also downloadable from the Internet, but use of shareware has restrictions. True shareware is a fully functional version of the software. The owner/author though, has placed a requirement that long-term use of the product is allowed only if the recipient pays a small fee. Short-term use of the product, for testing and demonstration purposes is allowed at no charge. Use and subsequent payment of the shareware fee is on an honors system. It is up to the good will of the recipient to honor the shareware agreement and pay the owner/author when it is required. Some shareware authors encourage prospective purchasers to honor the shareware agreement by disabling critical portions of the software. Quite often saving of data or printing of output is intentionally disabled in the shareware version. Upon paying a shareware registration fee, the disabled portion of the software is made fully functional.
Commercial software is often available for download from the Internet as a demonstration version of the software. Demonstration version of software are severly limited in the functionality that is available to the user. A fully functional version of the software is only available after the software is purchased.
Functional software, either freeware, shareware, or commercial software is readily available throughout the Internet. However, as with any thing that is free, problems may arise when downloading or using the software. Remember that the "health" of all software downloaded from the Internet should be considered suspect until virus checked. Also, there are usually no warranties, express or implied that accompany any software that is downloaded from the Internet. You should always thoroughly test all downloaded software before integrating it into any system.
Where, on the Internet is free digital elevation data??
Downloading information from the Internet can be very easy if you know where to look. Below we've listed some FTP sites for digital elevation data available on the worldwide web. To find out more about each listed site, click on its name and review the contents at the location.
This data set can be downloaded as a single file at:
The global elevation data available at this site is in the form of 33 very large data files (5-20 megabytes per file). This site has a very convenient map display which allows interactive selection of the region of the world to be downloaded. Because of the size of the files though, downloads form this site should only be performed during low-peak Internet hours. Data for the entire world, when compressed totals 290 megabytes.
The only full collection of USGS DEM available on the Internet is the 1:250,000 scale DEM of the US and Hawaii. Other larger scale USGS DEM data sets are available individually at various locations. However, there is no download location, on the Internet for the entire large-scale DEM data set of the US. This must be obtained through standard procurement channels.
This site allows interactive download of tiled DCW data for the entire world.
This extract of the DCW North America data set is a tiled database as shown by the red outlined on the index graphic. Simply click on the map tile to be retrieved. A data set in ARC/INFO workspace format will be downloaded.
Elevation data in the form of USGS Digital Line Graph (DLG) digital contour lines is available on the Internet in two scales. The entire United States is covered by 1:100,000 Digital Line Graph data and this information is available on the Internet. Only the Hypsography data is required if downloading data for the sole purpose of elevation extraction. 1:100,000 DLG data can be downloaded from the following sites:
HREF="http://edcwww.cr.usgs.gov/glis/hyper/guide/1_dgr_demfig/states.html">1:100, 000 DLG Data Download Site (by State Name and Map Name)
Large-scale Digital Line Graph digital contour line information is available at varying scales of 1:62,500, 1:50,000, and 1:24,000 for many areas of the United States. Large-scale DLG data can be downloaded from the following sites:
If the Internet locations referenced above do not contain the elevation data required for your particular task, there is another Internet location that will assist you in finding data. However, most of the referenced data is not available thru Internet download and must be obtained through more traditional procurement processes. This site contains a comprehensive worldwide list of references for the most current location of elevation data, both analog and digital. Bruce Gitting's Catalogue Of Digital Elevation Data contains references to digital data in all forms and also the more traditional forms of elevation. This listing itemize all the known elevation data that is available both on the net and through more traditional procurement sources
Exercise 2: Downloading Digital Elevation Data from the Internet
First, download a freeware elevation data viewer.
Download a small-scale digital terrain data set
Download a 1:250,000 Digital Elevation Model (DEM)
Download a Digital Line Graph Hypsography Data Set.
Mastery: To attain a mastery of the material in this unit the student will have developed the ability to independently plan and execute an elevation source data collection operation.
Learning Objectives:
Topics:
Unit Concepts
Learning Objectives:
Topics
What are those factors that regulate an elevation data production effort??
The planning effort necessary for the production/gathering of elevation data is not limited to purely an analysis of where the available data is located and how to get one's hands on it. As with any production planning effort, organizational assets and limitations must be compared to project requirements and a "plan of attack" created. It is important that a plan be developed that considers all organizational limitations that have even the slightest bearing on the project. This approach will insure that fewer surprises will arise during the project. The following list generally outlines those factors that must be considered when planning an elevation data collection effort:
2. What is the logic necessary to determine the terrain data necessary for a project?
The following flow diagram outlines the steps that are necessary in the decision making process when planning which elevation data to use in a project.
3. Ensure that the datum and projection of source materials match or are converted to the project datum and projection.
4. Conversions
Murphy's Law of Data Acquisition says that, inevitably, any data that is readily available will be in a format that is incompatible with its intended use. Therefore, it is essential that a suite of elevation data conversion tools be available. Sol Katz's Data Conversion Tool Kit contains a wide variety of PC software to perform many of the conversions that will over time be necessary. A shareware routine - TerrainMap 3.0 (tmap30), provides the ability to import, export, and convert between TINs, DEMs, ASCII text xyz, and contour in DXF format. The shareware version is fully functional on only a small data set whereas there is no limit to the data set size for a fully licensed copy of tmap.
Exercise: Retrieve and Use Software to Manipulate Elevation Data
Perform elevation data conversion.
Merge Elevation and other Geographic Data
Defense Mapping Agency. 1992. Development of the Digital Chart of the World. U.S. Government Printing Office; Washington, DC.
Defense Mapping Agency. 1992. Military Standard - Digital Chart of the World (DCW) Database: Mil. Specification MIL-D-89009. U.S. Government Printing Office; Washington, DC.
Defense Mapping Agency. 1996. Military Standard - Digital Terrain Elevation Data (DTED): Mil. Specification MIL-PRF-89020. U.S. Government Printing Office; Washington, DC.
Defense Mapping Agency. 1995. Military Standard - Vector Smart Map (VMAP) Level 0: Mil. Specification MIL-V-89039. U.S. Government Printing Office; Washington, DC.
Defense Mapping Agency. 1996. Interface Standard for Vector Product Format (VPF): Mil. Specification MIL-STD-2407. U.S. Government Printing Office; Washington, DC.
Defense Mapping Agency. 1997. Draft Vector Product Format (VPF)Symbology: Mil. Specification MIL-PRF-98045. U.S. Government Printing Office; Washington, DC.
Defense Mapping Agency. 1997. Draft Vector Product Format (VPF)Design Manual: Mil. Specification MIL-HDBK-853. U.S. Government Printing Office; Washington, DC.
Department of the Interior. 1990. Digital Elevation Models Data User's Guide; National Mapping Program Technical Instruction No. 5. U. S. Geological Survey, Washington, DC.
Hutchinson, M.F. 1988. Calculation of hydrologically sound digital elevation models. Proc. Third Inter. Spatial Data Handling. Columbus, OH.
Hutchinson, M.F. 1989. A new method for griding elevation and stream line data with automatic removal of pits. Jour. Hydrology. 106:211-232.
Montgomery, Glenn E. and H. C. Schuch. 1993. GIS Data Conversion Handbook. GIS World Books, Fort Collins, Colorado.
Environmental Systems Research Institute. 1991. GRID User's Guide. Environmental Systems Research Institute. Redlands, CA.
Sol Katz' Geographic Software Archive
This is by far the best location for free software to manipulate geographic data. Both source code and executables are available for routines to perform elevation conversion and a variety of other tasks. The conversion routines include dem to dxf, dem to xyz, and xyz to dxf. In addition a contouring routine, a rastor-to-vector software suite and a very nice .dxf viewing tool are available.
MicroDEM - A Terrain Visualization Tool
The MICRODEM program allows the manipulation of gridded digital elevation models (DEMs), satellite imagery, and vector map data like DLG and TIGER. The files in the directory are all self-extracting MS-DOS files. Suggestions, questions or problems with this program should be directed to pguth@charleston.nadn.navy.mil.
Contour - A Contour to .dxf Conversion Routine.
With this freeware, digital vector contour data can be converted to .dxf format.
SPLAT - A Contouring Software Package
This software allows the creation of contour elevation data from randomly located points.
qgrid33.zip - A Contouring Software Package
QGrid33 is a software package that allows random data or gridded data to be generated into a set of contour lines. It also converts loaded bmp, gif, jpg files to dxf terrain data.
The package dxft.zip may in the future be found at the following Internet URL:
GMT - a Public Domain GIS
At this University of Hawaii FTP location, the public domain mapping software "GMT" can be found. Because the full set of files are huge mirror sites have been set up in Europe and the US east coast. Use the site that is geographically closest to you to improve transmission throughput. These other sites are: East Coast US and Oslo, Norway
TMAP30 - A Terrain Mapping, Modeling, and Visualization program.
This package allows the creation, editing and viewing of raw elevation data and the visualization of 3D perspective views.
3DEM - Terrain Visualization Software
3DEM will produce ray traced landscape scenes and flyby animations from USGS Digital Elevation Model (DEM) files, USGS Global 30 Arc Second Elevation Data Set (GTOPO30 DEM) files, NASA Mars Digital Topographic Map (DTM) files, or any topographic data file which is organized by rows and columns of elevation data. 3DEM will also produce realistic fractal landscape scenes. At this site, software is available for Windows 3.x, Windows 95, and Windows NT.
Wilbur - Terrain Visualization Software
Although this software is strangely named, it is a very nice terrain visualization routine.
DEM3D - Terrain Visualization Software
DEM3D is a Windows 95 software for viewing U.S. Geological Survey's Digital Elevation Models (DEM). This is an experimental version of a public domain terrain visualization routine currently under development. Sample DEM data and a user's manual are included.
National Geospatial Data Clearinghouse (USGS node)
This Web site is the home page for information about USGS data holdings. You can browse through pages describing various USGS data series, and when you find a data set of particular interest, you can click on a symbol and see its complete metadata, including instructions on how to order it. Alternately, keywords and latitude/longitude bounds can be used in a powerful searching mode to scan the entire USGS collection. Data themes included are:
These indexes are the same as the graphic indexes showing the availability of the DEM 7.5' and 15' Units, DEM 1-Degree Units, DLG 7.5' and 15' Units, DLG 30' Units, LULC 30' Units, LULC 1-Degree Units, CD ROM Data, and also about 400 DOQ listings.
U.S. Navy 10-Minute Elevation Data
10 arc-minute (approximately 11 statue mile post spacing) elevation data for the entire world.
5 arc-minute (approximately 5.5 statue mile post spacing) elevation data for the entire world.
30 arc-second (approximately 0.6 statute mile post spacing) elevation data for the entire world.
DEM of the USA 1:250,000 scale
3 arc-second (100 meter post spacing) DEM data in 1 degree square segments is available for most of the U.S. Beware, the data is in WGS72 datum.
Digital Chart of the World (DCW)
The DCW is a worldwide vector based data set. The following named site allows interactive download of tiled DCW data for the entire world.
Digital Line Graph (DLG) Hypsography
Digital contour line information from USGS 1:24,000 scale 7.5 minute quadrangle topographic maps.
Worldwide 2 Minute Sea Floor Topography Data - ETOPO6_2
Digital terrain model of worldwide ocean sea floor at post spacing of two nautical miles.
DEM of the USA 1:24,000 scale
This ftp download site, ftp://spectrum.xerox.com/pub/map/dem/ has a good selection of high resolution 7.5' DEM files for the US.
Matrix data files of radar altimetry of Venus from the Magellan satellite are available at http://delcano.mit.edu/mgn/DATA/GxDR/gtdr/sinus/. Data which can be processed by 3DEM are available here as *.img files which are made up of a 2048 byte header followed by 1024 column by 1024 row matrix of 16 bit signed integers (Little Endian) with a 5000 meter grid spacing. Each *.img file has an associated *.lbl file with information about latitude and longitude and other characteristics of the data. This is large scale data, so don't expect to see small detail in the surface. However, you can produce high altitude flybys of Venus from this data.
DTM files for Martian Landscapes
DTM files for a large portion of the Martian landscape are available for download at http://www-pdsimage.JPL.NASA.GOV/jukebox/viking/vo_2007/. Here you will see a large group of folders with names beginning with the letters "mg" and "tg". Always choose a "tg" folder to get digital terrain data ("mg" files are photo images.) The following files are good choices:
The Web site, http://imager.ldeo.columbia.edu/ridgembs/ne_pac/html/home.html is a source of bathymetric data from several ocean areas of the world. Use the 3DEM software to load this data.
VRML Topographic Map Generator
This site allows the interactive generation of VRML scenes of topographic maps of the world. ETOPO5 data, 5 arc second elevation data is used as the topographic and bathymetric surface. This surface can then be colored based on the actual elevation, or texture mapped with biophere data, AVHRR imagery, or the CIA's World Data Bank texture.
Woolleysoft Ltd. - A British Topographic Firm
Descriptions and examples of terrain draping operations.
Digital Elevation Models for Professionals
More examples by Woolleysoft Ltd. of maps and images draped over terrain. There are also two fly-thru demonstrations available for download.
NCGIA GIS Core Curriculum Units 38 &39 - Digital Elevation Models and The TIN Model
These lessons provide an overview of digital elevation models and TINs. Although the entire cuuriculum is currently being revamped, the information contained in these units is accurate and might be helpful as introductory information.
This tutorial demonstrates the proper way to create a TIN in the UNIX ARC/INFO environment. Numerous fragments of .AML code and command line executables are included in this tutorial.
Would you like to make synthetic (artificial) terrain data? The following free/shareware references are for software that allows the generation of synthetic terrain data.
GFORGE Uses an Inverse Fourier transform terrain generation technique that creates beautifully tilable, seamless terrains.
Bryce_2 This is a full 3D modeling program that also happens to include a lot of options for creation and rendering terrain. Uses a ray tracer routine to render beautifully shaded landscapes.
Ray Dream Designer This is a full 3D modeling package that also supports terrain creation and rendering.
Terrain Forge This software generates synthetic terrain.
Terrain Maker Generates synthetic terrain using a classic plasma algorithm.