A Comparison of Free GPS Online Post-Processing Services

By Mark Silver

You are probably familiar with the National Geodetic Survey’s OPUS suite of online post processing tools (OPUS-Static, OPUS-Rapid Static and OPUS-Projects.) These services are capable of producing centimeter-level positioning from static GPS observations. What you may not realize is there are at least six viable alternatives to OPUS.

All are free, easy to use, provide world-wide coverage, and generate surprisingly similar results.

Since each uses a unique baseline tool and processing strategies they form an excellent reality check against each other.

IGS orbits and the IGS permanent CORS arrays are used by many of the services, however some use proprietary equipment arrays and orbit products that provide additional redundancy.

How comparable are these services? Which one is the best?

Criteria for Comparing

Comparing results is a difficult proposition:

  • The true/correct answer for any site is unknown.
  • What grading scale should be used? Should elevation differences be weighted differently than horizontal differences?
  • Should the peak-to-peak range or the standard-deviation be prized?
  • Should comparisons be made on long 24-hour data sets or short 2-hour occupations?
  • Is a single data set sufficient for a meaningful comparison or are multiple data sets preferable?
  • Should a service be ‘thrown out’ of consideration because the solutions are substantially different from the mean?

The answer to all of these questions is “it depends.” Your evaluation will depend on your specific application.

For this evaluation, the following rules governed the data set selection:

  • Choose a site known to be stable with a clean EMI environment.
  • Use 24-hour observation sets to enable ‘best case’ processing.
  • Use a sufficiently large data set, 32-consecutive days, to expose trends.
  • Choose a time period, 90-days in the past, so precise orbits are available to reduce ephemeris effects.
  • Only consider GPS data.
  • Use default settings for every option on each processing service.


This would not be as interesting without a little competition.

To keep the evaluation simple, the sum of the X, Y and Height range will be the score and the services will be ranked from lowest score to highest score, with the low score being the ‘best.’

Range was chosen as an indicator of the expected maximum error that might be encountered if only a single 24-hour file was observed.

The combined range rewards a processing scheme that best estimates delays, interference, clock errors and other sources of change that occurred during the 32-day trial.

Remember that the every aspect of this ‘competition’ is arbitrary: from the selection of observation sets, to the final scoring system.

The real take-away from this evaluation is not that one service is better, but how close all of the services are to each other.

Two services (JPS’s APPS, magicGNSS) won’t be acceptable to the average user and a third (RTX Centerpoint) may not work for some users based on receiver and antenna support. Details of these problems are presented with the service descriptions below.

The Test Data

SGU1 in St. George, UT USA was chosen as the observation base. The observations consist of 32 consecutive days (May 3, 2013 through June 3, 2013), 24-hour observation files, 30-second interval, GPS only data. The data files were downloaded from the NGS CORS archive.

Each of the 32 files were submitted to each of the processing services and the results have been tabulated for X, Y and Ellipsoid Height. All data is presented in IGS08 current epoch framed coordinates. All data has been projected to UTM Meters for these comparisons.

The Average Values

Remember, the real story is how close each of these services produce results to one another. Let’s look at the average positions from each service and the difference from OPUS:

Fig 1: Average Solution Difference from OPUS

Fig 1: Average Solution Difference from OPUS

As you can see in Figure 1 above, the services were generally within 5mm of OPUS in X, Y and Height.

Position Tracking vs. Time

Fig 2: Service Results X vs. Time

Fig 2: Service Results X vs. Time


Fig 3: Service Results X Range, Average

Fig 3: Service Results X Range, Average


Fig 4: Service Results vs. Time

Fig 4: Service Results vs. Time



Fig 5: Service Results Y Range, Average


Fig 6: Service Results Z vs. Time

Fig 6: Service Results Z vs. Time


Fig 7: Service Results Z vs. Time

Fig 7: Service Results Z vs. Time


And the Winner Is…

Following are the scores, based on the combination of X, Y and Height range:

Fig 8: The Scores

Fig 8: The Scores


Score ranking (remember this is just for fun as the services provided remarkably similar results):

  2. CenterPointRTX
  3. GAPS
  4. APPS
  5. OPUS
  7. magicGNSS

There is a significant issue in the JPL APPS’s reported output positions, which will keep it from being of any use to most users. magicGNSS’s results are significantly different than the other services. User’s should independently evaluate magicGNSS’s suitability for their purpose. SOPAC’s SCOUT could not be evaluated because it patently does not support either the receiver or antenna that was used at the test site.

AUSPOS: Geoscience Australia

Score: 0.023

Submittal Page: http://www.ga.gov.au/bin/gps.pl

AUSPOS is a free service from Geoscience Australia. Access is via a simple web interface, the antenna height and type are entered along with a email address for the returned report set. File submission is via FTP or directly from the web interface.

The returned PDF report is the best looking of the reviewed services and includes a Processing Summary showing a map of the CORS sites that were used in the solution. SINEX files are also available.

AUSPOS uses the Bernese GNSS Software for processing baselines, IGS orbits and IGS network stations. Solutions are available for anywhere on the earth.

RINEX files need to be at least 1-hour in length, 6-hour files are recommended. Compact RINEX files are also accepted. Files may be compressed with UNIX, Hatanaka, ZIP, gzip or bzip compression.

Centerpoint RTX Post Processing: Trimble Navigation Limited

Score: 0.030

Submittal Page: http://www.trimblertx.com/UploadForm.aspx

CenterPoint RTX Post Processing is a free service offered by Trimble.
It works anywhere in the world and is based on a proprietary Trimble 100+ worldwide CORS network. Accuracy is 2 cm with 1-hour of observation data; 1 cm with 24-hours. Files longer than 24-hours are not accepted.

RTX uses GPS, GLONASS and QZSS tracked SV’s.

The reported output frames include ITRF2008 at current epoch and a user selectable frame like NAD83/2011 2010.0. RTX is one of the few services that will directly export NAD83 framed results.
A single page PDF and a XML result file are returned by RTX. Unfortunately, it is not possible to copy numerical results from the read-only PDF result file to the clipboard.

RTX supports a limited number of receivers (Trimble, Ashtech, Javad, some Leica, some Topcon) and a relatively small subset of IGS modeled antennas. For this test, TEQC was used to stuff the RINEX headers with a comparable Trimble receiver to the actual Ashtech ProFlex 500 receiver that is in use at SGU1. This was all that was required to spoof an accepted device. If the antenna had not been listed, it would have been necessary to spoof the antenna and adjust the height to reflect the difference in L1 phase center offset.

GAPS: University of New Brunswick

Score: 0.032

Submittal Page: http://gaps.gge.unb.ca/indexv520a.php

GAPS is an ongoing project at the University of New Brunswick and was developed by the Department of Geodesy and Geomatics Engineering.

File submission is by a web page and GAPS provides a large number of user inputs and potentially allows the highest level of customization of any of the reviewed services:

  • You may enter a priori coordinates, and a priori constraints
  • GAPS accepts static or kinematic files
  • You can set the elevation mask
  • The Neutral Atmosphere Delay model is selectable
  • Earth Body Tides and Ocean Tidal Loading can be applied or disabled

GAPS only processes GPS data (no GLONASS.)

Submitted filenames must adhere to the SSSSDDDh.YYt file format. GAPS accepts RINEX and compact RINEX files, they may optionally be gzip, unix compressed or ZIP compressed.

APPS: Jet Propulsion Laboratory

Score: 0.033

Submittal Page: http://apps.gdgps.net/apps_file_upload.php

WARNING! APPS only reports the derived position to the nearest decimeter-meter in geographic (lat/lon) coordinates, while reporting ECEF coordinates to a fraction of a millimeter. If you choose to use APPS, you will need to manually convert the ECEF XYZ to geographic coordinates.

JPL’s APPS is based on GIPSY-OASIS (currently version 5). APPS uses NASA’s 70+ Global GPS Network plus densification from other systems (100+ total receivers distributed globally.) Solutions are typically available with 5 seconds delay from observation.

APPS is easy to use, you just specify a file to upload and then click on ‘Upload’ it takes only 15 seconds to get a result after the file upload is complete. You can optionally register for a free account and use email or FTP for bulk uploads.

APPS also has receiver Live Performance Monitoring: (http://www.gdgps.net/monitoring/index.html) which generates a real time graph of three receivers spread through the world.

OPUS: U.S. National Geodetic Survey

Score: 0.035

Submittal Page:  http://www.ngs.noaa.gov/OPUS/

OPUS solutions are the most common PPP Post-Processed solution in the United States. Two flavors of OPUS are available for single points:

  1. OPUS-Static: Available worldwide, requires 2-hours of data
  2. OPUS-Rapid Static: Available with sufficient nearby CORS stations, requires 15-minutes of data

Long occupations (6+ hours) result in excellent horizontal and GPS-derived ellipsoid heights.

The new OPUS-Projects service processes multiple receivers through multiple sessions to a final processed network adjustment.

CSRS-PPP: Natural Resources Canada

Score: 0.039

Submittal Page: http://webapp.geod.nrcan.gc.ca/geod/tools-outils/ppp.php

Before using CSRS-PPP, you will need to register for a free user account.

CSRS has a fantastic desktop application named PPP-Direct that you can just drag and drop files onto. PPP-Direct automatically submits the file and saves all typing, greatly reducing the chance of error.

CSRS-PPP uses both GPS and GLONASS (if available) observables. Ocean Title Loading corrections can be overridden.

CSRS-PPP will accept single frequency files for processing. CSRS will accept RINEX and Compact RINEX, and will decode ZIP, GZIP and unix compression formats.

CSRS-PPP has a fantastic PDF report, a .csv file detailing results epoch by epoch and a great machine readable summary file.

The desktop submission tool, coupled with the great output reports made CSRS-PPP my favorite tool.

magicGNSS: GMV

Score: 0.081

Submittal Instructions: http://magicgnss.gmv.com/ppp/

magicGNSS Blog: http://magicgnss.gmv.com/wordpress/

magicGNSS accepts emailed files and returns solutions by email. Turnaround time is fast and features a nice PDF report plus SINEX, receiver clock bias files, tropospheric delay, KML trajectory and RINEX CLK clock bias files.

Static and kinematic files with observations from GPS, GLONASS are processed by magicGNSS and the service reportedly Galileo-ready.

magicGNSS uses a subset of IGS stations to provide core coverage.

SCOUT: Scripps Orbit and Permanent Array Center (SOPAC). University of California, San Diego

Scout accepts RINEX and compact RINEX files, compressed (Z, gz, ZIP) submitted from an FTP site or pushed onto a provided FTP server.

Files must be generated on a limited subset of receivers and antennas. While the IGS antenna and receiver files are the basis for acceptable devices, not all IGS-listed devices are on the allowable device list. SCOUT documentation specifically warns against spoofing devices and antennas.

SCOUT uses the GAMIT processing engine.

Because the test data for this article is from a unsupported receiver and the submittal process requires a FTP host server with anonymous access which most users will not bother with, the output from SCOUT was not evaluated.


The similarity of results between all of the services I processed is amazing. That they differ only by millimeters demonstrates the robustness of the algorithms and processes they use.

The difference between AUSPOS, RTX, GAPS, OPUS and CSRS-PPP solutions are negligible. For important positioning projects, it undoubtedly makes sense to use them all.

For locations in the United States, OPUS and RTX return NAD83-2011 framed results. Only OPUS returns derived orthometric heights using GEOID12A. While OPUS has more provenance than the other services, it is easy enough to submit important observations to multiple services as a reality check for important positions.


As you read from Mark’s report above, note that some level of due diligence on your part is needed as requirements vary for each service. For example, static sessions for the OPUS-RS service can be as short as 15 minutes while other services require two hour GPS static sessions. Furthermore, some services process GPS L1 data while others require both GPS L1 and GPS L2 observations.

Here is a list of the eight free online GPS post-processing services:

  • OPUS: NGS GPS Data Processing Online Positioning User Service
  • CSRS-PPP: Canadian Spatial Reference System, Natural Resources Canada
  • AUSPOS: Geoscience Australia
  • GAPS: University of New Brunswick
  • APPS: Jet Propulsion Laboratory
  • SCOUT: Scripps Orbit and Permanent Array Center (SOPAC). University of California, San Diego
  • magicGNSS: GMV
  • CenterPoint RTX: Trimble Navigation

Click This Link to read a great article written by Eric Gakstatter of GPSWorld.com with a report on how all of these free online GPS post-processing services compare, including OPUS.

GPS only provides ellipsoid height – very accurate and very precise, but that is not elevation.  To obtain elevation information from an ellipsoid height we must utilize a theoretical model of the earth’s gravity field called “the geoid.”  Our knowledge of the geoid is only approximate, and it is very faulty in Louisiana because of the constant surface and subterranean movement due to consolidation, faulting, salt domes, and subsidence – the result being largely responsible for “coastal erosion” and the inability of benchmarks to remain reliable for more than a couple of years or so.  Therefore, the primary thrust of research must be with regard to a better understanding of the geoid as it exists in Louisiana coupled with the systematic processing of the decade of GPS observations archived in LSU’s server banks. Geoid ZenithWe have a research plan that is in physical geodesy which involves GPS observations, coupled with absolute gravity field observations at the same locations, and with zenith camera observations to determine the slope of the geoid at those same locations.  Eventually, many of those locations will need to be observed in precise geodetic leveling campaigns (a very expensive proposition also).

In the 1980s, benchmark densification projects were undertaken in Orleans, Jefferson, St. Bernard, and Plaquemines Parishes.  These projects consisted of 1st- and 2nd-Order Geodetic Leveling observations accompanied by 2nd-Order Relative Gravity (double ladder) observation surveys.  The total number of benchmarks surveyed was over 500 monuments, and all observations and descriptions were Blue Booked, accepted, and published by the National Geodetic Survey.    This was later followed by FG-5 Absolute Gravity observations first at the University of New Orleans which was observed multiple times and then at numerous GPS Continuously Operating Reference Station (CORS) sites throughout the State of Louisiana, some more than once by either the National Geodetic Survey or the National Geospatial-Intelligence Agency.  The density of these observations were at approx. 100 mile distances, and are not sufficient to provide significant data points to improve the geoid model.  The primary purpose for these observations was to provide an independent check on changes in ellipsoid heights observed at the LSU CORS sites.

Equipment needed is an A-10 Absolute Gravity Meter and a CODIAC Zenith Camera to supplement GPS observations in South Louisiana (and eventually North Louisiana).  The National Geodetic Survey recommends an observational density grid of 40 kilometers which will occupy field researchers for many years.  That data combined with our existing database will insure that the LSU GPS Real Time Network will provide centimeter-level accuracy for elevations throughout the state; a prime example of the direct impact that research has on practical applications.

NOTICE: NGS Update, August 17, 2012

The National Geodetic Survey has determined that the GEOID12 model was developed using erroneous input control points, primarily in the Gulf Coast region. Click here for more information. NGS immediately corrected these errors and developed the GEOID12A replacement model. GEOID12A is now available for public analysis and comment on the NGS Beta website for GEOID12A and will soon be released for production.

C4G will analyze GEOID12A and publish our findings as soon as possible. Click here to see a map of GEOID12A minus GEOID12, changes in the data used for GEOID12A are also noted on this map.


You can keep up with this and other C4G related topics by following us on Twitter, Facebook, YouTube, C4Gnet RSS feed and the C4G website.



Vertical controls for all surveys shall be determined in the North American Vertical Datum of 1988 (NAVD88). All measurements shall be referenced to local control stations of the National Spatial Reference System, specifically the public domain Louisiana State University Continuously Operating Reference Stations network or other currently National Oceanographic and Atmospheric Administration National Geodetic Survey approved reference stations, such as benchmarks, monuments, or continually operating reference stations.

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