Category: Survey

  • Handheld launches rugged Windows tablet Algiz 8X

    Handheld launches rugged Windows tablet Algiz 8X

    Handheld Group, a manufacturer of rugged mobile computers and tablets, has launched the Algiz 8X ultra-rugged tablet computer. The Algiz 8X is built for field workers who require a powerful, portable computer for mobile tasks.

    The Algiz 8X offers GPS and GLONASS positioning via u-blox, along with an 8-inch projective capacitive touchscreen that is ultra-bright and built for outdoor use. Enabling glove mode or rain mode allows for operation in changing weather. The chemically strengthened glass survives an impact test in which a 64-gram steel ball is dropped on the screen 10 times from a height of 1.2 meters. The Algiz 8X also comes with an optional active capacitive stylus.

    “The new Algiz 8X is the most compact and ergonomic Windows tablet we have ever developed,” said Johan Hed, director of product management.”We’ve pushed the limits of modern field technology with this product, fulfilling customers’ needs for powerful computing, mobility, outstanding screen performance and battery life. We made no compromises.”

    Built-in features

    The Algiz 8X rugged Windows tablet by Handheld Group.
    The Algiz 8X rugged Windows tablet by Handheld Group. Photo: Handheld Group

    The Algiz 8X comes standard with Windows 10 Enterprise LTSB to meet the needs of enterprise customers who value long-term stability. Other features include:

    • u-blox GPS and GLONASS
    • WLAN a/b/g/n/ac
    • BT 4.2 LE
    • A rear-facing 8 MP camera with autofocus and LED flash
    • 4G/LTE
    • Expansion options

    The Algiz 8X offers LAN port, COM port or barcode scanner options. It also features a “backpack” system that allows users to add custom features and electronics.

    Ruggedness

    The Algiz 8X is rigorously tested for use in tough outdoor and industrial environments. It’s IP65-rated for dust and water ingression and meets stringent MIL-STD-810G military standards for:

    • Operating temperature: -20°C to 60°C (-4°F to 140°F) — Method 501.5, Procedure II
    • Storage temperature: -40°C to 70°C (-40°F to 158°F) — Method 501.5/502.5, Procedure I
    • Drops: 26 drops from 1.22 meters (4 feet) — Method 516.6, Procedure IV
    • Vibration: Method 514.6, Procedures I & II
    • Humidity: 0-95% (non-condensing) — Method 507.5
    • Altitude: 4,572 meters (15,000 feet) — Method 500.5, Procedure I

    Orders can be placed immediately. Units will be in stock in March 2017.

  • Emlid unveils field-ready RTK GNSS receiver

    Emlid unveils field-ready RTK GNSS receiver

    Emlid has introduced a ruggedized, battery-powered real-time kinematic (RTK) GNSS receiver. The Reach RS enables centimeter-accurate positioning for survey, mapping, agriculture and drones once again changing our perception of the equipment cost.

    ReachRS-Emlid
    Photo: Emlid.

    With an integrated high-performance dual-feed antenna mounted on a large ground-plane Reach RS is able to reliably track GPS, GLONASS, Beidou, Galileo, QZSS and SBAS satellites.

    Reach RS is packed with many connectivity options. Via built-in Wi-Fi it is able to access NTRIP corrections, stream data to the cloud and fetch software updates. In remote areas Reach RS units can communicate via integrated LoRa radios giving you a reliable correction link on distances up to 8 kilometers. Solution data can be accessed over Bluetooth, Wi-Fi and RS232. Functionality is extendable even further using the USB OTG. With RTCM and RINEX support Reach RS is a seamless addition to your existing equipment.

    Power-efficient processor runs RTK engine with up to 14Hz update rate and can operate as much as 30 hours on a single battery charge. Easy charging over USB will never let you to run out of battery on mission.

    Reach RS comes with a ReachView web app that works on any device with a browser and does not require an internet connection. Easily configure settings, correction input and solution output. Record and download RINEX logs, view status, satellite signal strength, captured events and your location on a map. Two gigabytes of internal storage are available for raw data RINEX logs and solution tracks which can be easily accessed from the ReachView app.

    With IP67 rating and rugged polycarbonate enclosure Reach RS is ready for outdoor work. The receiver weighs only 700 grams and is just 145 millimeters wide making it one of the smallest and lightest RTK units available.

    For laying out GCPs, or other types of survey work two Reach RS units operate together, one in base and another in rover mode. Reach RS is also seamlessly compatible with already-available Reach module — compact and lightweight solution for drones with ability to integrate with autopilots for navigation and cameras for photo geotagging.

    The Reach module by Emlid.
    The Reach module by Emlid. Photo: Emlid.

    Reach RS is available for pre-order for $699 on Emlid’s website, the receivers are now being manufactured and will be shipped in mid-March 2017. Each Reach RS comes with an adapter for the survey pole, a USB cable, an antenna and a carry case.

    Emlid designs, manufactures and sells first truly affordable RTK GNSS Reach and Linux autopilot board Navio2. Reach RTK. receiver appeared due to incredibly successful crowdfunding campaign. By combining modern hardware with an open-source RTK engine Emlid opened high-accuracy GNSS for makers and entry-level surveyors by significant reduction of receiver cost. Reach also allowed commercial surveyors to drastically cut the bill on the equipment. Now company continues innovating at affordable RTK market and is focused on broadening the range of its products.

  • New version of DatuSurvey hints at ground control points

    New version of DatuSurvey hints at ground control points

    Datumate has released DatuSurvey version 5.1 for both Professional and Enterprise editions of the software. DatuSurvey (formerly DatuGram 3D) turns drone- and camera-based images to accurate, georeferenced 2D maps and 3D models, which saves the need for expensive and risky field work and expedites deliveries, according to Datumate.

    DatuSurvey Professional V5.1 now also includes:

    • Ground Control Points Hints – Once the model is built with the minimal requirement of 3 GCP’s on two images each, the system will start showing hints for selected GCP on all images it is not marked in. This will make the GCP marking easier and faster.
    • Differentiating Clusters in Map View – Different clusters are now shown in different colors in the map view.

    DatuSurvey Enterprise V5.1 now also includes:

    • Dense Point Cloud Generation Quality – Dense Point Cloud may now be generated at four different density levels as specified by the user.
    • Mesh and Texture Support – Dense Point Cloud may now be generated with mesh or with textured mesh. Mesh and texture may be exported to OBJ format.
    • True Orthophoto Export Quality – Orthophoto may now be generated at four different resolutions.
    • Visualization Viewer Improvement – 3D Viewer is able to handle up to 100 million points. Thus, viewing an excellent quality model with mesh and texture.
    • Volume Calculation Improvement – Volume calculation was improved to allow definition of stockpiles right on the dense point cloud, including physical and base surfaces. The definition process is now faster and easier, and the volume calculation of more precise.
    • Ground Control Points Hints – Once the model is built with the minimal requirement of three GCP’s on two images each, the system will start showing hints for selected GCP on all images it is not marked in. This will make the GCP marking easier and faster.
    • Differentiating Clusters in Map View – Different clusters are now shown in different colors in the map view.
    DatuSurvey by DatuMate.
    DatuSurvey by DatuMate.
  • New NovAtel firmware for OEM7 offers interference toolkit, RTK Assist

    NovAtel has launched its OEM7 7.200 version firmware. Version 7.200 firmware introduces powerful new positioning functionality including the company’s Interference Toolkit (ITK).

    The ITK allows users to detect and mitigate intentional interference such as the adversarial jamming of GNSS signals, as well as the unintentional interference from external sources. The new RTK Assist corrections service assures continued high-accuracy positioning when signals from a real-time kinematic (RTK) network are unavailable or disrupted.

    With the ITK, NovAtel’s OEM7 customers can auto-detect and report in-band radio frequency (RF) interference so that any interference adversely affecting their receiver’s positioning performance can be quickly nullified.

    In combination with the 7.200 firmware launch, NovAtel is introducing NovAtel Connect 2.0, the latest version of its PC-based graphical user interface (GUI). Running on Microsoft Windows 10, NovAtel Connect 2.0 offers significant user enhancements including features to optimize ITK functionality.

    Firmware version 7.200 expands NovAtel’s proprietary correction service capabilities with the introduction of two new subscription-based offerings:

    • TerraStar-L 40-centimeter correction service. This Precise Point Positioning (PPP) correction service delivers exceptionally robust 40-cm-level positioning performance at an entry-level price point, anywhere on earth without the need for a base station. With corrections derived from the fully redundant TerraStar network infrastructure, the new service is designed for broad accuracy positioning applications such as agriculture, construction or GIS.
    • RTK Assist correction bridging service. This globally available service allows users to maintain RTK-level accuracy when RTK corrections are disrupted. RTK Assist uses multiple geostationary satellites to beam corrections directly to the receiver to bridge outages that can occur with local RTK networks.

    “Developing products that not only deliver high-precision, high-accuracy positioning, but also assure our customers’ position is central to our mission at NovAtel,” said NovAtel’s director of product management, Neil Gerein. “The release of OEM7 firmware version 7.200 reflects our company’s commitment to continually enhance positioning performance, whether by expanding receiver capabilities, or in mitigating unintentional or intentional interference as reflected with the capabilities of our new Interference Toolkit.”

    For more details on all 7.200 firmware capabilities, see this PDF.

  • Establishing orthometric heights using GNSS — Part 11

    Establishing orthometric heights using GNSS — Part 11

    Strategically Occupying Stations to Support NGS’ GPS on Bench Marks Program

    This is the 11th segment in my series on “Establishing Orthometric Height Using GNSS.” Each column has focused on a specific topic and provided procedures and tools for analyzing that topic. The columns are meant to build on each other. When addressing a topic that has been discussed in a previous column, web links are provided so the reader can review the previous columns.

    The last column, December 2016, highlighted NGS plans for the 2022 Vertical Reference Datum and provided approximate height differences that users can expect to see. It also provided a little history behind the differences between the NGVD 29 and NAVD 88, and how each replacement of the United States’ National vertical reference datum is improving the user’s ability to obtain the most accurate orthometric height. The October 2016 column demonstrated how to use the GPS on BMs dataset to identify potential issues in published NAVD 88 and NAD 83 (2011) heights. It focused on analyzing the NGS’ GPS on BM data set that was used to create NGS’ GEOID12B hybrid geoid model. It provided procedures that users could employ when analyzing the differences between the modeled geoid values and the computed geoid values using GNSS/Leveling data (GNSS-derived ellipsoid height minus leveling-derived orthometric height). The October 2016 column provided several examples of large relative differences in residuals between neighboring stations. Each example represented stations that should be investigated based on different reasons, such as a weak NAVD 88 leveling network design in the region, the station’s published height attribute code implies that the station was not rigorously adjusted into the NAVD 88, and station pairs have different adjustment dates indicating a possible adjustment distribution correction issue or movement.

    The following questions still need to be addressed: (1) Is the large difference due to an issue with the NAVD 88 orthometric height or the NAD 83 (2011) ellipsoid height? and (2) Should the station be included in the development of NGS’ hybrid geoid models? This column will provide suggestions on how users can assist NGS in determining the reason for the large difference between the modeled hybrid geoid value and computed GNSS/leveling geoid computed value. This information will be useful to NGS when developing hybrid geoid models and the 2022 Vertical Transformation model.

    At this moment, the user is limited to what they can do to assist in identifying the problem. There are basically two options: (1) perform precise leveling observations between two or more stations and/or (2) perform accurate GNSS observations between two or more stations. Performing geodetic leveling between two stations is the desired option but is very expensive and time consuming; however, performing accurate GNSS observations between the two stations is relatively inexpensive and, if NGS’ OPUS-Projects is used to process the data then it is relatively simple to determine accurate NAD 83 (2011) ellipsoid heights and height differences. Even if the project is not submitted to NGS for inclusion into NAD 83 (2011), OPUS-Projects provides a easy and traceable mechanism for others to analyze the results and make their own decision.

    First, let’s look at what NGS provides the user on their GPS on Bench Mark Program. The October 2016 column discussed the GPS on Bench Mark dataset used to create GEOID12B. It provided basic information about the program and provided links to websites that address the program. This column will provide additional information that will be useful for those individuals that desire to participate in the GPS on Bench Mark program. The website provides information on bench mark reconnaissance and recovery. NGS outlines to the user how to use their data files to perform a desktop reconnaissance. They provide eight steps that they believe will be helpful to the user when supporting the GPS on Bench Mark program. (See box titled “NGS’ Suggested Eight Steps for Users to Follow When Participating in the GPS on Bench Mark Program.”)

    NGS’ Suggested Eight Steps for Users to Follow When Participating in the GPS on Bench Mark Program

    North American Vertical Datum of 1988 (NAVD 88) consists of a leveling network on the North American Continent, ranging from Alaska, through Canada, across the United States, affixed to a single origin point on the continent:

    1. Desktop reconnaissance
    2. Reconnaissance materials
    3. Reconnaissance equipment
    4. Bench Mark Hunting
    5. Photos
    6. Observe and record
    7. Plan for Survey Observation
    8. Add your Planned Observation to the ArcGIS Online Map

    Each step has a short narrative that provides helpful information for users that want to participate in the program. This column will focus on the first step titled Desktop reconnaissance. (See box titled “Excerpt from the National Geodetic Survey on Bench Mark Reconnaissance and Recovery.”)

    Excerpt from the National Geodetic Survey on Bench Mark Reconnaissance and Recovery

    North American Vertical Datum of 1988 (NAVD 88) consists of a leveling network on the North American Continent, ranging from Alaska, through Canada, across the United States, affixed to a single origin point on the continent:

    1. Desktop reconnaissance

    Bench marks of First and Second order leveling are targeted for GPS observations. Identify where you are looking for survey control. Generally surveyors try to tie into the NSRS without traveling too far from their project areas. Once you have determined your area of interest, use mapping applications to find marks that meet your criteria. The two recommended mapping applications are the NGS Data Explorer and DSWorld. The NGS database does not always get updated when geocachers recover marks on their web site, but DSWorld does provide information from their web site by showing a when it has been recovered.

    To help assist surveyors and geocachers we have also created an ArcGIS Map Package , a zip file for non ArcGIS users and an ArcGIS Online (AGOL) Web Map available using the links below. The Web Map Application is available using any browser and the Map Package and zip file is for users interested in performing their own analysis.

    GPS-on-bench-marks-agol-map
    GPS on Bench Marks AGOL Map

    ngs-gps-on-bench-marks-esri-map-package
    NGS GPS on Bench Marks
Esri Map Package (~178 MB)

    NGS GPS on Bench Marks
Shapes/rasters (~88 MB)

    NGS GPS on Bench Marks
Shapes/rasters (~88 MB)

    These datasets provide the bench marks that were used in the creation of Geoid12B as well as the new GPS on bench marks that have been incorporated into NAD 83 (2011) since the creation of Geoid12B. This is useful information for those that want to occupy different bench marks than those previously observed with GNSS, and it is especially useful for identifying areas of the country that do not have enough bench marks occupied by GNSS. However, as I mentioned in my October 2016 column, the GPS on Bench Mark dataset can also be useful for identifying issues with NAVD 88 orthometric heights and NAD 83 (2011) ellipsoid heights. In the October 2016 column, I recommended that users perform an analysis of the differences between the published Geoid12B values and computed values from the NGS datasheet. (See box titled “Excerpt from October 2016 column – Analyzing Stations in the GPSBM Table.”)

    Excerpt from October 2016 column – Analyzing Stations in the GPSBM Table.

    So, what should the user do with the GPSBM table? I recommend that users perform the following steps when analyzing the stations in the GPSBM table.

    1. Compare the modeled GEOID12B (N12B) value to the computed GPS/Leveling (h minus H) value using the following formula: Published N12B from the NGS data sheet minus (ellipsoid height from the GPSBM table minus orthometric height from the GPSBM table). We discussed this procedure a year ago in column 3 (October 2015). It should be noted that the orthometric height in the GPSBM table may be different than the published NAVD 88 height on the NGS data sheet if the station has been readjusted since the GPSBM table was created.
    2. Repeat the procedure in Step 1 using the latest NGS experimental geoid model, e.g. xGeoid16b. At this time, NGS only provides the experimental geoid models referenced to IGS08 so the user will have to use NGS’ xGeoid16 web tool to obtain the station’s IGS08 ellipsoid height and xGeoid16b value. The input to the tool is the station’s NAD 83 (2011) coordinates (latitude, Longitude, and ellipsoid height). [An example of using the xGeoid16 web tool is provided in the box titled “Example of Using NGS xGeoid16 Web Tool.”] As discussed in column 3 (October 2015), the user will have to remove a bias and trend based on the differences in the region.
    3. Use the station’s data sheet to identify how the station’s orthometric height was determined; for example, was it rigorously adjusted into the NAVD 88 (published height attribute – Adjusted). We discussed the attributes of the NGS data sheet in column 5 (February 2016). A summary of the attributes from the NGS data sheet DSDATA.TXT file is provided in the box titled “Extracted from NGS’ DSDATA.TXT.” I have highlighted the most common attributes of the stations involved in making GEOID12B.
    4. Use the station’s NGS data sheet to determine the adjustment date of the station’s published NAVD 88 orthometric height. We discussed this in column 7 (June 2016). As mentioned in column 7, if the station has a different adjustment date than other stations nearby, there could be inconsistencies due to adjustment distribution corrections and/or movement.

    If you download the Zip file or the Esri Map Package, you should have a layer titled “NGS_Bench_Marks.” This layer contains all the bench marks from the NGS database that have NAVD 88 orthometric heights with the attribute “ADJUSTED.” It should be noted that this is not the complete list of stations used to create the hybrid geoid model GEOID12B. This file only contains bench marks that were established using precise geodetic leveling procedures and incorporated into NAVD 88 using NGS’ leveling adjustment program. The list of attributes and their meaning was provided in my February 2016 column. The ArcGIS NGS_Bench_Marks layer contains a NAVD 88 orthometric height, a Geoid12B value, and an ellipsoid height if the station was occupied in a GNSS project. The ArcGIS user can select all bench marks that have a NAD 83 (2011) ellipsoid height in their state by using an ESRI query builder statement; for example, “STATE” = ‘NC’ AND “DATUM_TAG” = ‘(2011)’ AND “POS_DATUM” = ‘NAD 83’. Now the user can compute the GPS on BMs residual using the following formula: GPS on BMs Residual = Geoid12B value minus [NAD 83 (2011) Ellipsoid Height – NAVD 88 Orthometric Height)]. The user can perform this operation in the ESRI ArcGIS program or download the ArcGIS “NGS_Bench_Marks.dbf” file into Excel (or another spreadsheet program) and compute the computation in that spreadsheet program. The user can then import the file back into ArcGIS or their own GIS software. Once you have the GPS on BMs Residuals you can plot them and look for outliers. This is what I denote as “Strategically Occupying Stations to Support the GPS on Bench Mark Program.” I performed the above operation for the entire “NGS_Bench_Marks” file.

    The file can be downloaded as an Excel document here and as a text document here.

    So, what do I really mean by strategically occupying station to support the GPS on Bench Mark Program. Once you plot the GPS on Bench Marks residuals, the user should use the plots to identify stations that should be re-occupied because of large residuals or new stations that should be occupied in areas void of control. Figure 1 is an example of the GPS on BMs residuals for the State of North Carolina.

    Figure 1 – GPS on Bench Marks Residuals using GEOID12B computed using NGS GPS on Bench Marks Shapes/rasters
    Figure 1 – GPS on Bench Marks Residuals using GEOID12B computed using NGS GPS on Bench Marks Shapes/rasters

    Looking at figure 1, the reader should notice some large red circles (negative GPS on BMs residuals) are located near some large blue circles (positive GPS on BMs residuals). In my opinion, these regions should be analyzed to determine if stations should be re-observed during a GPS on Bench Mark campaign. This doesn’t mean that if other stations are occupied that they will not help improve the hybrid geoid model and the NAVD 88 transformation model to the new 2022 Vertical Reference Datum, it just means that these previously occupied stations are questionable and re-observing these stations may help to explain why the residuals are so large. I’ve provided a couple of examples in North Carolina to explain what I mean.

    Figure 2 depicts a station with a large negative residual (-7.9 cm) surrounded by stations with smaller residuals (mostly positive residuals). This station’s published NAVD 88 height may be an invalid height; that is, the station may have moved after the leveling-derived orthometric height was determined. In my opinion, this station should not be used in the development of a hybrid geoid model or any transformation model from NAVD 88 to another vertical reference datum. It would be useful information to know if the NAVD 88 orthometric height is invalid. In this example, the user could re-observe station Z 183 (PID = FA0997) with a long GNSS session, or simultaneously observe station FA0997 and another nearby station (such as AH5641) during the same long session. The second option allows the user to estimate a new ellipsoid height difference between the two stations that can be compared with the published ellipsoid height difference.

    Figure 2 – Large Negative Residual Surrounded by Smaller Residuals – Station FA0997
    Figure 2 – Large Negative Residual Surrounded by Smaller Residuals – Station FA0997

    The ArcGIS NGS_Bench_Marks layer includes when the station was first recovered (e.g.,1967) and last recovered (e.g., 2009), and the condition of the station (e.g., good condition). The NGS dataset provides the network and local accuracies for published NAD 83 (2011) stations. (See box titled “Excerpt from NGS’ Datasheets for Stations FA0997 and AH5641.”) We discussed NGS’ datasheet and published local and network accuracy values in the August 2015 column.

    ngs-datasheet-excerpt-1

    ngs-datasheet-excerpt-2

    The stations’ local and network accuracy values are highlighted in the box titled “Excerpt from NGS’ Datasheets for Stations FA0997 and AH5641.” Station AH5641 local ellipsoid standard error value (0.51 cm) is much better than station’s FA0997 value (2.47 cm). Next, we should look at the local network accuracies to determine which stations were simultaneously observed during a GNSS survey. Once again, these options on the NGS’ datasheets were discussed in the August 2015 column.

    column-11-ngs-excerpt-3

    column-11-ngs-excerpt-4

    The box titled “Excerpt from NGS’ The Local and Network Accuracy Data Sheet for Stations FA0997 and AH5641” provides the local and network accuracy data sheet for stations FA0997 and AH56412. The readers should notice that Station FA0997 only has one local accuracy to another station and that station is not AH5641. This implies that these two stations were not observed during the same session. The large relative difference in residual could be due to an invalid NAVD 88 orthometric height but it could also be due to an undetected error in the ellipsoid height due to a weak GNSS survey design. Let’s look at another example where there’s more than one outlier in a small group.

    Figure 3 depicts two stations (AI7070 and AI7073) that appear to be inconsistent with their neighboring stations (FB3216 and FB3222). If we look at the datasheets for these stations, it can be determined that stations AI7070 and AI7073 were observed in the same session but neither station was occupied in a session with FB3216 or FB3222. The datasheets do indicate that FB3216 and FB3222 were observed during the same session. In this case, I would recommend simultaneously observing stations FB3222 and AI7073 to determine an accurate ellipsoid height difference to determine if the relative ellipsoid height difference computed from the published ellipsoid heights are really as accurate as their published network and local accuracy values. If these stations do not get re-observed, I would not recommend using stations AI7070 and AI7073 in the hybrid geoid model.

    Figure 3 – Several Large Negative Residual Surrounded by Smaller Positive Residuals – Stations AI7070 and AI7073
    Figure 3 – Several Large Negative Residual Surrounded by Smaller Positive Residuals – Stations AI7070 and AI7073

    I have focused on North Carolina but this analysis can be performed on any state or region. Figure 4 is a plot of GPS on BMs residuals using Geoid 12B for the State of Florida. Looking at figure 4, there appears to be a lot of stations with large GPS on Bench Mark residuals.

    Figure 4 – GPS on BMs residuals using GEOID12B for the State of Florida
    Figure 4 – GPS on BMs residuals using GEOID12B for the State of Florida

    Figure 5 is a plot of the GPS on Bench Mark residuals using GEOID12B in the Lynn Haven, Florida, area. Looking at figure 5, the reader can see that station BE1497 has a large relative difference between its neighbors (BE0604 and AA9918). This station and one of its neighboring station should be re-observed in a GNSS survey. In my opinion, if this station is not re-observed then it should be rejected and not included in the development of the hybrid geoid model.

    Figure 5 – GPS on BMs residuals using GEOID12B for Lynn Haven, Florida, Area
    Figure 5 – GPS on BMs residuals using GEOID12B for Lynn Haven, Florida, Area

    Some States have enough bench marks that have been occupied by GPS that re-observing a station may not improve the hybrid geoid model. It may be sufficient to reject the station so it doesn’t distort the hybrid geoid model. Figure 6 is a plot of the GPS on BMs for the State of Missouri. If you compare figure 1 (plot of GPS on BMs in North Carolina) with figure 6 (plot of GPS on BMS in Missouri), it’s obvious that the State of North Carolina has more bench marks occupied by GPS than Missouri. Most of the residuals in figure 6 seem reasonable but the user should investigate those stations that are greater than +/- 5 cm. An example of a station that should be re-observed is station C 10 (KD0210). Figure 7 is a plot of the GPS on BMs surrounding station C 10 (KD0210). The NGS data sheet for station C 10 states that the station was incorporated into NAD 83 (2011) in May 2015; therefore, it wasn’t used in the creation of GEOID 12B. The data sheet also provides the Network and Local Accuracy values for the station. [See the box titled “Excerpt from NGS’ Datasheets for Station KD0210.”] The network and local ellipsoid height accuracy values (6.49 cm) are larger than most published NAD 83 (2011) stations.

    column-11-ngs-excerpt-5

    column-11-ngs-excerpt-6

    Figure 6 – GPS on BMs residuals using GEOID12B for the State of Missouri
    Figure 6 – GPS on BMs residuals using GEOID12B for the State of Missouri
    Figure 7 – GPS on BMs residuals using GEOID12B Surrounding Station KD0210 (C 12)
    Figure 7 – GPS on BMs residuals using GEOID12B Surrounding Station KD0210 (C 12)

    This is an area that is void of GPS on bench mark control so this station is extremely important. However, this station has a large GPS on BM residual and a large local accuracy value which makes the station’s published orthometric height and ellipsoid height questionable. I would recommend that this bench mark and several nearby bench marks be observed in a GNSS survey to provide additional estimates of the relationship between the NAVD 88 orthometric heights and NAD 83 (2011) ellipsoid heights in this area. Saying that, it is very important that users perform procedures that result in an accurate GNSS-derived ellipsoid height. This means that users may have to observe stations for several hours and repeat observations on different days and at different times of the day. Of course, I realize that this may be too expensive for most surveyors but the end result may not be sufficient to determine why the station has a large GPS on BM residual.

    I stated in my October 2016 column that step 2 was to use the latest experimental geoid model in the analysis. (See box titled “Excerpt from October 2016 column – Analyzing Stations in the GPSBM Table.”) I have focused this column on using data that can easily be obtained from the NGS’ website. Saying that, in my next example I have computed the GPS on Bench Marks residuals using a detrended xGeoid16b that is consistent with NAD 83 (2011) [i.e., a bias and trend has been removed from the differences]. This information is not currently available from NGS’ website but I want to show the differences between the hybrid model residuals and the experimental geoid model, xGeoid16b.

    It’s very difficult, if not impossible, to identify how much the hybrid geoid model has been distorted to fit a GPS/Leveling station by looking at published data from NGS data sheets. Figures 8 and 9 demonstrate how some large GPS on Bench Marks residuals using GEOID12B may be distorting the hybrid geoid model. Figure 8 is a plot of the GPS on BM residuals using GEOID 12B in an area in Rockbridge County, Virginia, and Figure 9 is a plot of the same stations using a detrended scientific geoid model xGeoid16b that is consistent with NAD 83 (2011). Looking at figure 8, stations GW2113 and GW0934 appear to be large outliers, -8.8 cm and 11.8 cm, respectively. Station GW0934 was rejected by the geoid team. However, looking at figure 9, using a detrended xGeoid 16b model, the GPS on BM residual of station GW2113 is -19.3 cm and the residual of station GW0934 is only 3.4 cm. What is very important to notice on figure 8 is that nearby stations GW1042 and GW0822 residuals are only -3.3 cm and -2.0 cm, respectively; but, on figure 9, using the detrended xGeoid16b model, the residuals of stations GW1042 and GW0822 are -12.2 cm and -11.5 cm, respectively. Some of these stations need to be re-observed to determine if the NAVD 88 orthometric heights are no longer valid or if there are undetected errors in the published ellipsoid heights. This is why the experimental geoid model should also be used when analyzing GPS on Bench Mark residuals; and why some GPS on BM stations that are inconsistent with their neighboring stations should not be included in the development of a hybrid geoid model. This means that analyzing GPS on Bench Marks residuals using just the hybrid geoid model will only identify outliers that are significantly different from their neighbors. Some outliers will be missed but the procedure does help to prioritize those stations that should be re-observed to help support NGS’ GPS on Bench Mark Program.

    Figure 8 – GPS on BMs residuals using GEOID12B for a Large Outlier in Rockbridge County, Virginia (PID =GW2113)
    Figure 8 – GPS on BMs residuals using GEOID12B for a Large Outlier in Rockbridge County, Virginia (PID =GW2113)

    Figure 9 – GPS on BMs Residuals Using a Detrended GEOID16b [consistent with NAD 83 (2011), bias and trend removed] for a Large Outlier in Rockbridge County, Virginia (PID =GW2113)
    Figure 9 – GPS on BMs Residuals Using a Detrended GEOID16b [consistent with NAD 83 (2011), bias and trend removed] for a Large Outlier in Rockbridge County, Virginia (PID =GW2113)
    It should be noted that many of these large GPS on BM residuals could be due to an invalid NAVD 88 published height because the bench mark moved since the last time the height of the bench mark was adjusted and published, and/or an undetected error in an ellipsoid height due to a weak GNSS project design. Either way, in my opinion, most of these stations with large GPS on BMs residuals don’t accurately represent the current NAVD 88. When performing a geodetic survey, these stations would be identified as bench marks with invalid heights when following the appropriate Federal geodetic survey guidelines, procedures, and specifications. These bench marks should not be used in the hybrid geoid model just like they would not be used in controlling geodetic surveys. I want to emphasize that I’m not criticizing NGS process for creating their hybrid geoid model. NGS’ goal is to create a hybrid geoid model that is consistent with published NAVD 88 values. I believe NGS is using all the data and information available to them. I am trying to emphasize to users the importance to strategically occupy stations to help support the GPS on Bench Marks Program and create a hybrid geoid model that accurately represents the current NAVD 88.

    This column focused on addressing the following questions: (1) Is the large GPS on BM residual due to an issue with the NAVD 88 orthometric height or the NAD 83 (2011) ellipsoid height? and (2) Should stations with large GMS on BM residuals be included in the development of NGS’ hybrid geoid models? The column provided suggestions on how users can assist NGS in determining the reason for the large difference between the modeled hybrid geoid value and computed GNSS/leveling geoid computed value. This information will be useful to NGS when developing hybrid geoid models and the 2022 Vertical Transformation model.

  • SBG Systems improves Ellipse inertial sensors

    SBG Systems improves Ellipse inertial sensors

    SBG Systems has released a new version of the Ellipse Series, its product line of miniature inertial sensors. The Ellipse has been greatly improved, showing higher performance in attitude measurement while adding the Galileo constellation to its GNSS receiver.

    ELLIPSE-N_Inertial_Navigation_System_GNSS-W
    Photo: SBG Systems

    After thousands of Ellipse miniature inertial sensors operational on the field, SBG Systems has made major improvements to its Ellipse line of miniature inertial sensors while keeping the same form factor and price level.

    Attitude Accuracy Improved by a Factor of Two. With low-noise gyroscopes and new high performance accelerometers providing superior noise level, the accuracy of every Ellipse model has now improved from 0.2° to 0.1° in roll and pitch. In addition, the new accelerometers tolerate very high vibration environments (up to 8 g).

    The Ellipse-N model is an all-in-one inertial sensor that embeds a L1 GNSS receiver. Ellipse-N is already compatible with GPS, GLONASS and BeiDou constellations. With the addition of Galileo tracking, Ellipse-N benefits from more satellites, improving the signal robustness in harsh environments.

    Ellipse embeds high-quality sensors with a greatly improved long-term stability. Sensors are totally integrated in an IP68 enclosure, resistant to dust and water.

    Every Ellipse sensor is tested and calibrated in temperature and dynamics, to ensure constant behavior in every condition. Highly robust, Ellipse are guaranteed for two years. This warranty can be now extended up to five years.

    Entry-level Solution for Surveying. The Ellipse Series is extremely powerful for its size. It is an affordable all-in-one solution providing accurate attitude and position for surveying applications, whether they are terrestrial, aerial, or marine.

    With its fully backward compatibility design, the new Ellipse series can be used as a drop-in replacement of the previous Ellipse. No specific action is required in terms of mechanical, electrical or software integration. The new Ellipse sensors are available for ordering now.

  • TerraGo partners with CompassTools on advanced GIS and GPS data collection

    TerraGo is partnering with CompassTools, a provider of integrated GIS, GPS and wireless solutions for field data collection across numerous industries, including government, utility, natural resources, transportation, architecture and construction.

    “We help our customers build the best bundled solution for their GIS and GPS goals, whatever they may be, and TerraGo’s mobile solutions give us the flexibility we need for the wide spectrum of accuracy, workflow and data collection requirements,” said Andrew Carey, manager of Geospatial Solutions at CompassTools. “TerraGo provides out-of-the-box integration for all the leading platforms, while enabling customizable precision, basemaps, forms and workflows, which fits well with our customer-focused approach.”

    “CompassTools helps organizations identify and implement the best combination of GPS receivers, hardware and software to meet their unique requirements,” said John Timar, vice president, Worldwide Sales, TerraGo. “TerraGo Edge and TerraGo Magic were designed from the ground up to support that type of customization; which makes it easy for customers to get the benefit of CompassTools’ expertise to help them deploy a solution tailored to their mission.”

    TerraGo is hosting a webinar on Tuesday, Feb. 14, at 12 p.m. ET with a live demonstration of mobile GIS and GPS solutions available from TerraGo and CompassTools.

  • Robotic riverbed survey reveals unseen depths

    The Ribble River flowing through Preston in Lancashire, United Kingdom, has hidden depths.

    “The challenge with rivers is that much of the beauty and interest is hidden from view beneath the surface,” said Jack Spees, CEO of the Ribble Rivers Trust. “To reveal this beauty, we undertook a bathymetric survey of a section with particularly interesting features that is adjacent to a heavily used public footpath.”

    The trust is using survey results to reveal these hidden depths on interpretation boards, including digitally augmented reality and video media enabling visitors to explore the underwater world.

    For the survey, a robotically controlled 1.2-meter twin-hull shallow draft vessel powered by a twin-jet system surveyed a hectare of the riverbed. It carried depth-recording sonar and a tracking prism that enabled a Spectra Precision Focus 35 total station to lock onto and robotically follow and record the vesssel’s location.

    Echo soundings were transmitted to a tablet PC ashore via long-range Bluetooth and time stamped, while the boat’s position was continuously recorded by the total station and sent back to a tablet PC, also using long-range Bluetooth and time stamped.

    The tablet PC ran 4Site, a program that formatted and processed the data from the sonar and the total station into a DWG drawing. Each point was positioned in real time, so the vessel operator could ensure complete coverage. A mesh of a 200-meter section of the river with depths to 3.5 meters was combined with aerial lidar data to produce the survey.

  • Case study: Firms collaborate on product development

    Professional GNSS users now expect lightweight, easy-to-use receivers optimized for their particular workflows. Meanwhile, a streamlined manufacturing process means design and production of sophisticated instruments now takes months rather than years, and relies on global teams of networked specialists.

    Carlson Software approached Hemisphere GNSS in early 2015 with the goal of bringing a new GNSS receiver to market, one optimized for land surveyors with high precision, convenience, and small form factor. “We work closely with land surveyors, and we definitely saw a need,” said Carlson’s director of special projects Karl Nicholas. “Our clients were asking for smaller, lighter receivers. We also felt that a new receiver could be better optimized to work with the multiple satellite constellations now available, and with the array of RTK solutions that surveyors use routinely.”

    Hemisphere recognized that a new lightweight receiver would also serve its own marine clients well, especially if it was optimized to work with the company’s Atlas GNSS Global Correction Service as both rover and base station.

    The S321 smart antenna by Hemisphere GNSS.
    The S321 by Hemisphere GNSS. Photo: Hemisphere

    Carlson focuses on computer-assisted design (CAD) software, field data collection, and machine control products for land surveying, civil engineering, construction, and mining. Through the partnership, Hemisphere gained access to a deep knowledge base of how surveyors work with GNSS in real-world conditions, and how to optimize a new receiver for fieldwork of all kinds.

    This aided decisions about interface, form factor, and features. Project dialog between the two companies identified specifications for particular functions and features, as prototypes became available for testing and feedback.

    Specifications included:

    Compact and Durable. A form factor for a smaller receiver had already been developed. “Our hardware design and manufacturing division in China presented a hardware design that we really liked, so we didn’t have to redesign from scratch in that area,” explained Hemisphere senior product manager Lyle Geck. “We were able to move ahead with only minor modifications.”

    Carlson tested rigorously before signing off on the hardware design. “I put mine on top of a two-meter pole and dropped it onto concrete and dirt, and I also tried it out in wet weather — worked fine!” recalled Nicholas.

    Multiple Constellations. “We now have a receiver that works seamlessly right now with GPS, GLONASS, and the Chinese BeiDou system,” added Nicholas. “And when Europe’s Galileo system becomes available, we’ll be ready for it too.”

    RTK, Correction Sources. Hemisphere’s Athena RTK engine, is designed to process the new signals with high-accuracy performance. In addition to traditional RTK correction methods using NTRIP and UHF/900 MHz radios, Hemisphere also provides Atlas, its own L-band correction service: subscription-based, flexible, available over the Earth’s landmass, from approximately 200 reference stations, providing up to sub-decimeter accuracies via L-band satellites or over the Internet.

    The new receiver was also designed with a built-in UHF radio, and multiple wireless communication ports to enable corrections via radio, cellular modem, Wi-Fi, Bluetooth, or serial connections.

    Base Station Capacity.
    The receiver can serve as both rover and base station. “For our marine clients, this receiver is actually more likely to be used as a base station,” said Geck, typically set up in a port for construction or other maritime operations. Not a closed system, it works with Atlas, other protocols like TrimTalk, and with external radios that can be connected as needed.

    Productivity.
    For surveyors, Carlson specified a compass and a tilt sensor so the receiver knows if the pole is vertical, how it’s oriented horizontally, and how to correct for those factors. It works for stakeouts and recovering points; the unit directs the user to the next point graphically, saving time.

    For surveyors in obstructed areas, position reliability will often degrade. “Surveyors are aware of this, but it’s hard to compensate when they don’t have information about just what’s happening with accuracy.” SureFix uses proprietary algorithms and various inputs to give a quality indicator for particular points, for confidence when shooting in difficult multipath conditions, or telling a surveyor to slow down to get the required precision. This improves fieldwork and can eliminate trips back to the field to correct errors.

    Carlson Software leveraged its 30+ years in land surveying, while Hemisphere GNSS added manufacturing experience and GNSS and RTK expertise. The result is a compact receiver, BRx6 from the former and S321 from the latter, tuned for the requirements and workflows of customers’ daily projects.

  • Colossal North Atlantic wave recorded

    The World Meteorological Organization (WMO) announced the highest wave on record: a behemoth that towered 19 meters (62.3 feet, or about five building storeys) above the North Atlantic. Examination of data sent by an automated buoy showed the monster wave rose on Feb. 4, 2013, at a remote spot between Britain and Iceland.

    The mighty wave occurred after a strong cold front came through the area, producing winds up of 43.8 knots (81 kilometers, 50.4 miles per hour). The previous record height for a wave was 60 feet in December 2007, also in the North Atlantic.

    Automated buoys are vital tools for oceanographers, sending back data on sea currents, temperatures and swells for seafarers, climate researchers and others. Many buoys are GPS-equipped to measure water height. We suspect this one was, though it has not been confirmed. GPS World carried a story about NavCom GPS-equipped ocean buoys in May 2006.

    The North Atlantic, from the Grand Banks underwater plateau off Canada to south of Iceland and west of Britain, is the world’s biggest breeding ground for giant waves.

    Details of the new record and definition of significant wave height are available here.

  • Geolocation and the surveyor: Looking back to the future

    The surveyor has been known throughout history for many things: part expert measurer, part historian, part lawyer and part geographer. These attributes have led the surveyor to become a trusted member of the mapping community, on both the public, and private sides.

    Through the use of technology and associated mapping knowledge, the surveyor has provided the base layer for almost all physical ties of modern-day mapping commonly known as geolocation.

    The term has become a common word in today’s lexicon and is defined as follows:

    The physical location of an object in the world, which may be described by degrees of longitude and latitude or by a more identifiable place such as city or residence.

    Modern GPS receivers have allowed the surveyor to establish positions of important land and governmental monuments throughout the world. However, as technology has moved forward and introduced faster and cheaper ways to utilize GPS measurements with many electronic devices, applications for its use has expanded greatly as well.

    Recent uses of technology and the lower cost of entry into the geolocation world, however, is forcing governmental agencies to review uses of this data and potentially restrict its use due to privacy concerns. Let’s first review how we got here:

    Maps: Windows on the world

    Mapping has been part of civilization since the beginning of time. Early man marked out his discoveries and territorial limits on cave walls and flat rock surfaces. The invention of papyrus in the mid-2500 B.C. by the early Egyptians revolutionized how mapping data was created and retained. Keeping track of what lands had explored and being able to pass along this information provided the early incentive for map makers but crude depictions soon gave way to scientists and historians developing methods to accurately create the world around them.

    Introduction of cartography

    The art and science of mapmaking started as early as the Babylonian era, producing the first versions depicting a flat earth. The biggest revolutionary strides were by Greek philosophers Aristotle and Ptolemy several centuries later with the introduction to depicting the Earth as round and not flat per previous beliefs. With larger expeditions headed off into oceans and on to foreign lands to seek out new worlds, cartography became more important not in just recording history but accurately depicting the world around us for future exploration.

    By the 15th century, hand-drawn maps were being slowly replaced by printing procedures using wooden blocks to ease duplication. It was also during this time that new versions of the Earth were being created to present it as truly spherical and depict the “New World” findings of Columbus and fellow explorers.

    The next big enhancement to world mapping occurred in the mid-16th century when a cartographer named Gerardus Mercator of Belgium determined that our spherical Earth could be mapped by using a cylindrical projection to establish accurate latitude and longitude lines on a flat map. His projection method is still used today and is the basis of many more enhancements to world measurement systems made well into the 17th, 18th and 19th centuries in conjunction with extensive exploration and thorough record keeping.

    Modern mapping and the geographical information system

    The 20th century introduced the scientific world to several major inventions, with the electronic computer among the biggest ones. During the 1960s, Canada was leading the way with the development of a layer-based geographical information system (GIS), with the U.S. Census Bureau following closely behind.

    This race to establish GIS dominance led to significant enhancements in mapmaking capability; more specifically, the ability to collect and display large amounts of data in a graphical form. By combining existing tax mapping with aerial photography, utility information and a state-plane coordinate system, local GIS databases began to appear but at a significant cost and effort to both the government agency and parties that wanted to use the information.

    Harvard Laboratory Computer Graphics is credited with the creation of vector-based computer graphic in the mid-1970s that allowed the visualization of GIS data through electronic means. The late 1970s/early 1980s also introduced the personal and small computer systems and allowed many more opportunities to begin working with GIS databases.

    Esri opens for business

    We were also introduced to a little company that started in 1969 in California as a land-use consulting firm, which would end up dominating the GIS software world: Esri. Jack and Laura Dangermond founded the company to better organize geographic and development data for future planning. Little did they know that Esri would eventually become the GIS juggernaut it is today.

    By the late 1990s, computer companies with large resources began to see the possibilities of large-scale databases of geographical information along with high-resolution aerial and satellite photography. Microsoft was the first one to offer an online service when it combined current and historical U.S. Geological Survey orthorectified photography to create Terraserver, with more than 2 terabytes of georeferenced data, in 1997.

    This was closely followed a small group named Keyhole, which utilized the original Terraserver data as its framework. As this company expanded and the service grew, an upstart search engine firm called Google bought the company and turned the entire site into the early version of Google Earth. The rest is history.

    Surveyor’s role in geolcoation

    The late 1990s also brought significant enhancements to real-time kinematic (RTK) equipment for the surveyor and the ability to easily produce data within a variety of coordinate systems for use in GIS. (See my earlier column for additional information.) It is also through the survey world that an incredible network of existing static monuments and continuous operating reference stations (CORS) exist to allow the high-accuracy measurement of the precise location of any type of dataset.

    Many of these monuments were installed in historical or remote places that were deemed “safe” from being destroyed by future improvements or developments. It is this marriage of high-accuracy equipment and extensive network of survey monuments — along with the education, training and working knowledge of measurement and coordinate systems — that geolocation of existing features has become a surveyor’s specialty.

    Access to this information and monuments is paramount to our profession as we would be limited greatly by eliminating the ability to utilize and reference them.

    Not all who wander are lost

    Because of the technology and miniaturization of GPS-capable devices, location capable electronics has become a multi-billion-dollar industry. It is almost impossible to not have a device with you at all times that will know where you are and how to get where you want to go.

    Everything from cars to phones and computers to fitness trackers and watches has a GPS receiver to assist and track your every move. But it’s not just the GPS receivers that have revolutionized our world today; a big part of the geolocation system explosion was created due to the computer and innovative programming paired with it. We all know the application names: Facebook, Twitter, Instagram, Foursquare, Google Maps and so on.

    These applications work so well because they know where we are based upon geolocation. Where’s the nearest McDonald’s or Starbuck’s? Any number of apps will show you and help you find the quickest route to get there.

    Geolocation has also enhanced how people drive with apps like Waze and Google Maps using phone and car location data along traffic routes to gauge traffic speed, flow and congestion. Technology has improved almost everyone’s ability to travel, find places more efficiently and help bring people together at any location. Theoretically, possessing a GPS-enable device should eliminate ever being truly lost.

    Was George Orwell right? Is Skynet next?

    Technology, along with bringing good uses for applications and devices into our everyday lives, also brings possible issues as well.

    Privacy advocacy groups are not a new concept, but the exploding use of electronic devices with GPS and geolocation capability has brought new life to their arguments regarding intrusion into our private lives. People sharing every detail of their lives opens up opportunities for identity theft and robbery by allowing critical data to be shared with the internet and all who use it. But the geolocation issue became a big privacy target with the phenomenal success of a smartphone app in the summer of 2016.

    The humble beginnings of Pokémon started in Japan in the late 1980s with an arcade game created for the Nintendo Game Boy handheld console. The object of the game was to collect pocket monsters or Pokémon in various areas played within the game console. It became the second best-selling character-based game system ever, with more than 280 million copies sold on various platforms. Over the years, the game turned into a worldwide sensation featuring comic books, trading cards and even a popular television cartoon. It was this base knowledge of the characters and the concept of the game that led to the exploding sensation of Pokémon GO during the summer months of 2016.

    pokemongo
    Photo: Pokemon Go

    This was the first mainstream app that blended a popular game with geolocation capability and a real-world environment, all tied together in an exercise to “catch ’em all.” The latest smartphones with high-speed streaming data provided the perfect game console for this new achievement for gaming with geolocation being a critical yet key component. Part of the lure of the game was catching many of the Pokémon in public parks and recreational areas, as they were placed there by game designers to allow easy access for players to find and collect.

    Many of these public places were also historical, so local officials along with private citizens began complaining of large masses of players descending upon these sites and not being respectful of their surroundings. Stories of littering, vandalism, loitering and harassment were published nationwide, yet the game continued to draw players in by the thousands. While its popularity has waned toward the end of 2016, the concept of geolocation-based games left an indelible mark on the public and lawmakers who represent them as something they don’t want to see repeated.

    Enter big bad government

    Here in Illinois, lawmakers introduced proposed legislation in November 2016 to curb the use of various public and private locations from within geolocation-based video games on smartphones and handheld devices. Listed below are excerpts from the proposed bill language:

    Section 1. Short title. This Act may be cited as the Geolocation Information Protection Act.

    Section 3. Purpose. The purpose of this Act is to preserve the personal privacy of Illinois citizens when it comes to their highly sensitive geolocation information and to allow Illinois citizens to maintain control over the collection and disclosure of that information by private entities. This Act is also intended to provide real property owners, managers, and custodians with an easily accessible procedure for removal of ecologically sensitive sites or locations, historically significant sites or locations, sites or locations on private property, or sites or locations otherwise deemed as dangerous by the real property owner, manager, or custodian from location-based video games.

    “Ecologically sensitive site or location” means an area designated by federal, State, or local government for protection from development or damage due to the presence of endangered species or threatened species as defined in Section 2 of the Illinois Endangered Species Protection Act

    “Geolocation information” means information concerning the location of a device that is generated by or derived from, in whole or in part, the operation of that device and that could be used to determine or infer information regarding the location of a person. (Bold added for emphasis by author.)

    “Historically significant site or location” means a site or location that has been designated by federal, State, or local government for preservation as a landmark, or any other site or location that the federal, State, or local government may designate as historically significant.

    “Location-based application” means a software application that collects, uses, or stores geolocation information. (Bold added for emphasis by author.)

    Section 20. Collection, use, and disclosure of geolocation information from location-based applications.
    (a) A private entity may not collect, use, or disclose geolocation information from a location-based application on a person’s device unless the private entity first:
    (1) informs the person in writing that his or her geolocation information will be collected, used, and disclosed;
    (2) informs the person in writing of the specific purpose for which his or her geolocation information will be collected, used, and disclosed; and
    (3) receives the person’s informed, written consent (including through an electronic means using the Internet) in a form distinct and separate from any form setting forth other legal or financial obligations of the person before collecting, using, or disclosing his or her geolocation information.

    (For full details: http://ilga.gov/legislation/99/SB/PDF/09900SB2901ham003.pdf)

    illinois-surveyors
    Logo: Illinois Surveyors

    A voice for the surveyor was spoken loud and clear when the Illinois Professional Land Surveyors Association (IPLSA) contacted the bill’s sponsor regarding the content. We expressed our deep concerns with the limits this legislation would place on our profession, on our efforts to serve the public and eliminate the use of thousands of historical monuments throughout the state. The various state and national surveying associations and societies will continue to press our legislators for reasonable legislation that allows the public protection they request, yet will allow the professional surveyor to complete their jobs and serve that same public.

    The bottom line is that privacy issues will continue to be a concern for most while technology progresses forward. Our environment is on the cusp of autonomous automobiles, virtual assistants and robotic equipment completely replacing our workforce.

    Yes, we have gained many new exciting technological advancements with computers and programming, but also have given up a lot of information in the meantime to make it work for us. It is virtually impossible to have one without the other, so we will need to make a choice.

    I hope we choose to continue progressing forward, yet realize we still need to have a memory of the past. A surveyor’s craft is heavily woven around the past, so let’s work together to make sure the critical stitching stays in place.

  • Hemisphere GNSS names new president and CEO

    Farlin Halsey has been named president and chief executive officer of Hemisphere GNSS, effective Jan. 2, 2017. He replaces Xinping Guo, interim president and CEO. Halsey has also been appointed to the Hemisphere board of directors, where Guo will continue to be a member.

    With more than 25 years of executive leadership experience in the high-technology electronics industry, Halsey brings a wealth of knowledge and expertise to Hemisphere, according to a company statement. Serving in a range of executive officer and senior management capacities, he has extensive proven experience in GNSS OEM sales market segments including construction, agriculture, survey and mapping, GIS, automotive, personal (mobile) navigation, handheld devices, application software, and electronic components and modules.

    Before joining Hemisphere, Halsey’s executive leadership positions included president and CEO of RF Monolithics,  a designer and manufacturer of wireless connectivity products used in integrated circuits, certified modules and machine-to-machine applications. He facilitated the sale of the company to Murata Manufacturing Co. Ltd., where he most recently served as vice president of strategic marketing for Murata Electronics Americas.

    Previously, Halsey held executive positions at NovAtel, Inc., including vice president of corporate strategy and alliances and vice president of marketing — roles in which he was instrumental in the acquisition and integration of several companies, as well as developing the company’s successful OEM business strategy. He later played a key role in positioning the company prior to its successful sale to Hexagon AB. Among other roles preceding his executive leadership at NovAtel, Halsey held several marketing and sales management positions at Topcon Positioning Systems, Inc. for the North American market.

    “Throughout his career, Farlin has repeatedly demonstrated the ability to develop key corporate strategies to increase a company’s scale and enable it to grow globally,” said Werner Gartner, chairman of Hemisphere’s board of directors. “His understanding of our business, significant international experience, and deep OEM and GNSS industry expertise make him ideally suited to lead Hemisphere as we look to enter the next phase of our growth and development.”

    “Hemisphere has long been recognized for its pioneering and trend setting high-precision GNSS technology, and I look forward to leading the company’s talented team as we make the strategic decisions necessary to expand our market share and OEM presence globally,” Halsey said. “Leveraging our rich GNSS experience and strong, core GNSS technologies, along with UniStrong’s manufacturing resources, means that Hemisphere is poised for significant global growth.”

    Gartner added, “In conjunction with Farlin joining our company, we thank Xinping Guo for his leadership and guidance as Hemisphere’s interim president and CEO for the past eight months while we conducted an extensive executive search.”

    As chairman and general manager of Beijing UniStrong Science & Technology Co. Ltd., which owns 100 percent of Hemisphere GNSS Inc., Guo will continue to be a member of the Hemisphereboard of directors.