Category: Survey

  • GNSS coordinates as survey evidence — friend or foe?

    GNSS coordinates as survey evidence — friend or foe?

    In my last column in July, I shared the situation with U.S. federal lands in Alaska being surveyed with GNSS and subdivided by coordinates, instead of subdivided by traditional methods of setting monuments.

    The topic drew a varied range of responses and opinions. While some felt the article was on point with setting bad precedents, others added that it was time for technology to take over and not put so much priority on physical monuments.

    I do believe there is room for everyone at the table and would like to use this article as a follow up to more conversation. Let’s start with a comparison of monuments versus theoretical/published positions for parcel corners and land ownership.

    On the technical side

    Space – the final frontier. Everything these days has a spatial address and/or relationship. Thanks to the U.S. Department of Defense (and taxpayer’s money), the global positioning system was created. While originally designed for military use, the civilian application has opened up a new world of spatial technology.

    From Google Earth and municipal GIS to vehicular navigation and Pokemon Go, spatial data has expanded and tracked almost everything in our lives. Where’s the package from Amazon Prime? Let me check the app on my phone and it will show me where my wife’s shipment of make-up is via RFID chips on the box. Where are my buddies tonight? The “Find Friends” app tells me in seconds. All things spatial and right at your fingertips.

    So that brings us to surveying and how technology has influenced its historical methods. Coordinates aren’t new; the introduction to State Plane Coordinate Systems was developed and publicized by the U.S. Coastal & Geodetic Survey almost 100 years ago.

    First-order horizontal monument, U.S. Coast and Geodetic Survey, 1931.
    First-order horizontal monument, U.S. Coast and Geodetic Survey, 1931.

    This allowed for the creation of large networks to begin the framework of today’s GIS but not without its flaws. Instruments used for these measurements were very accurate but human error always played into the final computation. Positions established by observing Polaris and/or sun shots were somewhat accurate but often were too complicated for everyday surveying projects. For decades, the only projects in which state plane coordinates were utilized took place during larger state and federally funded surveys. Because of these limitations, use of state plane coordinates and networks didn’t have many followers.

    Forward a few decades and the invent of the electronic distance meter (EDM). Now there was technology available (albeit expensive) to measure large distances but it brought its own issues. Up to this point, surveyors didn’t need to worry about the earth’s curvature and atmospheric corrections but the EDM changed that.

    With the Eisenhower interstate highway system, more federally funded surveys were performed and surveyors were embracing state plane coordinates more than ever. Primitive GIS systems were starting to form but state and federal cartographers were the stewards of this data. Another big step was needed and the late 1970s/early 1980s didn’t disappoint.

    As mentioned earlier, the Department of Defense began implementation of the GPS network by sending a new breed of timing satellites into orbit beginning in the late 1970s. When decisions were made to allow civilians to receive GPS signals for positional use, a new era opened up for surveying. But just like route surveys, EDM’s and control networks, only large projects could sustain the funds necessary to utilize early GPS receivers. Over time, GPS equipment, like computers and software, became more advanced, user friendly and cost effective. Cost of entry to GPS technology became more affordable to most surveyors and expanded the capability of the profession to embrace state plane coordinates. For the surveyor community, the thought of an entire profession working within one large coordinate system was almost nirvana. It could help solve many of our ambiguity issues in comparing similar survey data. With today’s options of GPS networks, this dream is much closer to reality.

    In one of my previous articles, I shared my belief that the GNSS RTK network has been the single greatest improvement to the profession of surveying. The hard work put in by the National Geodetic Survey team in establishing and maintaining the National Spatial Reference System (NSRS) provides a thorough network that is confidently used nationwide and beyond. Additional Continuous Positional Reference Stations (CORS) are being installed nationwide and providing more surveyors with the network capability to perpetuate state plane coordinate systems literally anywhere. I, for one, like the idea of being able to share data with some certainty that most of my fellow surveyors are on the same datum.

    While the autonomous car may be several years out, the surveying community now has the tools to put all surveys and property corners on the same coordinate datum. Or do we?

    Every man’s house is his castle

    As a surveyor, the measurement of land has been the primary focus of my career and the biggest part of it has been the search and recovery of monuments. Other than family, a person’s home and/or real estate is their most prized and valued possession. Knowing where the limits of their ownership is very important; this is where the surveyor comes in and provides that knowledge. Establishing boundary limits with monuments is a critical role the surveyor performs; how do they get there?

    Monuments mean different things to everybody. Ask the person on the street what they define as a monument and they will most likely name the Washington Monument, Mt. Rushmore or another historical statue or building. History has a way with things and places being “monumental”. Here is Webster’s definition:

    Full definition of monument

    1. (obsolete): a burial vault: see sepulchre
    2. : a written legal document or record: see treatise
    3. a (1): a lasting evidence, reminder, or example of someone or something notable or great (2): a distinguished person
      b: a memorial stone or a building erected in remembrance of a person or event
    4. (archaic): an identifying mark: evidence; also: portent, sign
    5. (obsolete): a carved statue: see effigy
    6. a boundary or position marker (as a stone)
    7. see: national monument
    8. a written tribute

    Depending on what part of the world you are in, monuments of different sizes, shapes and materials are used for marking boundaries. Surveyors working westward after 1800 were setting hedge posts, large stones with pointed tops and stone mounds. It wasn’t until the Industrial Revolution with mass production of steel mills were iron bars and pipes used for setting section and property corners. The invention of the metal detector further increased the use of ferrous materials for corners and monuments by increasing the ability to recover the points at a later date. Over time, additional materials were introduced; brass tablets, steel reinforced rods, and stainless steel masonry nails being the most common.

     Typical property corner: 5/8-inch steel rod with ID cap (Illinois).

    Typical property corner: 5/8-inch steel rod with ID cap (Illinois).

    No matter what the material, points are set at appropriate locations to physically mark the intended corner. It is also the duty of the surveyor to inform the property owner of the results of the survey in order for parties being affected by the placed points to know where their boundaries are located.

    Trouble in paradise

    Surveyors have been measuring for centuries using a plethora of instruments and methods; how could introducing GNSS coordinates to everyday projects create issues? It once again comes down to training, understanding of the equipment and technology and how to relate vintage survey data to newfangled data collection and measurement. Here are a few of the potential problem areas:

    1. Working in Ground or Grid Coordinates? What geoid model are you working with? You mean there’s a difference? It’s amazing to me the amount of surveyors that don’t know that there truly is a difference. If you are using GNSS/GPS and don’t know the difference, put the receiver down now and pull out your total station. Same goes for the geoid model; if you don’t know the difference between orthometric heights and ellipsoid heights, look it up and learn ASAP. Your data will thank you.
    2. Relating survey data based upon conventional plane geometry versus GNSS data based upon spherical geometry. Depending on the age of the survey data, it could have been collected by several different method, (chaining, EDM, triangulation,etc.) and will vary from GNSS data collection. Just because your data collector coordinates reads to ten decimal places doesn’t make it more accurate that old measurements. Get to know what is acceptable variations in measurements from old work and when real trouble is lurking, not just the occasional tenth or two.
    3. Varying correction signals from RTN network providers. While any network being used for GNSS RTK data collection worth its salt is being monitored for anomolies, things happen and signals can get compromised. Check your data, then check it again. Just because the data collector says the horizontal and vertical precisions are within tolerances, they can and will lie. Check periodically to make sure everything is in good working order. Watch your satellite counts and constellations as well for good geometry. Just like any other measuring technique, proper procedures must be followed.

    These are just the highlights of potential issues and not intended to be a comprehensive list.

    Can’t we all just get along?

    On one side of the fence is Old Joe Surveyor with his trusty metal detector, shovel, total station and sidekick for a prism holder. He’s the one finding irons and shooting fences, looking for signs of occupation because “that’s the way he was taught; follow in the footsteps of the original surveyor.” He doesn’t like technology and would prefer if those who have it would just stay away and leave him be. For him, 2 + 2 = 4, but it might need to be prorated down to 3.95 depending on the monuments.

    On the other side of the fence is Kyle the New Surveyor/Geomatics Professional. He’s talked his boss into the latest toys; GNSS on an RTN network, robotic total station with scanning capability, and working on the getting the UAV flying soon with his Part 107 certification. He sees the world as one big GIS database and everything is spatial. Utilities, property corners, and improvements have coordinates with physical addresses just waiting to be collected and stored in the “cloud”. Everything is mathematics, equations and algorithms; numbers don’t lie. For Kyle, 2 + 2 = 4 because the professor said so and completed the proof during lab time.

    While I know these two gentlemen are the extreme opposites of most surveyors, they epitimize a great deal of what is seen in every day business. When these two cross paths, there will always be differences until we can work out common ground for both. For instance, my last article included the “Rule of Construction” for analyzing survey data:

    Priority of Evidence Rules

    1. Possessory Evidence
    2. Seniority of Title
    3. Documentary Evidence

    a. Call for a survey

    b. Call for monuments

    i. Natural

    ii. Artificial

    iii. Record

    c. Distance (or Direction)

    d. Direction (or Distance)

    e. Area

    f. Coordinates

    Kyle loves his coordinates. See where coordinates fall? This is because case law has established the higher weight of survey information. Distances and bearing are above them simply based upon how things have been establish and marked for many generations. Of course, Joe sticks to the monuments. Notice on top of the list is “Possessory Evidence”; fancy words for monuments or other features depicting occupation and/or possession. These are tangible, real items that are observed, locations recorded and relied upon by both the land owner and the surveyor to define boundary lines.

    This goes back to the section above about a “man and his castle” and he wants to know where his kingdom lies. It may be iron rods, fences, shoreline, creek, etc., but he can see it and know what he owns. Because these landowners are the clients of the surveyor, we provide them what they want; tangible boundary limits physically defined.

    But monuments can be a divisive as well. Here is another reason I don’t want to see coordinates take a higher priority:

    monuments-divisive

    As a young surveyor, the term I was taught was “pin farm” and they grow like weeds. Most surveyors feel their corner will be superior to the others and therefore set another rod right beside the others. Jeff Lucas, surveyor and attorney from Alabama, wrote an entire book on “The Pincushion Effect” because of situations like this. When several different surveyors using different GNSS on the same theoretical coordinate system stake a corner based upon varying evidence, this is what we get.

    Also, GNSS might not be involved at all and is simply based upon conventional survey data collection. Or some mix of all of the above. Either way, I count five (5) iron pins and the fence corner; which one fits the data best? Better yet, which one is right?

    The big difference with these examples versus last article’s concern about surveying tens of thousands of acres in Alaska that no one will ever inhabit is simple; it is setting a bad precedent. The surveys in Alaska are to be performed by the BLM and follow their specific guidelines for original surveys, so they are unique in that respect.

    However, by not setting corners per their own standards and utilizing a coordinate-based plat for subdividing townships will send an unintended message to surveyors throughout the states. That message will be that setting corners for government lines will no longer be necessary and simply file a plat with coordinates at your local recorder’s office. If you don’t think it will happen, just check out the multitude of surveyors who use the BLM manual for recreating sections by original surveyor instructions instead of retracement methods. Bottom line is they simply don’t know better.

    As I’ve stated in past columns, I enjoy technology almost as much as I enjoy surveying and hope the innovations continue. I want to continue to push the limits of what we can do with the equipment, software and data but also not forget who we are working for. The clients are the ones who rely on our expertise to show them what they own and how they can work with their property. Spatial data is here to stay and look forward to utilizing it more in all aspects of surveying and engineering. However, existing laws and court cases are going to have to catch up to the technology before we can start placing higher priorities on coordinates and digital data. I do utilize it as much as the next surveyor but try to use it wisely. After all, just like any other professional, aren’t we “practicing” surveyors?

  • Datumate unveils DatuFly, professional imagery app for drones

    Datumate has released a new tablet app for drone flight planning and automated, high-resolution photo-shooting. The DatuFly app saves up to 80 percent of field surveying time and eliminates follow-up site visits, according to the company.

    “DatuFly automates the entire field surveying process, while keeping field work simple and safe,” said Tal Meirzon, Datumate CEO. “Ease of use and survey-grade results makes DatuFly a valuable tool for any surveyor and drone operator. The bundle of Drone, DatuFly app and DatuGram 3D photogrammetry software forms the ideal site surveying solution for professional results.”

    A friendly, wizard-type user interface makes it easy to select the job type and the required outputs to achieve best results. The area of interest is instantly marked on the map, including complex polygons, and the drone is ready for launch.

    Flight and aerial photography, vertical or oblique, are automatic and optimized per job type, such as topography, stockpiles and roads. Mission progress is constantly monitored on the tablet screen, including flight time, distance, waypoints and the required number of batteries.

    Once a battery is exhausted, the drone automatically returns for a battery exchange and resumes flight and photo-shooting from where it left off.

    The DatuFly image-taking plan is executed based on the best-practice requirements of DatuGram 3D, Datumate’s field-to-plan software that automates surveyors’ field and office work, ensuring survey-grade accuracy, high quality and quick results.

    DatuFly is compatible with DJI drones and is available on AppStore for iPads. An Android app will be available in the Google Play store in October 2016.

  • DJI makes smartphone smarter with Osmo Mobile camera system

    DJI makes smartphone smarter with Osmo Mobile camera system

    Stabilized system turns smartphones into intelligent motion cameras

    Drone-maker DJI has launched the Osmo Mobile, an extension for smartphones that turns them into intelligent, precision camera systems.

    Using DJI’s signature three-axis gimbal stabilization and SmoothTrack™ technology, the Osmo Mobile enables smartphone users to shoot effortless, high-quality photos and videos on the go.

    DJI-Osmo-smartphohne-WIn combination with the DJI GO App, cinematic photos and videos can be live streamed or shared instantly on various social media channels. DJI’s ActiveTrack function allows users to simply tap the screen to automatically create perfectly framed shots of objects in motion. Users no longer have to choose between directing a shot or taking part in it.

    “DJI continues to revolutionize the way we capture and share memories,” said Frank Wang, DJI CEO and founder. ” The Osmo Mobile combines the best of DJI’s beloved Osmo smart stabilization technology with the robust DJI GO app. This is a breakthrough, allowing smartphone users unprecedented control of and creative possibilities for their devices.”

    The Osmo Mobile’s three-axis stabilization technology increases precision down to 0.03 degrees of accuracy. In combination with DJI’s SmoothTrack technology, which compensates for shaking and small movements, the Osmo Mobile makes it easy for anyone to capture smooth, cinematic shots.

    By using the trigger control, users can access various modes, as well as switch between the phone’s front and rear cameras. Camera settings, such as ISO, shutter speed and white balance are reachable directly onscreen.

    The Osmo Mobile is compatible with most recent smartphone models, including the iPhone 5, iPhone 6, iPhone 6s Plus, the Samsung Galaxy S7 and Huawei Mate 8. It should accommodate any Android or iOS smartphone with a width between 2.31 and 3.34 inches.

    Features of the Osmo Mobile include:

    • Three-axis stabilization
    • Intelligent SmoothTrack
    • User-friendly DJI GO App with powerful functions (including ActiveTrack, Motion Time lapse, Live Stream, Panorama, Long Exposure, Camera Settings)
    • Trigger control (double-tap for re-center, triple-tap to change between front and rear-end camera, long press for locking gimbal direction)
    • Different operation modes (Standard, Portrait, Flashlight and Underslung)
    • Bluetooth connection
    • 3.5 mm Charging/Upgrade Port
    • Compatible with DJI Osmo accessories
  • Carlson releases BRx6 GNSS receiver for surveyors

    Carlson releases BRx6 GNSS receiver for surveyors

    Carlson Software has released the Carlson BRx6, a multi-GNSS, multi-frequency receiver. Each BRx6 contains a multi-constellation, multi-band 372-channel GNSS receiver, Athena RTK technology and an integrated Atlas L-band receiver.

    PositionIT-Carlson-620x620-e1464842339861In addition, the BRx6 contains electronic sensors that measure tilt, direction (electronic compass) and acceleration, supporting Carlson SurvCE’s advanced features such as LDL (live digital level or e-bubble), leveling tolerance, auto by level, tilted-pole correction and advanced stakeout features.

    SurvCE contains sophisticated checks for compass and acceleration anomalies to ensure accuracy.
    Designed for use by surveyors, contractors, builders and engineers, the Carlson BRx6 delivers the high positional accuracy at an affordable price.

    Manufactured to Carlson’s exacting specifications by Hemisphere GNSS, the BRx6 provides robust performance and high precision in a compact and rugged package, Carlson said. With multiple wireless communication ports and an open GNSS interface, the BRx6 can be used as a precise base station or as a lightweight and easy-to-use rover.

    The BRx6 receiver is powered by an Athena RTK (real-time kinematic) engine. RTK corrections can be received over UHF radio, cell modem, Wi-Fi, Bluetooth or serial connection.

    The BRx6 also works as a base and rover with the new Carlson Listen-Listen cloud-based low latency RTK correction delivery service. The Carlson Listen-Listen service taps the built-in cell modem and reduces the need for UHF radio communication.

    Multiple RTK rovers of any type can “talk to” a single BRx6 base by cell modem or Wi-Fi hot spot over extreme long distances. It reduces or eliminates dependency on VRS systems. Listen-Listen is provided on a free, 30-day trial basis with each BRx6 base and rover package purchased.

    The BRx6 receiver can also be used with the subscription-based Atlas service, Hemisphere’s industry leading global correction service provided over L-band communication satellites and the internet.

    When this service is included in an upcoming release of Carlson SurvCE, BRx6 users can achieve sub-decimeter positioning performance anywhere on earth, without the need for a fixed base station, a virtual reference network or other communication infrastructure.

    The BRx6 can be purchased as either a rover or as a base/rover package. The base/Rover package includes two BRx6 GNSS receivers, two hard-sided carrying cases, four BRx6 batteries with two chargers, one GPS tribrach and one tribrach adapter, and two Carlson GPS receiver poles. The Rover package includes the BRx6 GNSS receiver, carrying case, two BRx6 batteries with charger, and cables. The BRx6 rover is available as a network rover (GSM cell modem only) or as a complete rover with UHF radio and GSM cell modem.

    The Carlson BRx6 GNSS receiver is designed to work seamlessly with most data collectors including Carlson’s rugged and popular data collectors: the Carlson MINI2, the Carlson Surveyor2 and the Carlson RT3ruggedized tablet.

  • Satlab Geosolutions’ RTK Handheld uses tablet or phone as display

    Satlab_SLC3Swedish-based survey and GIS equipment maker Satlab Geosolutions is offering a multi-purpose handheld that sends centimeter-level NMEA position data to the user’s tablet or smartphone.

    The SLC RTK handheld brings professional high-precision positioning in a new design concept with Bluetooth connectivity for Android, Windows and iOS Bluetooth low-energy (BLE) smart devices, according to the company.

    Alternatively, it can be used as a fixed sensor for any compatible NMEA driven positioning application.

    The design includes a mounting plate to attach the user’s tablet device so it acts as the SLC’s display. Connectivity also is available via a USB/RS232 port. With a built-in wireless modem and optional remote antenna and pole- or fixed-mount accessories, the SLC can be configured as a sensor for machine control or other mobile applications.

    SLC is flexible — it can be paired with data-collection software running on Windows, Android or iOS BLE with compatible applications. Its RTK positioning information can be used in numerous markets including land surveying, high-accuracy GIS, web-based facility management, utilities, pipelines, precise farming, hydrography, geophysics or aeronautics. With 32-GB internal memory, the SLC is also able to record RAW data to be used for post-processed applications.

    The SLC has a built-in lithium ion battery and GNSS antenna for up to 12 hours of portable operation. It includes a Telit 3.5G GSM modem for operation as an RTK base or rover, transmitting or receiving corrections from NTRIP networks or via Satlab’s free Internet RTK service. Satlab Internet RTK allows users to stream corrections via IP to any of three Satlab servers around the world; any Satlab rover device can then connect to that same IP connection to receive full GNSS constellation corrections.

    “Our new Scandinavian-designed SLC handheld is a different concept, offering RTK centimeter-level positioning at an incredible price in a flexible form factor,” commented Bjorn Agardh, CEO of Satlab. “With our simple SLC Toolbox software utility, users set up the SLC once, and it remains configured every time it’s used.”

    The SLC comes in two configurations: as a handheld in a soft case with two tablet/panel mounting plates and a charging USB cable; or bundled with external geodetic antenna, cable and pole mount.

  • 4G LTE RTK Bridge-X enables configuration without a cable

    4G LTE RTK Bridge-X enables configuration without a cable

    Housed inside the construction trailer, the RTK Bridge-X with its Ethernet connectivity can physically connect to the internet via an Ethernet cable and then transmit corrections it obtains via both an internal and an external radio, simultaneously.
    Housed inside the construction trailer, the RTK Bridge-X with its Ethernet connectivity can physically connect to the internet via an Ethernet cable and then transmit corrections it obtains via both an internal and an external radio, simultaneously.

    Intuicom has released the Intuicom 4G LTE RTK Bridge-X Communication Hub for the survey, machine control and precision agriculture markets.

    Enhancing the extensive communication capabilities of the standard-setting RTK Bridge product line, the 4G LTE RTK Bridge-X lets users leverage the faster upload/download speeds, the expanded coverage and enhanced connectivity offered by 4G LTE providers including Verizon, AT&T and T-Mobile.

    Supporting all leading precision guidance systems and GNSS manufacturers, the 4G LTE RTK Bridge-X is different from less robust modems by allowing users to access, configure and manage their device from their smartphone, tablet or laptop without being connected by a physical cable.

    With the 4G LTE RTK Bridge-X, productivity in the field can increase. Key features include:

    The 4G LTE RTK Bridge-X by Intuicom.
    The 4G LTE RTK Bridge-X by Intuicom.
    • Faster upload and download speeds.
    • Access, configure and manage without a cable.
    • Improved Wi-Fi and internet capabilities.
    • Enhanced connectivity.
    • Bluetooth functionality.
    • UHF and 900-megahertz radio options.
    • Expanded coverage.
    • Quicker access to real-time networks.
    • Ethernet interface for LAN (local area network) connectivity to the internet.
    • Compatible with all major precision guidance systems and GNSS manufacturers.
    • Cloud-based remote support available.

    “Given the success of the RTK Bridge-X, some manufacturers might be tempted to leave well enough alone, but Intuicom has never been satisfied to sit on our laurels,” says Tom Foley, Intuicom president and CEO. “The 4G LTE RTK Bridge-X further extends our functionality while maintaining our commitment to robust communications in an easy to use device.”

    Ethernet interface. Users can take advantage of the device’s Ethernet interface rather than the embedded cell modem to access the Internet. This capability enables the 4G LTE RTK Bridge-X to be connected via Ethernet to a LAN that has internet access, further enhancing flexibility and expanded functionality.

  • Geneq introduces rugged SXPad 800H GPS data collector

    Geneq introduces rugged SXPad 800H GPS data collector

    Geneq Inc. has released the SXPad 800H, which the company describes as a feature-packed, rugged handheld GPS data collector at an affordable price.

    SXPad_800H_main-WThe SXPad 800H is specifically designed for mobile GIS users in applications ranging from water, electric and gas utilities, transportation, mining, agriculture and forestry.

    The high-performance 800-MHz device is designed to give users all the power needed to work with maps and large data sets in the field. It is designed for rugged outdoor use, the company says, with a waterproof seal (IP65) and ability to survive a 5-foot (1.5-meter) drop to concrete. Its 3.7-inch color touchscreen (full VGA) is sharp and is sunlight readable.

    Standard features include an extra-long battery life of more than 12 hours on a charge, slots for MicroSD cards and SIM cards, and the Windows Mobile 6.5 operating system.

    The SXPad 800H offers features typically seen in more costly mobile devices, the company says, including GSM/GPRS cellular modem, Wi-Fi, Bluetooth, a 5-megapixel camera, and an internal GPS receiver with external GPS antenna port.

    The SXPad 800H is optimized for GPS/GIS field data collection using its 1 to 3 meter accuracy internal GPS receiver or one of Geneq’s high-performance SXBlue GPS receivers for sub-meter and centimeter-level accuracy.

  • Geneq’s iSXBlue receivers fully compatible with Collector 10.4

    Geneq’s iSXBlue receivers are now fully compatible with Esri’s Collector for ArcGIS 10.4. for iOS, according to Geneq.

    The high sub-metric accuracy which characterizes the iSXBlue receivers is thus available in real time for field workers and Collector users.

    Users of the high-recision receivers can take advantage of new features of data collection with the Collector software, particularly:

    • Detailed information about the location and its related accuracy
    • An easy way of setting a minimal precision value during data collection
    • A new simple interface for Bluetooth connection setting with the iSXBlue receiver
    • New correction profile setting to define datum transformations
    • Capture GNSS metadata (accuracy, correction type, DOP,…) and attach it to features you collect
    • Improved notifications for receiver changes or configuration issues

    Users that need centimeter accuracy can use Geneq’s iSXBlue RTN software, available at the Apple App Store. iSXBlue RTN allows users to receive and use RTK corrections via an Internet Protocol (IP) connection (NTRIP or DIP) along with iSXBlue receivers.

  • Latest version of TerraGo Edge improves quality of field data collection

    Latest version of TerraGo Edge improves quality of field data collection

    TerraGo Edge 3.9.5 is now out. The new version offers a number of new, powerful features for iOS, Android and web users, the company announced.

    terrago-logo-200TerraGo Edge is a mobile platform that combines customizable smart forms and workforce management with advanced GPS and GIS features for fast, accurate asset inspections, field surveys, site audits and mobile data collection projects.

    video on the TerraGo website showcases TerraGo Edge v3.9.5 and highlights its features, which include:

    • Measurement Tool: Easily measure and save distances, perimeters & areas for all types of map features.
    • Required Form Field Management: Ensure completion of required form fields with user display, alert and control options.
    • GeoPackage Raster Support: Import GeoPackage raster layers as basemaps for online and offline data collection.
    • Additional Online Map Sources: Access additional free, online map sources and options for building offline maps.

    A demo of TerraGo Edge is available at both the Google Play Store and the Apple App Store.

    “Quality management guides everything we do and the newest version of TerraGo Edge will help us eliminate data entry errors and capture mobile inspection data efficiently and correctly the first time,” said Matthew Colvin, junior team lead, Corrosion Service. “TerraGo’s agile development teams have worked together with us, listened to our ideas and rapidly turned them into valuable features, versus waiting months or years for a new version. For our fast-paced engineering projects, this translates directly into continuous quality improvement, service innovation and successful projects for our customers.”

    “We work closely with our customers as part of our agile development process so we can deliver customer-driven innovation with each and every release of TerraGo Edge,” said Dave Basil, vice president of product development at TerraGo. “In this release, we were able to provide measurement tools and quality assurance features that we think are the best in the market. It’s not because we designed them internally, but based on the assessment of our end users, who tested them under real-life working conditions and gave us the feedback and insights you can’t get from sitting at a keyboard, allowing us to design the optimal user experience.”

  • Establishing orthometric heights using GNSS — Part 8

    Establishing orthometric heights using GNSS — Part 8

    Upcoming Survey Scene newsletters will carry additional columns in this series.


    Basic procedures and tools for determining valid published NAVD 88 GNSS-derived orthometric heights for constraints

    These columns have provided the reader with basic concepts, routines and procedures for understanding, analyzing, evaluating and estimating GNSS-derived ellipsoid and orthometric heights.

    In my last column, Part 7 (June 2016), we analyzed the changes in adjusted heights due to different leveling-derived NAVD 88 height constraints and compared the results with the published NAVD 88 leveling-derived orthometric heights. My column demonstrated how every constraint has an influence on the final set of adjusted heights.

    As mentioned in previous columns, when incorporating new geodetic data into the National Spatial Reference System (NSRS), it is important to maintain consistency between neighboring stations. If the station has moved since the last time its height was established then not constraining the published value and superseding the height is the appropriate action to take. As I emphasized in Part 6 (April 2016), if the difference is not due to movement but due to some other reason such as the results of a previous adjustment distribution correction then superseding the height may not be the appropriate action to take. In Part 6, we looked at the network design of the NAVD 88 project and estimated the potential NAVD 88 distribution correction between two benchmarks involved in the original NAVD 88 general adjustment. It was also mentioned in the last newsletter that all of the analysis and recommendations have been based on using the latest scientific geoid model xGeoid15b.

    However, in practice, GNSS-derived orthometric heights are incorporated into the NAVD 88 using the latest hybrid geoid model, i.e., GEOID12B. I recommend first performing the analysis using the scientific geoid model because the hybrid geoid model has been warped to be consistent with the published NAVD 88 values. This was described in detail in my October 2015 newsletter. The analysis using the scientific geoid should be included in the project report especially if the user finds significant differences between the results using the two different geoid models. In my last column, I stated that “maintaining consistency between closely spaced stations is extremely important when incorporating data into an existing network. Based on the information so far and the results using GEOID12B, I would not recommend constraining the published NAVD 88 heights of stations PHANIEL and PLAZA in the final NAVD 88 GNSS-derived orthometric height adjustment. These two stations resulted in significant changes in relative adjusted heights when they were constrained. (See Part 6.)”

    It was also noted in a previous column (Part 5, February 2016) that 10 of the 2015 GNSS Rowan County Height Modernization project’s stations have published NAVD 88 GNSS-derived orthometric heights. These station are denoted as Height Modernization stations and are important because they are on the edge of the network where there’s a void of published NAVD 88 leveling-derived orthometric heights. In this newsletter, for these 10 stations we will look at the differences between their published NAVD 88 heights and their adjusted GNSS-derived orthometric heights from the Rowan County project.

    First, we need to briefly look at one of the leveling-derived stations — Station PLAZA — that was identified as a potential outlier in Part 7. In that column, I provided the following information about station PLAZA:

    The geodetic data and information for station PLAZA is listed below:

    • As described in Part 6 (April 2016), station PLAZA and station FIFTH have a large relative difference between the adjusted GNSS-derived orthometric height and the published NAVD 88 orthometric height value (-3.2 cm);
    • Four other stations in the vicinity have small relative differences between the adjusted GNSS-derived orthometric heights and the published NAVD 88 orthometric heights values, 37 DRD (0.6 cm), Midtown (-0.1 cm), Midway (1.0 cm), and J 181 (1.1 cm) — indicating a problem with station PLAZA;
    • Station FIFTH and PLAZA are only 400 meters apart, and their adjusted heights were established in two different adjustments: station FIFTH was leveled in 2013 (adjustment date of March 2015) and station PLAZA was leveled to in 1989 (adjustment date of September 1997) — indicating a potential inconsistency between adjustments;
    • PLAZA’s datasheet states that “the station was recovered as described in 2012 except the area between the curb and sidewalk has been filled with concrete. Mark is now part of the sidewalk but does not appear to have been disturbed.”

    Based on the available information to date, I would not recommend constraining the published height of station PLAZA in the final adjustment. Once again, this station’s published height should not be superseded by the GNSS project until new leveling has been performed between station FIFTH and PLAZA.

    As I mentioned, Station PLAZA’s published height should not be superseded by the GNSS project until new leveling has been performed between station FIFTH and PLAZA. Well, ask and you will receive. Gary Thompson, the director of the North Carolina Geodetic Survey, had one of his field crews, which was in the area, relevel the section between station FIFTH and PLAZA. The newly leveled results changed the leveling-derived height of PLAZA relative to FIFTH by 3.5 cm. The new leveling-derived orthometric height of PLAZA now agrees with the GNSS-derived orthometric height to within a centimeter.

    This means that the published height of PLAZA should not be constrained in the final adjustment and should be superseded by the GNSS-derived orthometric height. If the leveling data is submitted to NGS for inclusion into the NAVD 88, then the NAVD 88 height resulting from the new leveling data should be constrained in the final adjustment.

    Now, let’s look at the 2015 GNSS Rowan County Height Modernization project’s stations that have published NAVD 88 GNSS-derived orthometric heights. The user can identify stations that have been established following NGS Height Modernization procedures by looking at NGS datasheets. The datasheets for Height Modernization stations have the following statement at the top of the datasheet: “This is a Height Modernization Survey Station.” In addition to that statement, the NAVD 88 orthometric height is published to the centimeter level with the attribute code of “GPS OBS.” (See the example titled “Excerpt from the NGS Datasheet for Station GOODMAN.)

    Excerpt from the NGS Datasheet for Station GOODMAN

    1 National Geodetic Survey, Retrieval Date = JULY 2, 2016
    DL9977 ***********************************************************************
    DL9977 HT_MOD – This is a Height Modernization Survey Station.
    DL9977 DESIGNATION – GOODMAN
    DL9977 PID – DL9977
    DL9977 STATE/COUNTY- NC/STANLY
    DL9977 COUNTRY – US
    DL9977 USGS QUAD – GOLD HILL (1983)
    DL9977
    DL9977 *CURRENT SURVEY CONTROL
    DL9977 ______________________________________________________________________
    DL9977* NAD 83(2011) POSITION- 35 30 06.47415(N) 080 15 37.24680(W) ADJUSTED
    DL9977* NAD 83(2011) ELLIP HT- 171.358 (meters) (06/27/12) ADJUSTED
    DL9977* NAD 83(2011) EPOCH – 2010.00
    DL9977* NAVD 88 ORTHO HEIGHT – 201.76 (meters) 661.9 (feet) GPS OBS
    DL9977 ______________________________________________________________________
    DL9977 NAVD 88 orthometric height was determined with geoid model GEOID09
    DL9977 GEOID HEIGHT – -30.377 (meters) GEOID09
    DL9977 GEOID HEIGHT – -30.402 (meters) GEOID12B
    DL9977 NAD 83(2011) X – 879,427.184 (meters) COMP
    DL9977 NAD 83(2011) Y – -5,123,507.841 (meters) COMP
    DL9977 NAD 83(2011) Z – 3,683,429.929 (meters) COMP
    DL9977 LAPLACE CORR – 1.70 (seconds) DEFLEC12B
    DL9977
    DL9977 Network accuracy estimates per FGDC Geospatial Positioning Accuracy
    DL9977 Standards:
    DL9977 FGDC (95% conf, cm) Standard deviation (cm) CorrNE
    DL9977 Horiz Ellip SD_N SD_E SD_h (unitless)
    DL9977 ——————————————————————-
    DL9977 NETWORK 0.41 0.80 0.18 0.15 0.41 -0.01103221
    DL9977 ——————————————————————-
    DL9977 Click here for local accuracies and other accuracy information.
    DL9977

    The procedures for analyzing the published NAVD 88 GNSS-derived orthometric heights are the same as those used to analyze the NAVD 88 leveling-derived orthometric heights. These procedures and routines have been documented in my previous columns. There is, however, one major difference between incorporating new leveling data into NAVD 88 and incorporating new GNSS data into NAVD 88. That is, when a station gets superseded in a leveling network adjustment due to previous adjustment distribution corrections, to maintain consistency the older leveling data in the area are readjusted to be consistent with the newly observed leveling data and latest published adjusted heights.

    An adjustment distribution correction from the NAVD 88 general adjustment was discussed in the Part 7 (See Figure 6, “An Example of an Estimate of the NAVD 88 Distribution Correction Between two Stations Established with Old Leveling Data and Large Loops.”). So, what’s the difference?

    Both NAVD88 leveling-derived orthometric heights and GNSS-derived orthometric heights are based on adjustments constraining NAVD 88 published orthometric heights. However, GNSS-derived orthometric heights are also computed using the latest NGS hybrid geoid model. If a station’s GNSS-derived orthometric height gets superseded, the previous GNSS data are not readjusted to be consistent with the latest observations and published heights. Once again, if the station physically moved then superseding the height is the appropriate action and there is no requirement to readjust the older GNSS data.

    However, if the station did not physically move then the new published height may be inconsistent with its neighboring stations. I’m not saying that this is right or wrong, I’m only mentioning it so the user considers this information in their analysis.

    The procedures outlined in NGS’ NGS 59 document, which was discussed in Part 5, were developed to minimize the effect due to different geoid models and superseded heights. (See excerpt titled “Four Basic Control Requirements for Estimating GNSS-Derived Orthometric Heights.”) The requirements include surrounding the project with valid NAVD 88 benchmarks and, if necessary, enlarging the project area to occupy enough leveling-derived benchmarks. The intent of these requirements are to help control any small relative differences between previously published hybrid geoid models. It should be noted that some of the latest hybrid geoid models are significantly different the older hybrid geoid models.

    Therefore, when comparing a project’s adjusted heights with published NAVD 88 GNSS-derived orthometric heights, the user needs to consider which hybrid geoid model was used to establish the published GNSS-derived orthometric height. The NGS datasheet provides the hybrid geoid model and geoid height value used to establish the height. This was highlighted on the datasheet for station GOODMAN (see the example titled “Excerpt From the NGS Datasheet for Station GOODMAN). The statement NAVD 88 orthometric height was determined with geoid model GEOID09 means that station GOODMAN’s GNSS-derived orthometric height was established in a GNSS project using the hybrid geoid model GEOID09. The question is, what’s the difference between GEOID09 and the latest hybrid model?

    The datasheet provides the hybrid geoid model value used to establish the height (in this example, GEOID09 = -30.377 m) as well as the latest hybrid geoid model value (in this example, GEOID12B = -30.402 m). Based on station GOODMAN’s published datasheet, the difference is only 2.5 cm. This difference may be much larger in the mountains of North Carolina.

    Four Basic Control Requirements
    for Estimating GNSS-Derived Orthometric Heights:

    Requirement 1: GNSS-occupy stations with valid NAVD 88 orthometric heights; stations should be evenly distributed throughout project.

    Requirement 2: For project areas less than 20 km on a side, surround project with valid NAVD 88 benchmarks, i.e., minimum number of stations is four; one in each corner of project. [NOTE: The user may have to enlarge the project area to occupy enough benchmarks, even if the project area extends beyond the original area of interest.]

    Requirement 3: For project areas greater than 20 km on a side, keep distances between valid GNSS-occupied NAVD 88 benchmarks to less than 20 km.

    Requirement 4: For projects located in mountainous regions, occupy valid benchmarks at the base and summit of mountains, even if the distance is less than 20 km.

    Station BLACK BEAR, located in the mountains near Asheville, North Carolina, is an example of a significant difference between GEOID09 and GEOID12B; the difference is -14.9 cm. (See the example titled “Excerpt from the NGS Datasheet for Station BLACK BEAR.) This may not be a problem if all stations in the area are effected by the same difference but that’s not the case in this area.

    Station BUCK is a nearby station (about 11 km away from BLACK BEAR) and according to the NGS database “mark_source option”, stations BLACK BEAR and BUCK were involved in the same GNSS project so their GNSS-derived orthometric heights most likely were established in the same adjustment project. [NOTE: The use of the “mark_source” option of the NGS datasheet was described in Part 7.] The GEOID09 and GEOID12B difference at station BUCK is 1.0 cm. The relative difference in hybrid geoid models between stations BLACK BEAR and BUCK is almost 16 cm.

    Excerpt from the NGS Datasheet for Station BLACK BEAR

    PROGRAM = datasheet95, VERSION = 8.9
    1 National Geodetic Survey, Retrieval Date = JULY 26, 2016
    DM2549 ***********************************************************************
    DM2549 HT_MOD – This is a Height Modernization Survey Station.
    DM2549 DESIGNATION – BLACK BEAR
    DM2549 PID – DM2549
    DM2549 STATE/COUNTY- NC/YANCEY
    DM2549 COUNTRY – US
    DM2549 USGS QUAD – MT MITCHELL (1946)
    DM2549
    DM2549 *CURRENT SURVEY CONTROL
    DM2549 ______________________________________________________________________
    DM2549* NAD 83(2011) POSITION- 35 46 00.04321(N) 082 15 54.04248(W) ADJUSTED
    DM2549* NAD 83(2011) ELLIP HT- 1974.465 (meters) (06/27/12) ADJUSTED
    DM2549* NAD 83(2011) EPOCH – 2010.00
    DM2549* NAVD 88 ORTHO HEIGHT – 2004.48 (meters) 6576.4 (feet) GPS OBS
    DM2549 ______________________________________________________________________
    DM2549 NAVD 88 orthometric height was determined with geoid model GEOID09
    DM2549 GEOID HEIGHT – -29.990 (meters) GEOID09
    DM2549 GEOID HEIGHT – -29.841 (meters) GEOID12B
    DM2549 NAD 83(2011) X – 697,556.510 (meters) COMP
    DM2549 NAD 83(2011) Y – -5,135,618.055 (meters) COMP
    DM2549 NAD 83(2011) Z – 3,708,370.482 (meters) COMP
    DM2549 LAPLACE CORR – -6.14 (seconds) DEFLEC12B
    DM2549
    DM2549 Network accuracy estimates per FGDC Geospatial Positioning Accuracy
    DM2549 Standards:
    DM2549 FGDC (95% conf, cm) Standard deviation (cm) CorrNE
    DM2549 Horiz Ellip SD_N SD_E SD_h (unitless)
    DM2549 ——————————————————————-
    DM2549 NETWORK 0.47 0.86 0.21 0.17 0.44 -0.05699591
    DM2549 ——————————————————————-
    DM2549 Click here for local accuracies and other accuracy information.
    DM2549

    chart

    Figure 1 is a contour plot of the differences between GEOID12A and GEOID09 in the area surrounding stations BLACK BEAR and BUCK. [NOTE: The ESRI raster plots are based on GEOID12A not GEOID12B. GEOID12A is identical to GEOID12B everywhere, except in Puerto Rico and Virgin Island region. Therefore, in North Carolina, GEOID12A is equivalent to GEOID12B.] Looking at the plot it is obvious that there is a significant difference between the two hybrid geoid models in this region of North Carolina. What does this mean to someone performing a new GNSS-derived orthometric height adjustment in the area? If they occupied station BLACK BEAR and compared their adjusted GNSS-derived orthometric height using GEOID12B to the NAVD 88 published GNSS-derived orthometric height that was established using GEOID09, they most likely will get a large residual due to the difference between the two hybrid geoid models. As previously mentioned in this newsletter, NGS’ NGS 59 guidelines were developed to minimize the effects of different hybrid geoid models, but in these extreme cases the procedures may not have been able to minimize the total effect. It is important for the user to understand the differences between the various published hybrid models and experimental geoid models being developed by NGS. This topic was discussed in detail in the October 2015 newsletter.

    Figure-1
    Figure 1. A contour plot of the differences between GEOID12A and GEOID09 in the area surrounding stations BLACK BEAR and BUCK.

    Now, let’s look at the published NAVD 88 GNSS-derived orthometric heights occupied in the Rowan County Height Modernization project. Table 1 is a list of the stations occupied in the Rowan County project that have published NAVD 88 GNSS-derived orthometric heights. The table provides the hybrid geoid model value used to establish the published NAVD 88 height as well as the latest hybrid geoid model value, GEOID12B. Figure 2 is a contour plot of the differences between the GEOID12A and GEOID09 in the Rowan County Height Modernization project area. Looking at the plot, the user can see that most of the differences are all less than 3 cm between GEOID12A and GEOID09 in the Rowan County Project area.

    Figure-2
    Figure 2. A contour Plot of the differences between GEOID12A and GEOID09 in the Rowan County Height Modernization project area.

    Table1

    As we can see from Table 1, all of the differences between the two hybrid geoid models are less than or equal to 2.5 cm. (See highlighted rows and column in Table 1.)

    Figure 2 plots the adjusted GNSS-derived orthometric height (using GEOID12B) from a minimally constrained adjustment minus the published NAVD 88 GNSS-derived orthometric heights. Most of the differences are less than 3 cm which for some stations could be a result of the difference hybrid geoid models to establish the published GNSS-derived orthometric heights.

    Looking at figure 2, almost all of the differences between the GNSS-derived orthometric heights (using GEOID12B) from the minimum-constraint least squares compared with the published NAVD 88 GNSS-derived orthometric heights are less than 3 cm. No station appears to be an obvious outlier. The fact that all differences except for one are negative is interesting and is worth investigating at a later date. More analysis will need to be performed to understand if this is significant or not. Table 2 provides the adjusted GNSS-derived heights from a minimally constrained adjustment minus the published heights (both ellipsoid and orthometric).

    The last item to look at is a comparison of the adjusted heights from a constrained adjustment where all valid published leveling-derived heights were constrained. Figure 3 and Table 2 provide the constrained adjustment results (where all of leveling-derived published heights except for the 3 suspect heights were constrained) compared with the published NAVD 88 GNSS-derived orthometric heights. All of the differences are less than +/- 2 cm except for station NATHAN which is -2.1 cm. All of the relative differences of closely-spaced stations are less than 2 cm and most are less than 1 cm. This means constraining these stations should not adversely influence the unconstrained stations. Note that after constraining the published NAVD 88 leveling-derived heights, the negative bias is gone but the differences do not appear to be random. That is, the northern stations are all negative and the southern stations are positive (See figure 3).

    Table2

    Figure 3. A plot of the constrained adjustment results (where all of leveling-derived published heights except for the 3 suspect heights were constrained) compared with the published NAVD 88 GNSS-derived orthometric heights.
    Figure 3. A plot of the constrained adjustment results (where all of leveling-derived published heights except for the 3 suspect heights were constrained) compared with the published NAVD 88 GNSS-derived orthometric heights.

    These newsletters have focused on procedures and routines for establishing GNSS-derived orthometric heights. There are many ways to analyze and investigate GNSS data and adjustment results. I have provided some basic concepts that I believe are important for users to understand. The selection of constraints is a very important part of establishing accurate and consistent NAVD 88 GNSS-derived orthometric heights. It is just as important to document all decisions and results so others know how the published heights were established. NGS has a prescribed set of data and information that are required when submitted data for inclusion into the NSRS. This information is available from the NGS website (see section titled “MATERIALS NEEDED TO SUBMIT FOR THE PROJECT” in the document “adjustment_guidelines.pdf.”). We will address submitting the results in future columns.

    In my next column, I will focus on the NGS GPS on BMS (GPSBM) dataset. This is the dataset used to create the hybrid geoid models; I mentioned this in Part 3. As mentioned in Part 3, the hybrid geoid model is designed to fit the published NAVD 88 leveling-derived orthometric heights. This file can be used to identify potential issues in the NAVD 88 network. GNSS users should be familiar with this dataset and how it can be useful to their analysis. My next column will address this topic.

  • Launchpad: OEM, UAV and survey/mapping products

    OEM

    Geodetic Antennas

    For RTK, PPP, and other precision applications

    TW6000 rendered[1]

    The VP6300 is a triple-band antenna for reception of GPS L1/L2/L5, GLONASS G1/G2/G3, BeiDou B1/B2 and Galileo E1/E5a+b (1165MHz to 1254MHz + 1560MHz to 1610MHz). The VP6200 is a dual-band antenna for reception of GPS L1/L2, GLONASS G1/G2, BeiDou B1/B2, Galileo E1 and the L-Band correction services (1195 MHz to 1254 MHz + 1525 MHz to 1610 MHz). Both antennas have been calibrated by the U.S. National Geodetic Survey and are designed for high-precision applications such as real-time kinematic, precise point positioning and other applications where precision matters. The antennas feature an available, uncommitted printed circuit board for integration of custom electronics such as precision GNSS receivers. Both antennas feature the VeraPhase technology used in the VP6000 all-band reference antenna.

    Tallysman, www.tallysman.com


    ‘Future Proof’ RTK

    For rover or base station

    Image_Altus_APS3G_external_use

    The Altus APS3G is a real-time kinematic (RTK) receiver that brings technology from scientific receivers into the field for professional surveyors. The new multi-constellation APS3G addresses major concerns about compatibility with new satellite constellations, as well as interference and jamming. Built on Septentrio’s AsteRx4 engine, the APS3G tracks all-in-view GPS, GLONASS, BeiDou, IRNSS, SBAS, Galileo and QZSS, including E6/L6 and all other signals known to be available in the medium term. The APS3G incorporates Septentrio’s AIM technology with three notch filters for in-band jamming and chirp jammer resistance, ensuring the highest possible levels of accuracy and resilience under all conditions. It provides optimum GSM signal reception, as well as a built-in advanced UHF receiver for reliable performance on longer baselines, yielding real-time 25-Hz RTK.

    Septentrio, www.septentrio.com


    GNSS Receiver

    Offshore surveys, machine control, crustal deformation

    N72_Hi-res

    CHC’s N72 GNSS series offers high-end receivers for GNSS applications including offshore surveys and machine control, national geodetic networks, crustal deformation monitoring and bathymetry. It was designed to provide all the necessary technical features required for geodetic surveying and demanding applications such as Continuously Operating Reference Stations (CORS), on-board machine control and disaster monitoring. Embedded battery supports 15 working hours without external power supply; 32-GB internal memory integrated and 1TB+ external memory supported; Eight threads of logging with circulating storage and FTP push functions; Wi-Fi, LAN, Bluetooth and serial ports for data communications; and LCD display and function buttons for direct configuration.

    CHC, www.chcnav.com


    Anti-Jam Antenna

    Suitable for airborne platforms

    GAJT-AE 34 view

    The GAJT-AE-N anti-jam antenna is designed for size- and weight-constrained applications such as small airborne and ground unmanned platforms where it is preferable to mount the antenna electronics inside the vehicle. Users can select from a variety of four-element Controlled Reception Pattern Antennas (CRPA) and cabling lengths to meet the form factor requirements of their installation. Interference mitigation is achieved by applying proprietary digital beamforming algorithms to the signals, creating dynamic nulls to give protection against narrowband and broadband interference sources. GAJT-AE-N comes in variants that protect L1 and L2 signals in wide or narrow band. The wide bandwidth version ensures future compatibility with M-code GPS.

    NovAtel, www.novatel.com


    Transportation

    GNSS Modules

    Automotive-grade positioning modules

    UB052(Fig1)

    The NEO-M8Q-01A and the NEO-M8L-01A positioning modules provide concurrent reception of GPS, GLONASS, Beidou and Galileo. The NEO-M8L-01A is suited to providing 100 percent dead-reckoning positioning coverage even in areas of weak signal such as in tunnels or multi-story car parks or those experiencing poor signal quality such as caused by multipath reflections. This module is qualified to operate in the -40 to +85 degrees temperature range. The NEO-M8Q-01 GNSS module is the first GNSS module able to operate across the extended automotive temperature range from -40 to + 105 degrees Celsius.

    u-blox, www.u-blox.com


    Connected Car Reference Platform

    Simplifies integration of advanced connectivity technologies into new vehicles

    2016-06-06-ch-qualcomm-cc-reference-platform

    The Qualcomm Connected Car Reference Platform is aimed at accelerating the adoption of advanced and complex connectivity into the next-generation of connected cars. The product is designed to maintain pace with an ever-increasing set of automotive use cases facilitated by the latest advances in 4G LTE, Wi-Fi, Bluetooth and vehicle-to-everything (V2X) communications. The platform is also designed to solve for challenges such as wireless coexistence, future-proofing and support for a large number of in-car hardware architectures. The Connected Car Reference Platform is built upon Qualcomm Technologies’ broad automotive product and technology portfolio, including quad-constellation GNSS, Snapdragon X12 and X5 LTE modems, and 2D/3D dead-reckoning location solutions, Qualcomm VIVE Wi-Fi technology, Dedicated Short Range Communications (DSRC) for V2X, Bluetooth, Bluetooth Low Energy and broadcast capabilities such as analog and digital tuner support using software-defined radio via Qualcomm tuneX chips. In addition, the platform features in-vehicle networking technologies such as Gigabit (OABR) Ethernet with Automotive Audio Bus (A2B) and Controller Area Network (CAN) interfaces.

    Qualcomm Technologies, www.qualcomm.com


    SURVEY & MAPPING

    TotalStationSurveyTotal Station App

    Connects Android device to information gathered 

    Total Station Survey helps land surveyors and civil engineers view and inspect on any Android device the information gathered by the total station. It connects to the total station using Bluetooth or a USB-serial adapter/converter cable. It can measure horizontal and vertical angle, slope and horizontal distance, and set the horizontal angle on the total station. The app is available free on Google Play.

    Systranova Software, play.google.com


    Laser and Android App

    Collect survey-grade accuracy with an Android device 

    TP300_QM3D_Cedar_TriPod_CloseUp_001

    The TruPoint 300 is a lightweight, compact point-and-shoot laser with survey-grade accuracy. It measures the distance between two remote points and has onboard solutions for volume, heights and 2D and 3D areas. Users can collect 3D measurements from a single location using a personal smart device and capture a photo of every shot taken, using LTI’s MapSmart on Android software. MapSmart combines sophisticated technology typically required to collect field data and puts it into a straightforward app for smart devices. It simplifies the mapping process by allowing users to establish an origin quickly and begin mapping in just minutes. Users can integrate location data using the GPS from a smart device or improve accuracy with an external antenna.
    Laser Technology, www.lasertech.com

    Laser Technology, www.lasertech.com


    Smartphone App

    Quick land measurements 

    GPS Fields Area

    GPS Fields Area Measure Pro is easy, intuitive, app to manage area, distance, perimeter. It enables fast area/distance marking, and ha a Smart Marker Mode for accurate pin placement. Its GPS tracking enables auto measurement while walking or driving around a boundary. Users can share an auto-generated link with boundary/selected area/ direction/route. GPS Field Area Measure useful as map measurement tool for outdoor activities, sports, range finder applications, bike tour planning, or run tour planning, explore golf area, land survey, golf distance meter, field pasture area measure, garden and farm work and planning, area records, construction, agricultural fencing, solar panel installation – roof area estimation, trip planning.

    Studio Noframe, play.google.com


    Dedicated 3D Tablet

    Capture and review 3D images in the field  

    3DTablet

    The EyesMap tablet is a versatile instrument for modeling 3D scenes indoors and outdoors. It provides results while working in the field with real-time measurements. The tablet has a stereocamera, depth sensor scanner, GPS and inertial measureent unit. It also supports external cameras and other topographic instruments. Applications include crime scene investigation, archaeology and architecture documentation, as-built measurements and inspections, industrial and civil maintenance.

    eCapture, www.ecapture.es


    Handheld Collector

    Entry-level GNSS device for GIS 

    TDC100_FrontThe TDC100 handheld data collector is an entry-level GNSS device for a variety of geographic information system (GIS) applications. It combines both smartphone and ruggedized data collection capabilities in a single, mobile device. The Android-based TDC100 can run commercially available or in-house developed applications on a professional, IP-67 ruggedized platform with a sunlight readable display and user replaceable batteries. The built-in GNSS receiver also provides real-time accuracy. It supports GPS, GLONASS and BeiDou, as well as satellite-based augmentation system (SBAS) capabilities.

    Trimble, www.trimble.com


    UAV

    RedHen-UAVreconnaissanceReconnaissance Kit

    Situational awareness for disaster relief

    The Digital Mapping Reconnaissance Toolkit (DMRT) provides real-time reconnaissance for disaster relief and other time-sensitive situations. . It is a custom configuration of cameras, laser rangefinder, GPS unit and software all linked through the Red Hen VMS-333 multiplexing system. Users can create up-to-date orthomosaic maps and 3D models, as well as geotag reference points in impacted areas without a time lag. Users can create search patterns and map with situational awareness. Both modular aerial and land-based solutions are available

    Red Hen Systems, www.redhensystems.com


    UAV Backpack

    Intelligent Obstacle Navigation

    Yuneec Typhoon H with Intel RealSense Technology (PRNewsFoto/Yuneec International)

    The Typhoon H UAV with Intel RealSense Technology comes with a factory installed Intel RealSense R200 Camera and quadcore Intel Atom processor, an ST16 controller with a Wizard controller for dual operator mode, two batteries and extra propellers, all packed in a custom designed backpack. RealSense Technology enables Typhoon H to fly autonomously, intelligently navigating around objects. The Intel RealSense R200 Camera and the Atom processor work seamlessly with the flight-control firmware to add intelligent obstacle navigation. With a combination of specialized cameras and sensors, this Intel system maps and learns its environment in 3D, recognizing each obstacle, planning an alternative route, and safely navigating around it — an advancement over ultrasonic collision prevention, which automatically stops short of obstacles but cannot model the environment or intelligently reroute around obstacles. The module also adds downward facing sensors to improve stability, enabling flight indoors or outdoors close to the ground, even with poor GPS reception.

     Yuneec International, www.yuneec.com


    Intelligence Platform

    Insight for complex missions

    Advanced alerting

    Mission Insight provides UAS operators in deployed situations with a common operating picture in a customized graphical interface. The commercial off-the-shelf application processes and analyzes large streams of data from disparate sources in real-time. It ensures real-time, in-depth data access for mission-critical events even in remote environments or low-bandwidth situations. Complex data filtering, advanced processing and timing techniques enable Mission Insight to prioritize data and allow transmission as low as 2400 baud. The complete information management solution —including archival and replay capabilities in addition to the correlation, fusion and analytical tools — aid in training, post-operation analysis, incident investigation and review of operational effectiveness.

    Simulyze, www.simulyze.com


    Multi-Spectral Camera

    Situational awareness for disaster relief

    Sensefly_Camera_2

    Sequoia is a small, light multispectral UAS sensor that captures images of crops across four highly defined, visible and non-visible spectral bands, plus RGB imagery. Sequoia is fully compatible with the eBee Ag and other eBee platforms via senseFly’s proprietary Integration Kit. It has four 1.2 megapixel sensors (near-infrared, red-edge, red and green) plus one 16 megapixel RGB sensor, providing multispectral and RGB imagery from a single flight. An upward-facing Sunshine Sensor automatically calibrates Sequoia’s multispectral sensors for accurate imagery, whatever the light conditions. The camera unit can be configured over Wi-Fi and has 64-GB of built-in storage; the Sunshine Sensor has GPS, an IMU, a magnetometer and SD card slot

    senseFly, www.sensefly.com


  • Esri and Leica partner to offer GIS/GPS grants to governments

    Geographic information system (GIS) provider Esri has partnered with Swiss-based spatial measurement instrument manufacturer Leica Geosystems to encourage innovation of mobile field data collection in government by offering grants totaling $143,250 in goods and services.

    Projects should combine GIS and GPS.

    esri-logo

    Known as the Smart Communities Innovation Challenge, 10 governments that submit detailed project proposals demonstrating increased efficiencies in collecting data for decision support or improved productivity in delivering governmental services will be selected to receive a grant.

    Project proposals will be accepted from Aug. 15, 2016, until the official submission deadline at 5 p.m. (Pacific daylight time) on Oct. 14, 2016. Grant recipients will be announced on Oct. 31.

    leica_logoTo be entered for consideration, proposal submissions must be uploaded in conjunction with the organization’s identifying information through a form on the Smart Communities Innovation Challenge landing page.

    So long as operations are based in the United States, any government or department, whether municipal, regional, special districts, state, city, county, or otherwise, is qualified to receive a grant.

    To be selected, it is necessary that a project confirm the value of combining GIS and Global Positioning System (GPS) technologies for data collection, optimizing workloads, and providing real-time information that supports field mobility. Proposal reviewers will look for ideas that support complete workflows extended to back-office processes such as operational dashboards.

    Priority will be given to projects that tie GIS and GPS to daily workloads, influence sharing of geographically enabled data across multiple jurisdictions or interdepartmental ventures, and clearly convey a perceived benefit or return on investment.

    The intent of the joint program is to supply governments with the tools to succeed as they implement progressive methods to streamline workflows. By providing technology, training, and technical support grants, Esri and Leica aim to inspire legislative bodies to devise transformational approaches to improving the efficiency of mobile fieldworkers.

    As innovative ideas from the government community are brought forward for solving real-world problems, the best applications will be those of universal appeal and the ability to be shared between governments through an open exchange hub.

    The challenge’s grant winners will be thought-leading governments that have plans in place to jump-start projects such as facility inspections, emergency reporting, asset inventory, environmental management and monitoring, efficient employee routing, code enforcement, population and housing enumeration, mosquito abatement and/or sign inventory.

    To learn more about the Smart Communities Innovation Challenge and other grants sponsored by Esri, visit go.esri.com/pr-mobilegrant.