Tag: Geospatial Solutions

  • Golden Software releases updated 3D surface mapping package

    Image: Golden Software
    Image: Golden Software

    Golden Software has improved visualization and other functionality in the new version of its Surfer gridding, contouring and 3D surface mapping package. Surfer users now have a greater number of options for displaying their scientific data in the new version, the company said.

    Surfer enables users to model data sets, apply an array of advanced analytics tools and graphically communicate the results in ways anyone can understand, Golden Software added.

    “In the new Surfer release, we worked on making it easier for users to gain insights into their data sets by providing additional visualization tools,” said Kari Dickenson, Surfer product manager. “New display options also enable users to more easily communicate the information extracted from their data.”

    The updated Surfer

    In its latest version of Surfer, Golden Software has added the peaks and depressions layer type. This layer type automatically identifies and outlines closed high and low areas, or peaks and depressions, in a grid file. In addition, a statistics report is generated for the areas, including information such as length, width, depth, volume and orientation. The feature also allows high and low areas to be colorized, annotated and displayed on their own.

    The company also added four new capabilities to 3D Views: color scale bars can be added to explain the elevation, concentration or other data values depicted by colors; VRML file format exporting enables users to export their 3D Surfer model into another 3D software package or to a 3D printer; anti-aliasing makes axes and grid lines inside the 3D model appear smoother and more professional; and improved 3D PDF exporting has reduced the PDF file size and made the file exporting process faster.

    In addition, Golden Software added several existing capabilities to the automation function so that users can write scripts to automate certain workflows. Automated features now include base from data layer type, vector base map symbology, new scale bar options, new legend options and new grid data options. Finally, the new Surfer version allows users to identify objects in vector base maps, such as polygons, polylines or points, by automatically renaming them based on any attribute, as well as select multiple polygons and choose to calculate their statistics, areas or volumes either as a single combined polygon or as individual polygons.

    Surfer Beta

    Golden Software released a Beta version of Surfer simultaneously with the new version to give customers a chance to try out new features while they are still in development. The three features the company plans to release for the spring/summer 2021 release of Surfer include 3D base maps, contour volume/area calculation and more automated features.

    The 3D base maps feature allows .DXF, .SHP and other file formats to be imported with their 3D geometry (3D polylines, polygons and polymeshes) and displayed as three-dimensional features in the 3D View.

    A new shortcut also will enable users to calculate volumes and areas above, below or between contour lines with just a few clicks of the mouse, the company said. Finally, additional functions that have been added to automation include point sample, grid project, new classed post layer options and label options for the degrees-minutes-seconds label format.

    Golden Software, headquartered in Golden, Colorado, develops 2D and 3D scientific modeling packages.

  • NASA’s Artemis program will need lunar spatial reference system

    We leave as we came, and, God willing, we shall return, with peace and hope for all mankind.”
    —Astronaut Gene Cernan’s closing words, the twelfth and last person on the moon as he stepped back into the Apollo XVII Lunar Module on December 13, 1972.
    Photo: NASA
    Photo: NASA

    Apollo was about vision, courage and discovery. Apollo helped unravel the mysteries of the moon — a serene, desolate, and barren place, bleached by the sun, and covered in a pale, gray, abrasive dust made up of microscopic, razor sharp, glass-like shards called regolith that is 60 feet deep in places.

    Beneath the regolith is the bedrock of the moon — the Lunafirma.

    The next phase of exploration is building a permanent base station on the moon, aptly named Artemis, Apollo’s twin sister. It would be fitting when mankind returns that the next person who steps out onto the lunar surface were a woman.

    Figure 1. (Photo: NASA)
    Figure 1. (Photo: NASA)
    Artemis Moon Log/Program Entry Date 42: Earth Day is Tuesday, November 4, 2025
    The regolith mining operations are proceeding as expected. All operations are 100% solar power until additional mobile thorium reactor units arrive. The only existing thorium reactor unit is the Clavius Crater water extraction operation. Construction of the Selene-1 Moonbase has encountered a setback. No other issues are reported.

    The regolith in the surrounding plain is 6 meters deep. The Miners have not experienced any issues. The electrostatic power suits are repelling the abrasive dust better than expected. The Miners have cleared a 50 m2 area down to the bedrock. From the Gateway observation deck, it appears as a small square crater. The Miners are working non-stop on rotating shifts clearing regolith, recharging, replacing parts, or in transit.

    Analysis of the regolith reveals a uniform distribution of 21% silica, 13% aluminum, 10% calcium, 10% iron, 5% magnesium, and 2% sodium and titanium. Minor amounts of chromium, phosphorus, and potassium are present. Hydrogen is 0.0027%. The metals are all oxides containing 40% elemental oxygen, which is being separated during processing for later use.

    West about 200 km, towards Mare Crisium, the gravitational anomalies increase but within the Selene-1 Moonbase crater the anomalies are negligible. Geospatial analysis of the drill cores show an extensive concentration of lithium beneath a 12-meter-thick layer of basalt east of Ginzel Crater. Towards the south are increased concentrations of titanium and tungsten. Ejection debris discovered during the regolith mining operation showed traces of neodymium. The estimated trajectory of the ejecta points to it coming from the Moiseev Crater complex. An expeditionary rover is in route to collect samples and will arrive in 6 hours. Readings from those samples will be in the next log report.

    The Parabolic Solar Powered (PSP) laser torches in the open crater basin are performing as expected. The Constructors are 3D fusing the regolith into silicate glass forms and transporting them to staging areas for later construction. The higher-than-normal content of iron in the regolith is giving the glass forms a reddish hue.

    At the south pole, the water extraction operation at Clavius Crater has been operating uninterrupted for 816 hours. The thorium reactor is powering the entire operation. The smelter is distilling volatiles out of the regolith at the rate of 1m3 every 8 hours extracting a liter of water every 24 hours. The operation is on schedule for the two 100-liter tanks of water for delivery to the Selene-1 Moonbase by the due date.

    There are five 4G cellular towers around the perimeter of the Selene-1 Moonbase and regolith mining area at 3 km intervals. The cellular array is providing accuracies of 1 millimeter allowing for precision mining, drilling, construction, and transportation. As the operation expands, more towers will be added. Two more towers are stationed at Clavius Crater. The 360° cameras and radar provide continuous surveillance and monitoring.

    Testing of the 3D vision and synthetic neural response systems of the robots is complete and all of them are operational. The real-time connectivity with the robots allows controllers onboard the Gateway to remote link into any of the robots using virtual headsets and haptic body suits for full-immersion control. AI is constantly scanning for anything unusual and alerts the controllers to remote in; otherwise, the robots operate continuously and efficiently. The Miners are clearing nearly 5m3 of regolith every 24 hours during light conditions.

    Phase I is underway. Miners are leveling off the exposed bedrock to begin construction of the landing pad. Once finished, the Constructors will use the PSP laser torches to begin fusing together the silicate glass blocks to make the landing pad. Afterwards, The Miners will begin Phase II and lay the foundation for the railgun to propel the filled mineral containers back to Earth. Both Phase I and Phase II are on schedule.

    The setback encountered during construction of the Selene-1 main base station is due to excessive heat build-up. The Excavators are clearing the floors and shaping the walls within the lava tube. However, the heat from the laser torches is building-up and shutting down the machines prematurely. When the ambient temperatures exceed 160°C the machines shutdown to protect their electrostatic coatings. Having no atmosphere and no wind the heat is not dissipating. The fluid in the heat exchangers is overheating. Until directed otherwise, the Excavators are doing 90-minute shifts and the Torches for 35 minutes. The Torches have to fuse together the support beams and the silicate glass protective layering behind the Excavators to preserve structural integrity. A software update set the laser torches to pulse fire extending the heat build-up for an additional 5 minutes. Only 15 meters have been cleared but the inflatable habitats require at least another 85 meters into the lava tube. The setback pushes back the date for completing the base station by approximately 620 hours. A temporary external module can house the astronauts for their return on April 19, 2026 until Selene-1 is completed.

    The above fictional account of a Moon Log entry for the Artemis program is based on NASA’s mid-October announcement selecting Nokia to build a 4G network on the moon.

    An in-depth look at the announcement holds interest for the GIS community.

    The Artemis program will be heavily dependent on spatial technologies and require a Lunar Spatial Reference System. However, the Moon has significant challenges. There is no constellation of satellites orbiting the Moon to provide precise location data like GPS satellites do on Earth, and it is not possible to develop such a satellite system around the moon because the moon’s gravitational center is lopsided and weighted towards Earth due to tidal lock. This causes orbital decay of lunar satellites until they eventually crash into the lunar surface.

    However, there are four orbital inclinations that allow for indefinite low orbits and may provide for a future Lunar Positioning System (LPS). Such a system would be extremely costly, so a less expensive and more immediate LPS will be a ground-based cellular network array; and 4G is preferred over 5G because it offers longer ranges, which is why NASA selected Nokia. NASA is working on other solutions through the Space Communications and Navigation (SCaN) program.

    Figure 2: Unified Geologic Map of the Moon https://www.usgs.gov/news/usgs-releases-first-ever-comprehensive-geologic-map-moon Orthographic projections of the "Unified Geologic Map of the Moon" showing the geology of the Moon’s near side (left) and far side (right) with shaded topography from the Lunar Orbiter Laser Altimeter. It will serve as a reference for lunar science and future human missions to the Moon. Gravitational mass concentrations are also depicted in the image showing the majority being on the nearside while the farside is void of gravitational concentrations. Check out a video of rotating sphere. https://www.usgs.gov/media/videos/unified-geologic-map-moon (Photo: NASA/GSFC/USGS)
    Figure 2: Unified Geologic Map of the Moon. Orthographic projections of the “Unified Geologic Map of the Moon” showing the geology of the Moon’s near side (left) and far side (right) with shaded topography from the Lunar Orbiter Laser Altimeter. It will serve as a reference for lunar science and future human missions to the moon. Gravitational mass concentrations are also depicted in the image showing the majority being on the nearside while the farside is void of gravitational concentrations. Check out a video of rotating sphere. (Image: NASA/GSFC/USGS)

    In a blow to science fiction novels, it will not be humans out on the barren, dust covered lunar landscape, or in the cold depths of crater shadows with pickaxes and jackhammers. It will be robots working prolonged periods in extreme temperatures running on solar power or nuclear power while constantly bombarded by cosmic rays and direct solar radiation.

    Accomplishing this will require real-time communication with spatially enabled, artificially intelligent machines able to support fully immersive experiences with 3D vision headsets and haptic feedback systems so controllers at the base station wearing special suits can remote into any robot.

    Due to a 2.5-second transmission delay between the Earth and the Moon, Ground Control will be limited to observation and analysis. Autonomous rockets will ferry cargo and supplies between more distant locations on the moon and ferry astronauts back and forth to the Gateway space station.

    The ground-based 4G cellular towers will be mobile units with retractable towers about 25 meters high with a circular array of solar panels that will unfurl about 10 meters up from the base of the mast to protect them from the abrasive regolith dust.

    Beneath the panels rovers and robots will plug in and charge their batteries as they journey to and from the base station. The towers will have 360° cameras and sensors and will provide data links and a localized spatial reference system.

    However, objects in flight, such as autonomous rockets, will require other means to navigate across the moon and between the space-based cargo ships and the base station.

    One solution is visual-inertial odometry (VIO). It uses one or more cameras and at least one inertial measuring device. Those components are already standard on almost every smartphone. Position accuracy using VIO is derived by feature recognition — the most prominent features on the moon are craters.

    In support of this initiative, the National Geospatial Intelligence Agency (NGA) is sponsoring a software developer’s challenge to create algorithms for identifying circular patterns in imagery. It’s harder than you think. Learn more here.

    Figure 3. (Photo: NASA/GSFC/Arizona State University)
    Figure 3. (Photo: NASA/GSFC/Arizona State University)

    The base station will be inside a lava tube beneath the moon’s surface to protect astronauts and equipment from solar radiation and micrometeor impacts. Most of the resources for the moon base will be extracted and processed in-situ, which requires spatial analysis of drill core samples to pinpoint where to mine for minerals in the subsurface layers and where to locate scarce resources such as water. The lava tubes on the moon are also valuable for mining operations but navigating an underground environment with autonomous machines poses challenges of its own, some of which are spatial awareness. The Defense Advanced Research Projects Agency (DARPA) recently held a developer’s challenge to address navigating in subterranean domains.

    “Reaching the Moon by three-man vessels in one long bound from Earth is like casting a thin thread across space. The main effort, in the coming decades, will be to strengthen this thread; to make it a cord, a cable, and, finally, a broad highway.”
    —Isaac Asimov

    William Tewelow works for the Federal Aviation Administration. He is a graduate of the FAA management fellowship program. He served on special assignment to the U.S. Department of Transportation leading a national strategic geospatial iniative for the White House Open Data Partnership. He is a Geographic Information Systems Professional and a speaker for the Maryland STEMnet Scholar program. He was among the first in the nation to earn a Geospatial Specialist Certification from the U.S. Department of Labor while working at NASA Stennis Space Center. He has degrees in Geographic Information Technology, Intelligence Studies and is completing a masters degree in Organizational Management. William is a 23-year veteran for the U.S. Navy serving as a geospatial specialist, imagery intelligence specialist, a naval aviator, a meteorologist and a tactical oceanographer. He is married, enjoys writing and traveling. His favorite quote is, “A man’s mind changed by a new idea can never go back to its original dimension.” —Oliver Wendell Holmes

  • Leica Geosystems launches one app for terrestrial laser scanning portfolio

    Photo: Leica Geosystems
    Photo: Leica Geosystems

    Leica Geosystems has extended its Leica Cyclone FIELD 360 mobile-device app to all Leica Geosystems 3D terrestrial laser scanners for in-field data acquisition and visualization.

    With the push of a button from the mobile-device app, all Leica Geosystems’ laser scanner users can capture high-quality data and verify registration directly in the field, Leica said.

    The Leica ScanStation P-Series, Leica’s survey-grade 3D laser scanners, can now benefit from the existing workflow of the Cyclone FIELD 360 mobile-device app. With the integrated Cyclone FIELD 360 mobile-device app, users can capture and document projects quickly and accurately, view all field workflows, quality control and prepare scan data for downstream use, Leica added.

    “Integrating the ScanStation P-Series laser scanners into the Cyclone FIELD 360 mobile-device app workflow adds in-field visualisation and dataflow benefits, directly linking in-field projects to the Cyclone ecosystem,” said Gerhard Walter, senior product manager at Leica Geosystems. “Customers who own our entire laser scanning portfolio will find it much easier to combine their scan data and not have to buy more equipment as the app can be used on their chosen mobile device to operate the scanners.”

    Leica Geosystems, part of Hexagon, provides scene capture solutions for public safety applications.

  • RedTail Lidar Systems demos mapping capability

    RedTail Lidar Systems partnered with an engineering firm to demonstrate the RTL-400 lidar system’s high-resolution, high-accuracy mapping capability.

    Cross-section of lidar point cloud (Image: RedTail Lidar Systems)
    Cross-section of lidar point cloud (Image: RedTail Lidar Systems)

    According to the company, its lidar imagery was used to generate as-built conditions of a steep ravine to aid in long-term monitoring of the slopes under which a natural gas pipeline was buried.

    A narrow road traversing the top of the ravine through which the pipeline was installed was of concern since the instability could be dangerous. Loss of vegetation along the buried pipeline’s path also makes the area especially susceptible to slides after heavy rainfall.

    Top view of lidar point cloud (Image: RedTail Lidar Systems)
    Top view of lidar point cloud (Image: RedTail Lidar Systems)

    The RTL-400’s high-resolution point cloud data of the 13-acre ravine area was captured in 10 minutes, RedTail Lidar Systems said. The as-built digital elevation model (DEM) created from the lidar point cloud can be compared to future DEMs to determine if any changes have occurred in the slope’s topology, which would serve to identify hazards and provide input for slip mitigation.

    RedTail Lidar Systems is a division of 4D Tech Solutions, a company focused on providing innovative technology-based solutions to address government and commercial customer needs.

  • IQGeo software company acquires OSPInsight for fiber optics

    IQGeo software company acquires OSPInsight for fiber optics

    logoIQGeo, a developer of geospatial productivity and collaboration software for the telecoms and utility industries, has acquired OSPInsight International Inc., a U.S.-based leader in fiber-optic network management.

    Under the terms of the agreement, IQGeo will purchase OSPInsight for $8.75 million, which will be funded through a mix of cash and shares. The completion of the acquisition is subject to shareholder final approval.

    The OSPInsight fiber planning and design software for the telecoms market is highly complementary with IQGeo’s geospatial software that also supports telecoms network operations, according to a press release from IQGeo. While the current IQGeo offering targets larger enterprise network deployments (tier 1 and tier 2 operators), the OSPInsight software is ideally suited for the needs of smaller networks (tier 3 and tier 4 operators) with simple, fast deployments.

    The combination of the two product lines, as well as the telecoms industry and software technology expertise, will enable IQGeo to service an expanded target market in existing and new geographies.

    “The entire IQGeo team is very excited about the business and technology potential that will be created by the acquisition of OSPInsight,” said Richard Petti, CEO at IQGeo. “With more than 25 years of industry experience, they have developed an excellent product line and established an impressive list of customers, while building a very strong reputation in the telecoms industry. We see this as a fantastic opportunity that provides IQGeo with a proven software solution and sales channel for tier 3 and tier 4 network operators and it gives the OSPInsight team the global reach and financial resources needed to take their software to a wider audience.”

    “The real winner in this acquisition will be OSPInsight customers,” explained Wade Anderson, CEO at OSPInsight. “Our customers will continue to enjoy the same level of support they’ve always had and have a greatly expanded product line for additional network management solutions. Existing and future OSPInsight customers will quickly have access to IQGeo’s industry-leading mobile software that digitizes field operations to improve network data quality and currency. The two product lines dovetail very nicely. I’m excited for the shared vision of providing world-class software that helps our telecoms customers transform their network operations. We can’t wait to get started.”

    You can learn more about the acquisition by visiting the IQGeo Investor page to view a video interview with Richard Petti, IQGeo’s CEO and Haywood Chapman, IQGeo’s CFO.

  • Daewoo E&C partners with SPH Engineering for AI platform

    Logo: SPH Engineering

    SPH Engineering has partnered with Daewoo Engineering and Construction (E&C). Through the partnership, SPH will support Daewoo’s data management projects through its Atlas artificial intelligence (AI) platform, which enables aerial imagery storage, map creation, change tracking, object detection and territory segmentation.

    Photogrammetry data is expected to become one of the key components for storage and processing, SPH added.

    According to the companies, Atlas will enable Daewoo Engineering and Construction to set up an online archive of drone imagery and photogrammetry products, track changes and generate reports, automate object detection and measure the identified objects of interest. The platform also will increase data availability for participants of construction workflow.

    “Atlas can be definitely used in various fields, but it will be a groundbreaking platform, especially in the field of construction survey,” said Geunmok Song (Alex), digital construction team manager at Daewoo Engineering and Construction.

    “When we introduced Atlas back in spring, first of all we wanted to support our existing UgCS customers with an easy-to-use AI tool to store and process data collected with our software integrated to a UAV,” said Alexei Yankelevich, R&D director at SPH Engineering. “We are proud that Daewoo Engineering and Construction, the representative of Korea, has opted for our solution.”

  • Urban surveyors adopt MGISS mapping technology

    Urban surveyors adopt MGISS mapping technology

    Logo: MGISS

    Mobile GIS Services (MGISS) has equipped a team of urban surveyors with new satellite positioning systems to accurately map assets and features such as signage, lighting and landscape features. The technology supplied by MGISS included Leica smart antennas coupled with data management and mapping software.

    For this project, MGISS worked with Occam’s Razor Consulting Limited (ORCL), a specialist in data capture for landowners, to achieve centimeter accurate asset mapping for open spaces and park management. ORCL works for local authorities and housing associations and due to the blocking effects of tall buildings and trees, its existing equipment was not capable of achieving the required levels of accuracy, MGISS said.

    According to MGISS, ORCL had previously been using the Leica GG03 antennas with Leica rugged tablet computer computers. MGISS then recommended ORCL use the GG04 plus Leica smart antenna. ORCL is now operating its new smart antenna with a Leica controller running Zeno Field (an OEM version of ArcPad 10) software.

    According to MGISS, in addition to the ArcPad GIS functionality, Zeno Field provides GNSS raw data logging, easy handling of GNSS configurations, feature accuracy management and an automated workflow between the field and office. ORCL also uses Laser Technology TruPulse rangefinders and Leica Smartnet for its RTK service, all specified and supplied by MGISS. Working with MGISS ORCL will monitor its current workflows as the software develops to support LTI laser rangefinders and will continue to explore new applications, MGISS said.

    “We were interested in very high performance equipment capable of achieving centimeter accuracy in difficult urban canyon conditions and under dense tree canopies,” said David Brown, managing director of Occam’s Razor Consulting. “The new MGISS solution has slotted straight into our existing workflows without any issues at all and is a clear improvement on our previous system. The devices track the newer Galileo constellation, as well as the more established American and Russian satellites, reaching centimeter accuracy quickly and holding the signal well overcoming the challenges of tall buildings and trees.”

  • UP42 partners with Intermap for high-resolution elevation data

    NEXTMap digital surface model (Image: Intermap Technologies)
    NEXTMap digital surface model (Image: Intermap Technologies)

    The NEXTMap Elevation Data Suite from Intermap Technologies is now offered on the UP42 developer platform for Earth observation data and analytics. UP42 gives users direct access to extensive Earth observation datasets and advanced processing algorithms, and Intermap Technologies, based in Englewood, Colorado, is a provider of geospatial datasets, solutions and software.

    The NEXTMap 3D elevation products are available as digital surface models and digital terrain models at one-, five- and 10-meter resolution. According to Intermap, NEXTMap One offers 1-meter spatial resolution, 1-meter vertical and 3.5-meter horizontal accuracy; NEXTMap 5 offers 5-meter resolution, 1.6-meter vertical and 3.5-meter horizontal accuracy; and NEXTMap 10 offers 10-meter resolution, 8.4-meter vertical and 17.5-meter horizontal accuracy.

    “We are excited to add NEXTMap elevation models to the UP42 platform. Our customers need this data for a range of use cases, including monitoring of vital infrastructure projects such as pipelines, powerlines and railway corridors,” said Sean Wiid, CEO of UP42. “High-quality 3D data is critical in every phase of infrastructure management from construction planning to ongoing monitoring of vegetation encroachment.”

    The addition of NEXTMap datasets to the UP42 marketplace enables users to build even more powerful geospatial solutions in the areas of infrastructure management, construction planning, geologic mapping, land cover classification, forestry, resource conservation and contour generation, UP42 said.

    “Our goal at UP42 is to create a single platform where our users have access to all the geospatial data, analytics and processing infrastructure they need to build solutions that solve critical real world problems,” said Wiid. “Intermap’s NEXTMap elevation models dramatically expand our core data offering and, as a result, expand the range of use cases we can help our customers address.”

    The NEXTMap datasets join a variety of Earth observation information already on the UP42 marketplace, including Pleiades 1A/B, SPOT 6/7, Landsat-8, TerraSar-X, Sentinel-2 and MODIS satellite imagery, Getmapping U.K. aerial data, exactEarth AIS data, and Meteomatics weather and ocean data.

  • Earth-imaging and scientific payloads arrive for Ariancespace mission

    Earth-imaging and scientific payloads arrive for Ariancespace mission

    Earth-imaging and scientific payloads have arrived in French Guiana, both designed for Ariancespace’s Vega mission in November.

    The spacecraft were delivered by a chartered Antonov AN-124 cargo jetliner that touched down at Cayenne’s Félix Eboué Airport. They were then transported by road to the Spaceport, where processing is now underway in separate clean room areas of the S5 payload processing facility.

    According to Arianspace, the Vega’s mission with these satellites is designated Flight VV17 in Arianespace’s launcher family numbering system.

    The two satellites include SEOSAT-Ingenio, Spain’s optical observation satellite, and Taranis.

    SEOSAT-Ingenio

    Arianespace’s launch services contract for the SEOSAT-Ingenio satellite was signed with the European Space Agency for Spain’s Center for Development of Industrial Technology (CDTI). The satellite features optical technology, developed primarily by the Spanish space industry with Airbus in Spain as the prime contractor. Its liftoff mass will be approximately 840 kg.

    High-resolution imagery from SEOSAT-Ingenio is to be used for civil and military purposes in such applications as security, land management, natural resources, border surveillance, agriculture and natural disaster crisis management, Arianspace said. The satellite is owned by the Spanish Ministry of Science and Technology, with the CDTI leading the spacecraft project by delegation and also assuming its cost.

    Spain’s SEOSAT-Ingenio (left) is readied for the startup of its checkout process in the Spaceport’s S5 payload preparation facility, which will begin after the external wrapping is removed. The French Taranis scientific satellite (right) undergoes an initial inspection in another of the S5 clean room areas. (Photos: Arianspace)
    Spain’s SEOSAT-Ingenio (left) is readied for the startup of its checkout process in the Spaceport’s S5 payload preparation facility, which will begin after the external wrapping is removed. The French Taranis scientific satellite (right) undergoes an initial inspection in another of the S5 clean room areas. (Photos: Arianspace)

    Taranis

    Taranis, or Tool for the Analysis of RAdiation from lightNIng and Sprites, is named after the god of thunder in Celtic mythology. It will study impulsive transfers of energy between the Earth’s atmosphere and the space environment that occur above thunderstorms.

    Funded by the French CNES space agency, this satellite will have a liftoff mass in the 200-kg. category and is to provide data on the transient luminous events that have been observed in the past 30 years, particularly such phenomena that are called sprites, jets and elves.

    According to Arianspace, both SEOSAT-Ingenio and Taranis will operate in similar orbits at an altitude of approximately 700 km. In ride-sharing this launch on Arianespace’s light-lift Vega launcher, the two spacecraft will be deployed by a VESPA payload dispenser, produced by Airbus in Spain for Avio.

  • Global trends in the mapping industry during the pandemic

    Photo: SimActive
    Photo: SimActive

    By Philippe Simard, Ph.D.
    President, SimActive Inc.

    The COVID-19 pandemic has brought uncertainties to all businesses, and the mapping industry has been no exception.

    Slowdowns were observed during the first few months of 2020 as lockdowns were gradually enforced in Asia, then Europe, and finally the Americas.

    As expected, projects were delayed during that initial period as companies were reorganizing their operations to allow for remote work.

    Once that transition was overcome, a great number of projects resumed, and the geospatial field has been gradually coming back to normal since then. That can be explained by different factors, including, for example, several governments accelerating infrastructure projects to stimulate the economy.

    A lot of mapping firms have turned the pandemic into an opportunity to improve their processes. Slower times allow reviewing production workflows and assessing bottlenecks. Once identified, new hardware and software solutions can be evaluated to optimize production.

    Interestingly, the resulting investments into new solutions has been significant. Companies are seeing a quick payoff as their workload is rapidly accelerating, leading to an increase in their bottom line.

    Overall, the mapping industry was able to rapidly adjust to the new reality caused by the pandemic. The changes that are being made in performing projects not only allow us to minimize risks in the short term, but also to increase profitability in the longer term.


    SimActive is the developer of Correlator3D software, a patented end-to-end photogrammetry solution for the generation of high-quality geospatial data from satellite and aerial imagery, including drones. Correlator3D performs aerial triangulation (AT) and produces dense digital surface models (DSM), digital terrain models (DTM), point clouds, orthomosaics, 3D models and vectorized 3D features.

    Powered by GPU technology and multi-core CPUs, Correlator3D ensures high processing speed to support rapid production of large datasets.

    SimActive has been selling Correlator3D to leading mapping firms and government organizations around the world, offering cutting-edge photogrammetry software backed by exceptional customer support.

  • Comment sought on OGC API standard for geospatial web processing

    Comment sought on OGC API standard for geospatial web processing

    New process simplifies task of computational geospatial processing accessible via web services

    OGC logoThe Open Geospatial Consortium (OGC) seeks public comment on a new draft OGC API standard: OGC API – Processes – Part 1: Core. Comments are due by Oct. 19.

    The draft OGC API – Processes Standard specifies a Web API that enables the execution of computing processes and the retrieval of metadata describing their purpose and functionality. For example, these processes could combine raster, vector, coverage and/or point cloud data with well-defined algorithms to produce new raster, vector, coverage and/or point cloud information.

    The draft OGC API – Processes Standard builds on the Web Processing Service (WPS) 2.0 standard and defines the processing standards to communicate in a RESTful manner using JSON encodings. This API is a newer and more modern way of programming and interacting with resources over the web while allowing better integration into existing software packages.

    In many cases, location data, including data from sensors, must be processed before the information can be effectively used. OGC API – Processes, just like the OGC WPS Interface Standard, provides a standard interface that simplifies the task of making simple or complex computational geospatial processing services accessible via web services.

    Such services include well-known processes found in GIS software as well as specialized processes for 2D/3D/4D modeling and simulation. The API also makes it easy for developers to implement microservices that can handle location data.

    The draft OGC API – Processes Standard provides a similarly robust, interoperable, and versatile protocol for process execution across the Web. OGC API – Processes supports both immediate processing for computational tasks that take little time and asynchronous processing for more complex and time-consuming tasks.

    As with other OGC APIs, OGC API – Processes consists of optional parts that each provide extra functionality. This specification, Part 1: Core, is intended to be a minimal useful API for the execution of processes from the geospatial domain. There are no constraints on the types of processes that can be published through the API. Examples of processes that have been demonstrated during the development of the draft API standard include routing, contour generation, buffering, coverage processing and several others. The API is therefore expected to be applicable to several domains.

    The candidate OGC API – Processes – Part 1: Core standard is available for review and comment on the OGC Portal. Comments are due by October 19, 2020, and should be submitted via the method outlined on the OGC API – Processes – Part 1: Core draft Standard’s public comment request page.

  • Global Mapper v22 has 3D eye dome lighting and lidar painting

    Global Mapper v22 has 3D eye dome lighting and lidar painting

    Terrain Painting in Global Mapper v22. (Image: Blue Marble)
    Terrain Painting in Global Mapper v22. (Image: Blue Marble)

    Blue Marble Geographics has released version 22 of Global Mapper along with an upgrade to the accompanying Lidar Module.

    Global Mapper GIS software provides both novice and experienced geospatial professionals with a comprehensive array of spatial data processing tools, with access to a variety of data formats.

    Among other features, Version 22 includes

    • Eye Dome Lighting settings in the 3D viewer to help improve the visual display of vector and lidar data
    • a new tool for simplifying meshes or TINs
    • a new Spatial Operations tool for analyzing the relationship between overlapping vector features
    • a new option to measure the overlap between two or more lidar, raster/image and terrain layers
    • a new consolidated Digitizer Menu providing convenient access to all drawing and digitizing tools

    The Lidar Module, an optional add-on to Global Mapper, provides advanced point cloud processing tools, including Pixels to Points for photogrammetric point cloud creation using overlapping drone-captured images, automatic and manual point cloud classification, feature extraction, hydro-flattening, and more.

    Terrain Paint tool. The upgraded Lidar Module includes a new Terrain Paint tool for manipulating elevation values in a freeform way, a new algorithm to improve building classification results, improved building extraction with better 3D shape simplification for generating building footprints, a new option to create a process summary report when using the Pixels to Points process, dramatically faster rendering of lidar path profiles with a large number of points, and more.

    “The version 22 release illustrates Global Mapper’s rapidly expanding geospatial footprint,” stated Blue Marble’s President, Patrick Cunningham. “In this one release cycle, we have introduced countless new tools for GIS analysis.Global Mapper is truly an accessible yet powerful GIS platform. As always, we are pleased to be able to bring all of these capabilities together in one GIS platform while keeping the price affordable.”

    Blue Marble Application Specialists will hold a webinar Sept. 30 to showcase Global Mapper v22. This presentation is scheduled to begin at 2:00 pm (U.S. Eastern Time), and it will allow attendees to see the latest tools and ask questions about the new functionality. Registration is required.