Recently, Trimble announced that its Trimble® Catalyst™ software-defined Global Navigation Satellite System (GNSS) receiver for Android phones and tablets has been updated to support GLONASS.
GISCafe Voice Archive for the ‘lidar’ CategoryTrimble Catalyst Adds Support for GLONASSThursday, June 28th, 2018Recently, Trimble announced that its Trimble® Catalyst™ software-defined Global Navigation Satellite System (GNSS) receiver for Android phones and tablets has been updated to support GLONASS.
Tags: cloud, data, geospatial, GIS, location, mapping, mobile, navigation, satellite imagery, smartphones Boundless Ventures Offline with the Offline Tile ServerWednesday, June 6th, 2018Anthony Calamito, chief geospatial officer at Boundless talked about the Boundless Offline Tile Server that delivers rapid access to basemaps around the world, drilling down to the street and building level, to professionals who can’t rely on internet connectivity out in the field. Tags: Boundless, cloud, data, hurricanes, imagery, Infrastructure, intelligence, location, mapping, maps, mobile, navigation, OpenStreetMap, USGS 2018 CoreLogic Storm Surge Report Predicts Risk for Coastal AreasThursday, May 31st, 2018The 2018 CoreLogic Storm Surge Report was released Thursday by CoreLogic, a global property information, analytics and data-enabled solutions provider. “While industry predictions for this year’s storm season indicate average activity levels, associated storm surge risk remains an important consideration for residential and commercial properties in the 19 states analyzed,” said Dr. Tom Jeffery, senior hazard scientist at CoreLogic. “Depending on the location of a storm’s landfall and that area’s population density and reconstruction costs, lower Category storms can cause just as much damage as storms in higher categories.” As the U.S. enters hurricane season, the report shows that more than 6.9 million homes along the Atlantic and Gulf Coasts are at potential risk of damage from hurricane storm surge surge with a total reconstruction cost value (RCV) of more than $1.6 trillion (Table 1). Already according to predictions of the National Oceanic and Atmospheric Administration (NOAA), the 2018 hurricane season is expected to have near- to above-normal activity. NOAA predicts a 70 percent chance of 10 to 16 named storms. While not all of them will develop into hurricanes, NOAA predicts five to nine of these will develop into hurricanes, and one to four are predicted to reach Category 3 classification or higher. According to the report, risk from hurricane-driven storm surge for homes along the Atlantic and Gulf coastlines across 19 states, as well as for 86 metro areas is analyzed in the risk CoreLogic analysis. Homes are categorized by five risk levels: Low (homes affected only by a Category 5 storm), Moderate (homes affected by Category 4 and 5 storms), High (homes affected by Category 3, 4 and 5 storms), Very High (homes affected by Category 2, 3, 4 and 5 storms) and Extreme (homes affected by Category 1-5 storms). RCV figures represent the cost to completely rebuild a property in case of damage – including labor and materials by geographic location – assuming the worst-case scenario at 100-percent destruction. Regionally, the Atlantic Coast has more than 3.9 million homes at risk of storm surge with an RCV of more than $1 trillion (Table 2), an increase of around $30 billion compared to 2017. The Gulf Coast has more than 3 million homes at risk with over $609 billion in potential exposure to total destruction damage, with over $16 billion increase compared to 2017. Areas with less coastal exposure but with lower elevations that extend inland tend to have more total homes at risk because the surge water can travel farther inland. Additionally, due to market conditions and previous storm surge damage, construction costs can increase despite having a lower number of at-risk homes compared to other states or Core-Based Statistical Areas (CBSAs). Tags: ArcGIS, climate change, cloud, CoreLogic, data, ESRI, geospatial, GIS, hurricanes, Infrastructure, intelligence, Intergraph, lbs, location, mapping, maps, mobile, navigation, NOAA, real estate, storm surge Special GISCafe Coverage: Geospatial Data Providers and ServicesThursday, May 24th, 2018Data providers abound in the GIS and geospatial industry. Choices range from mapping, built and natural terrain modeling, survey, GIS/LIS technologies, geospatial web, and asset inventory, mapping, geodetic and engineering surveying, photogrammetry, satellite imagery and real-time satellite data, remote sensing, aerial and ground-based LiDAR surveys, geographic and land information systems (GIS/LIS), 3D scanning, and spatial computing and analysis and much more. Tags: air pollution, ArcGIS, Bentley Systems, climate change, cloud, crowdsourcing, data, DigitalGlobe, ESRI, EU Space Imaging, geospatial, GIS, Google, Google Maps, GPS, Harris Geospatial, hurricanes, imagery, indoor mapping, Infrastructure, intelligence, LiDAR, location, mapping, maps, NASA, National Geospatial Intelligence Agency, navigation, NOAA, OpenStreetMap, Pitney Bowes, real estate, remote sensing, satellite imagery, situational intelligence, Street View, USGS, Vricon Esri’s Africa GeoPortal Provides Technology, Data and Training for UsersFriday, May 11th, 2018Esri announced the launch of its Africa GeoPortal, #AfricaGeoPortal, a cloud-based platform that provides rich content and solutions from Esri and its partners for those wanting a vast resource for African nations. Tags: ArcGIS, climate change, cloud, crowdsourcing, data, ESRI, geospatial, GIS, Google, Google Maps, imagery, Infrastructure, intelligence, location, maps, navigation, satellite imagery, social media Calling All Geospatial Data Providers for Upcoming GISCafe Special CoverageFriday, May 4th, 2018Data providers abound in the GIS and geospatial industry. Choices range from mapping, built and natural terrain modeling, survey, GIS/LIS technologies, geospatial web, asset inventory, mapping, geodetic and engineering surveying, photogrammetry, satellite imagery and real-time satellite data, remote sensing, aerial and ground-based LiDAR surveys, geographic and land information systems (GIS/LIS), and spatial computing and analysis, data provided by drones, and much more. Tags: air pollution, autonomous vehicles, EarthSense, hurricanes, indoor mapping, OpenStreetMap, real estate, reality modeling, situational intelligence, small sats Vista LiDAR Sensor Unveiled for Autonomous VehiclesThursday, April 26th, 2018Cepton Technologies, Inc., a provider of 3D LiDAR solutions for automotive, industrial and mapping applications, recently introduced its Vista LiDAR sensor at the annual NVIDIA GPU Technology Conference, making it immediately available for the autonomous vehicle market. Tags: autonomous vehicles, Cepton, cloud, data, esriuc2009, geospatial, GIS, Google, imagery, location, mobile, National Geospatial Intelligence Agency, remote sensing, scanners, sensors, UAV Kinesis Tracks Over 2 Billion Vehicle Tracked Miles with Online Monitoring SolutionFriday, April 20th, 2018Kinesis, the global vehicle tracking solution from Telematics at Radius Payment Solutions in Crewe, UK, recently recorded the milestone of over 2 billion vehicle tracked miles. Since launching in the UK three years ago, Kinesis has installed its state of the art tracking hardware in more than 50,000 vehicles across Europe, Southeast Asia and North America. Tags: data, geospatial, GIS, Google, Google Maps, imagery, Infrastructure, Kinesis, lbs, LiDAR, location, mapping, maps, mobile, navigation, remote sensing An Underground Map of the WorldThursday, April 12th, 2018Mark Smith, CEO of Geospatial Corporation, spoke this week with GISCafe Voice about the challenges of mapping the underground, which includes mapping underwater. The company’s goal is to create an underground “map of the world,” by doing it “one pipeline at a time.” This is a sensible approach to a project that may seem a bit like trying to eat an elephant (start with the toes!). With the help of sensors and Geospatial’s cloud-based GIS platform, GeoUnderground, it looks like the goal is highly attainable.
The most obvious challenge is that the pipelines and conduits are underground or underwater and that makes the selection of the data acquisition methodology very important. I like to say that the difference between locating and mapping is pretty straight forward. Locators attempt to “clear” an area for a specific reason, such as in preparation for a construction project. At Geospatial Corporation, we approach a project in a very “holistic” manner. We know there is no “silver bullet” that will allow us to accurately map every type of buried infrastructure within a facility, right of way or municipality. We know that we need to use many types of data acquisition technologies to obtain a complete “picture” or “map” of the underground. In addition, getting this vast amount of data properly into a GIS platform from the field, often with numerous techs collecting below and above ground over large areas is in itself a trick. For this we have developed GeoUnderground, our proprietary cloud-based GIS platform built on Google Maps. GeoUnderground provides an economical, SaaS based, powerful yet very simple to use GIS Platform accessible from any phone. Our goal is to have every data acquisition tool seamlessly integrate into GeoUnderground.
At Geospatial we consider our data acquisition technologies to be simply “sensors on a platform”. The platform could be designed to run inside of a pipeline or conduit and have various types of gyroscopic or electromagnetic sensors. These technologies are extremely accurate under most conditions and allow us to accurately map in x,y&z pipelines and conduits as small as 1.5 inches in diameter to 20 feet in diameter. These technologies are often used on projects for telecom, (Such as AT&T, Comcast & Verizon). This is also applicable for sewers, gas lines and numerous other types of infrastructure. We have developed a method of combining technologies to geo-reference the video collected inside a pipeline during periodic inspections. This allows the pipeline owner to locate any defects within the pipeline, providing an exact xy&z location of the defect. This also allows the video data to be stored and viewed, edited and shared on GeoUnderground. We are constantly looking for new types of data acquisition and data management technologies to be added to GeoUnderground. To this end, we are creating strategic alliances with numerous sensor companies.
Yes, our slogan is that we are creating a map of the world’ underground, one pipeline at a time. In reality we are aggregating data of behalf of our clients that is slowly, but surely creating a map of the underground. As more and more of our clients realize the benefits of mapping and knowing the location of their critical assets, the mitigation of risk and the ROI obtainable from sophisticated analysis, they will accelerate the mapping of their underground and above ground assets. More and more infrastructure stakeholders are beginning to plan to map their entire facility.
It’s a massive undertaking to attempt to map the underground. Just as we are constantly finding new sensor applications, we are also exploring new software applications utilizing Blockchain, machine learning and artificial intelligence.
Geospatial doesn’t repair or replace pipelines, but we do have several ways to map pipelines underwater involving either our gyroscopic technologies and our electromagnetic technologies. We have successfully mapped a telecom conduit under the East River in New York City, also the Harlem River in NYC, The Savanna River in Georgia, the Inner Coastal Waterway in Charleston, along with many other rivers and lakes across the USA.
A few years back, no one would have guessed that all of the above ground infrastructure would have been digitally mapped, from the air, from un-manned drones or from the streets. The underground infrastructure is the last unmapped frontier. We can only begin to speculate the many uses and benefits derived from having an accurate 3D map of the underground. Smart City initiatives, increasing Federal and state requirements for gas & oil pipelines, an abundance of new sensors creating the Internet of Things and the ability to run risk analysis on critical pipelines all require management to know the exact position and depth of our critical infrastructure.
Tags: climate change, cloud, data, geospatial, GeoUnderground, imagery, Infrastructure, intelligence, LiDAR, location, mapping, maps, navigation, real estate, remote sensing, underground mapping Street-Level Images Come to ArcGIS Pro with MapillaryThursday, March 22nd, 2018Recently, ArcGIS Pro specialists at the company Mapillary answered a few questions for GISCafe Voice: How long has Mapillary been in existence? What is its primary focus? Mapillary is a street-level imagery platform powered by collaboration and computer vision. The company was founded in 2013. Mapillary combines images from any device into a visualization of the world to generate data for improving maps, developing cities, and progressing the automotive industry. Mapillary’s tools enable anyone to collect, share, and use street-level images. Computer vision technology reconstructs locations in 3D and recognizes objects from the images to generate map data at scale. Today, people and organizations all over the world have contributed over 250 million images toward Mapillary’s mission of helping people understand the world’s places through images and making this data available. What does the new Mapillary for ArcGIS Pro beta contain – what are its primary features? The Beta focuses on bringing Mapillary public imagery into ArcGIS Pro. In short, it lets customers:
What was in the previous release and why did you make certain feature upgrades? The latest version, available in Public Beta, contains the same general functionality as earlier releases. However, we’ve made considerable performance improvements. Earlier releases of Mapillary for ArcGIS Pro faced a challenge when rendering the large number of features required to show our imagery coverage. Our previous method of serializing vector tiles into a feature layer came coupled with a decrease in performance. For the Public Beta, we’ve notably increased performance and reduced system overhead by serving vector tiles directly into ArcGIS Pro. This means a faster and more efficient experience using Mapillary Imagery from the add-in. Is a specific type of camera used? The imagery on Mapillary is contributed collaboratively by Mapillary users all over the world: individuals, companies, non-profits, and governments. The platform is device-agnostic so every contributor uses a camera setup that suits them best, from Mapillary mobile apps to action cameras to professional 360-degree cameras. What kind of geotagging of photos is used? The Mapillary mobile apps (including integrations with some common action and 360-degree cameras) save location information into the image EXIF during capture and is then uploaded to Mapillary directly via the app. In addition, any geotagged images can be uploaded with help of our web uploader or command line tools. It’s also possible to upload image files together with a .gpx file that’s used for geotagging during the upload process. Tags: ArcGIS, cloud, crowdsourcing, data, ESRI, geospatial, GIS, Google, Google Maps, imagery, Infrastructure, intelligence, location, mapping, maps, mobile, reality modeling, remote sensing, satellite imagery, situational intelligence, social media, Street View
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