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Showing content with the highest reputation since 02/18/2019 in all areas

  1. 3 points
    News release April 1, 2019, Saint-Hubert, Quebec – The Canadian Space Agency and the Canada Centre for Mapping and Earth Observation are making RADARSAT-1 synthetic aperture radar images of Earth available to researchers, industry and the public at no cost. The 36,500 images are available through the Government of Canada's Earth Observation Data Management System. The RADARSAT-1 dataset is valuable for testing and developing techniques to reveal patterns, trends and associations that researchers may have missed when RADARSAT-1 was in operation. Access to these images will allow Canadians to make comparisons over time, for example, of sea ice cover, forest growth or deforestation, seasonal changes and the effects of climate change, particularly in Canada's North. This image release initiative is part of Canada's Open Government efforts to encourage novel Big Data Analytic and Data Mining activities by users. Canada's new Space Strategy places priority on acquiring and using space-based data to support science excellence, innovation and economic growth. Quick facts The RADARSAT Constellation Mission, scheduled for launch in May 2019, builds on the legacy of RADARSAT-1 and RADARSAT-2, and on Canada's expertise and leadership in Earth observation from space. RADARSAT-1 launched in November 1995. It operated for 17 years, well over its five-year life expectancy, during which it orbited Earth 90,828 times, travelling over 2 billion kilometres. It was Canada's first Earth observation satellite. RADARSAT-1 images supported relief operations in 244 disaster events. RADARSAT-2 launched in December 2007 and is still operational today. This project represents a unique collaboration between government and industry. MDA, a Maxar company, owns and operates the satellite and ground segment. The Canadian Space Agency helped to fund the construction and launch of the satellite. It recovers this investment through the supply of RADARSAT-2 data to the Government of Canada during the lifetime of the mission. Users can download these images through the Earth Observation Data Management System of the Canada Centre for Mapping and Earth Observation, a division of Natural Resources Canada (NRCan). NRCan is responsible for the long-term archiving and distribution of the images as well as downlinking of satellite data at its ground stations. source: https://www.canada.ca/en/space-agency/news/2019/03/open-data-over-36000-historical-radarsat-1-satellite-images-of-the-earth-now-available-to-the-public.html
  2. 2 points
    premium web application for ArcGIS Enterprise 10.7 that provides users with tools and capabilities in a project-based environment that streamlines image analysis and structure observation management. Interested in working with imagery in a modern, web-based experience? Here’s a look at some of the features ArcGIS Excalibur 1.0 has to offer: Search for Imagery ArcGIS Excalibur makes it easy to search and discover imagery available to you within your organization through a number of experiences. You can connect directly to an imagery layer, an image service URL, or even through the imagery catalog search. The imagery catalog search allows you to quickly search for imagery layers over areas of interest to discover and queue images for further use. Work with imagery Once you have located the imagery of interest, you can easily connect to the imagery exploitation canvas where you can utilize a wide variety of tools to begin working with your imagery. The imagery exploitation canvas allows you to view your imagery on top of a default basemap where the imagery is automatically orthorectified and aligned with the map. The exploitation canvas also enables you to simultaneously view the same image in a more focused manner as it was captured in its native perspective. Display Tools Optimizing imagery to get the most value out of each image pixel is a breeze with ArcGIS Excalibur display tools. The image display tools include image renderers, filters, the ability to change band combinations, and even apply settings like DRA and gamma. Settings to change image transparency and compression are also included. Exploitation Tools Ever need to highlight key areas of interest through mark up, labeling, and measurement? Through the mark-up tools, you can create simple graphics on top of your imagery using text and shape elements to call attention to areas of interest through outline, fill, transparency, and much more. The measurements tool allows you to measure horizontal and vertical distances, areas, and feature locations on an image. Export Tools The exploitation results saved in an image project can be easily shared using the export tools. The create presentation tool exports your current view directly to a Microsoft PowerPoint presentation, along with the metadata of the imagery. Introducing an Imagery Project ArcGIS Excalibur also introduces the concept of an imagery project to help streamline imagery workflows by leveraging the ArcGIS platform. An ArcGIS Excalibur imagery project is a dynamic way to organize resources, tools, and workflows required to complete an image-based task. An imagery project can contain geospatial reference layers and a set of tools for a focused image analysis and structured observation management workflows. Content created within imagery projects can be shared and made available to your organization to leverage in downstream analysis and shared information products.
  3. 2 points
    As part of ArcGIS Enterprise 10.7, we (ESRI) are thrilled to release a new capability that unlocks versatile data science tools and the limitless potential of Python in your Web GIS deployment. ArcGIS Notebooks provide users with a Jupyter notebook environment, hosted in your ArcGIS Enterprise portal and powered by the new ArcGIS Notebook Server. ArcGIS Notebooks are built to run big data analysis, deep learning models, and dynamic visualization tools. Notebooks are implemented using Docker containers – a virtualized operating system that provides an isolated “sandbox” style environment for each notebook author. The computational resources for each container can be configured by the organization – allowing the flexibility for notebook authors to get the computing resources they need, when they need it. Seamless integration with the portal ArcGIS Notebook Server is a new licensing role for ArcGIS Server. Because it works with the Docker container allocation technology to deliver a separate container for each notebook author, it requires specific installation steps to get up and running. Take a look at the ArcGIS Notebook Server install guide to see how it works. Once you’ve installed ArcGIS Notebook Server and configured it with your portal, you can create custom roles to grant notebook privileges to the members of your organization so that they can create and edit notebooks. Put Python to work for you At the core of the ArcGIS Notebook experience are Esri’s powerful Python resources: ArcPy and the ArcGIS API for Python. Alongside these are hundreds of popular Python libraries, such as TensorFlow, scikit-learn, and fast.ai. It all comes together to give you a complete Python workstation for spatial analysis, data science, deep learning, and content management. The Standard license of ArcGIS Notebook Server, which comes at no additional cost for ArcGIS Enterprise customers, bundles the Python API and nearly 300 other third-party Python libraries built-in. The Jupyter notebook environment has long been an essential medium for Python API users; with ArcGIS Notebooks, that environment is now available directly in the ArcGIS Enterprise portal. Turn analysis into action Location is the common thread that runs through almost any problem. What you buy, who your customers are, the impact that your business has on the natural world, and that the natural world has on your business are all problems of location. Traditional data science has many powerful tools and algorithms for solving problems. Spatial data science – GeoAI – also brings in spatial data, methods, and tools. GeoAI can help you create more effective models that more closely resemble problems you want to solve. Because of this, spatial data science models are better suited to model the impact of the solution you create. . Installation and getting started Esri Jupyter Notebook And those who wants their own free jupyter notebook # install miniconda and hit conda install -y jupyter 😁
  4. 2 points
    Klau Geomatics has released Real-Time Precise Point Positioning (PPP) for aerial mapping and drone positioning that enables 3 to 5 cm initial positioning accuracy, anywhere in the world, without any base station data or network corrections. With this, you Just need to fly your drone at any distance, anywhere. The system allows to navigate with real-time cm level positioning or geotag your mapping photos and Lidar data. You don’t need to think about setting up a base station, finding quality CORS data or setting up an RTK radio link. You don’t need to be in range of a CORS station, you can fly autonomously, in remote areas, long corridors, unlimited range, it just works, giving you centimetre level accuracy, anywhere. Now, with this latest satellite-based positioning technology, 3 to 5cm accuracy can be achieved, anywhere in the world, with no base station. KlauPPP leverages NovAtel’s industry-leading technology to achieve this quantum leap in PPP accuracy. NovAtel PPP and Klau Geomatics hardware/software system is now the simplest, most convenient and accurate positioning system for UAVs and manned aircraft. The bundled solution enables accurate positioning in any published or custom coordinate system and datum. This technology is very applicable to surveying, mapping, navigation and particularly the emerging drone inspection industry, starting to realize that absolute accuracy is essential to analyze change over time in 3D assets. A BVLOS parcel delivery drone can now travel across a country and arrive exactly on it’s landing pad. No range limitations, no base station requirements or radio links. Highly accurate autonomous flight. Large scale enterprise drone companies can deploy their fleet of operators with a simple, mechanical workflow to capture accurate, repeatable data, without the complications of the survey world; of RTK radio links and network connections or logging base station data within a range of each of their many projects. Now they have a simple consistent operation that just works, every time, every location. “Just as Klau Geomatics led the industry from RTK and GCPs to PPK, we now lead the charge to PPP as the next technology for simple, accurate drone operations”, says Rob Klau, Director of Klau Geomatics source : http://geomatics.com.au/
  5. 1 point
    Check my latest fixes (updated 15th April 2019) - http://www.mediafire.com/file/61joa3j8u4e51ii/list.txt
  6. 1 point
    The picture like above are not actual picture of Black Hole (it is a wallpaper 😁 ). Early Wednesday (April 10, 2019) morning, a huge collaboration of scientists are expected to release the first images of the event horizon of a black hole, constructed from data gathered by observatories all over the globe. Combined, the telescopes created a virtual telescope as big as the Earth itself that’s powerful enough to capture enough data from the supermassive black hole at the center of our galaxy. Tomorrow, we may finally see all of that data pieced together. Black holes, by their nature, are impossible to see with the naked eye since they are so dense that no light can escape them. Instead, any images that will be released will be the silhouette of a black hole, an outline against all of the super bright, hot gas that is thought to surround these weird celestial objects. It will be as close as we can get to a picture of a black hole’s infamous “event horizon,” the boundary of a black hole where the gravitational pull is so great that there is no escape. The Event Horizon Telescope actually observed two black holes during one week in April 2017: Sagittarius A*, the supermassive black hole at the center of our Milky Way galaxy, and M87, which is thought to be in the center of a nearby galaxy called Virgo. Both of these objects are thought to be incredibly dense. Sagittarius A*, or SgrA*, is thought to be 4 million times more massive than our Sun and 30 times larger than the star. But because it is so far away — a distance of about 26,000 light-years — the black hole appears to telescopes on Earth as though it is about the size of small ball on the surface of the Moon, according to the collaboration. To focus in on the massive but distant objects, the Event Horizon team employed telescopes in Chile, Hawaii, Arizona, the South Pole, and other locations around the globe. Each telescope measured the radiation coming from the large swaths of gas and dust that are thought to surround black holes. These clouds of gas heat up to billions of degrees, and because the material is so hot, they emit lots of radiation, which the team could then observe from Earth. All of that data was then combined in a supercomputer to make an image that looked as if it came from a single, giant telescope. “This is a picture you would have seen if you had eyes as big as the Earth and were observing in radio,” Psaltis says. Getting all of this data isn’t easy. In fact, the reason it’s taken so long to mount a project of this scale is that the telescopes gather so much information — about one petabyte, or a million gigabytes — of data each night of observing. It’s the largest amount of recording of any other experiment in physics or astronomy, says Psaltis. The team had to wait for hard drive technology to evolve so that it could hold the sheer amount of data that the team was collecting. “Five years ago, you couldn’t buy enough hard drives to have a terabyte of data on a telescope,” says Psaltis. What that enormous amount of data shows could change our understanding of black holes. These objects are so dense that it’s thought that they actually leave an imprint on the surrounding space-time, warping gravity and creating strange effects on their surroundings, which scientists are still trying to understand. A picture of a black hole could tell us more about these odd happenings at the event horizon. - the Verge UPDATE - This is an actual Black Hole ! At the announcement at Washington’s National Press Club. “We now have visual evidence. We know that a black hole sits at the center of the M87 galaxy.” How they took the image First-ever picture of a black hole unveiled
  7. 1 point
    The U.S. Air Force’s second new GPS III satellite, bringing higher-power, more accurate and harder-to-jam signals to the GPS constellation, has arrived in Florida for launch. On March 18, Lockheed Martin shipped the Air Force’s second GPS III space vehicle (GPS III SV02) to Cape Canaveral for an expected July launch. Designed and built at Lockheed Martin’s GPS III Processing Facility near Denver, the satellite traveled from Buckley Air Force Base, Colorado, to the Cape on a massive Air Force C-17 aircraft. The Air Force nicknamed the GPS III SV02 “Magellan” after Portuguese explorer Ferdinand Magellan. GPS III is the most powerful and resilient GPS satellite ever put on orbit. Developed with an entirely new design, for U.S. and allied forces, it will have three times greater accuracy and up to eight times improved anti-jamming capabilities over the previous GPS II satellite design block, which makes up today’s GPS constellation. GPS III also will be the first GPS satellite to broadcast the new L1C civil signal. Shared by other international global navigation satellite systems, like Galileo, the L1C signal will improve future connectivity worldwide for commercial and civilian users. The Air Force began modernizing the GPS constellation with new technology and capabilities with the December 23, 2018 launch of its first GPS III satellite. GPS III SV01 is now receiving and responding to commands from Lockheed Martin’s Launch and Checkout Center at the company’s Denver facility. Lockheed Martin shipped the U.S. Air Force’s first GPS III to Cape Canaveral, Florida ahead of its expected July launch. (Photo: Lockheed Martin} “After orbit raising and antenna deployments, we switched on GPS III SV01’s powerful signal-generating navigation payload and on Jan. 8 began broadcasting signals,” Johnathon Caldwell, Lockheed Martin’s Vice President for Navigation Systems. “Our on orbit testing continues, but the navigation payload’s capabilities have exceeded expectations and the satellite is operating completely healthy.” GPS III SV02 is the second of ten new GPS III satellites under contract and in full production at Lockheed Martin. GPS III SV03-08 are now in various stages of assembly and test. The Air Force declared the second GPS III “Available for Launch” in August and, in November, called GPS III SV02 up for its 2019 launch. In September 2018, the Air Force selected Lockheed Martin for the GPS III Follow On (GPS IIIF) program, an estimated $7.2 billion opportunity to build up to 22 additional GPS IIIF satellites with additional capabilities. GPS IIIF builds off Lockheed Martin’s existing modular GPS III, which was designed to evolve with new technology and changing mission needs. On September 26, the Air Force awarded Lockheed Martin a $1.4 billion contract for support to start up the program and to contract the 11th and 12th GPS III satellite. Once declared operational, GPS III SV01 and SV02 are expected to take their place in today’s 31 satellite strong GPS constellation, which provides positioning, navigation and timing services to more than four billion civil, commercial and military users. source: https://www.satellitetoday.com/launch/2019/03/26/lockheed-martin-ships-second-gps-iii-satellite/
  8. 1 point
    TAU-0707 series GNSS module. (Photo: Allystar) Allystar Technology Co. Ltd. has launched its smallest multi-band multi-GNSS module, the TAU-0707 series. Within its 7.6 x 7.6 millimeter size, the TAU-0707 series module supports major GNSS constellations (GPS / Galileo / GLONASS / BeiDou / QZSS / IRNSS) and all civil bands (L1, L2, L5, L6). As the latest addition to Allystar’s GNSS portfolio, the TAU-0707 series module is a concurrent multi-band multi-GNSS receiver embedded with a cynosure III single-die standalone positioning chipset, which offers multi-frequency measurements to improve positioning accuracy and simplifies integration for third-party applications, said Shi Xian Yang, Allystar marketing manager. Moreover, Allystar also provides the built-in low-noise amplifier in the TAU-1010 series module, which offers the module with improved RF sensitivity and exceptional acquisition and tracking performance even in weak signal areas. With more and more satellites supporting L1/L5 signals, Allystar offers two modules to fully support all civil signals on the L5 band for the standalone market. The TAU1206-0707 and TAU1205-1010 are expected to be better in multipath mitigation mainly due to the higher chipping rate of L5 signals relative to L1 C/A code. L1/L5 band module for standalone market. For professional applications, module TAU1303-0707 comes with built-in support for standard RTCM protocol (MSM), supporting multi-band multi-system high-precision raw data output, including pseudorange, phase range, Doppler, SNR for any kind of third-party integration and application. Module with Raw data output for professional market. Allystar TAU series module offers superior accuracy thanks to the onboard 26-MHz temperature compensated crystal oscillator and a reduced time to first fix relying on its dedicated 32-KHz real-time clock oscillator. Based on 40-nm manufacturing processes of the Cynosure III GNSS chipset, it comes with very low power consumption at less than 40 mA. According to the company, engineering samples and a reference design of the Allystar TAU-0707 and TAU-1010 series module will be available in April. source: http://www.allystar.com/en/index.php?g=&m=news&a=newsinfo&id=32
  9. 1 point
    realy sad news WorldWind team would like to inform you that starting April 5, 2019, NASA WorldWind project will be suspended. All the WorldWind servers providing elevation and imagery will be unavailable. While you can still download the SDKs from GitHub, there will be no technical support. If you have questions and/or concerns, please feel free to email at: [email protected] Update on March 21, 2019 - Answers to common questions about the suspension are available in the NASA WorldWind Project Suspension FAQ. source : https://worldwind.arc.nasa.gov/news/2019-03-08-suspension-notice/
  10. 1 point
    DARPA is seeking information on state-of-the-art technologies and methodologies for advanced mapping and surveying in support of the agency’s Subterranean (SubT) Challenge. Georeferenced data – geographic coordinates tied to a map or image – could significantly improve the speed and accuracy of warfighters in time-sensitive active combat operations and disaster-related missions in the subterranean domain. Today, the majority of the underground environments are uncharted or inadequately mapped, including human-made tunnels, underground infrastructure, and natural cave networks. Through the Request for Information, DARPA is looking for innovative technologies to collect highly accurate and reproducible ground-truth data for subterranean environments, which would potentially disrupt and positively leverage the subterranean domain without prohibitive cost and with less risk to human lives. These innovative technologies will allow for exploring and exploiting these dark and dirty environments that are too dangerous to deploy humans. “What makes subterranean areas challenging for precision mapping and surveying – such as lack of GPS, constrained passages, dark or dust-filled air – is similar to what inhibits safe and speedy underground operations for our warfighters,” said Timothy Chung, program manager in DARPA’s Tactical Technology Office (TTO). “Building an accurate three-dimensional picture is a key enabler to rapidly and remotely exploring and searching subterranean spaces.” DARPA is looking for commercial products, software, and services available to enable high-fidelity, 3D mapping and surveying of underground environments. Of interest are available technologies that offer high accuracy and high resolution, with the ability to provide precise and reproducible survey points without reliance on substantial infrastructure (e.g., access to global fixes underground). Additionally, relevant software should also allow for generated data products to be easily manipulated, annotated, and rendered into 3D mesh objects for importing into simulation and game engine environments. DARPA may select proposers to demonstrate their technologies or methods to determine feasibility of capabilities for potential use in the SubT Challenge in generating and sharing 3D datasets of underground environments. Such accurately georeferenced data may aid in scoring the SubT competitors’ performance in identifying and reporting the location of artifacts placed within the course. In addition, renderings from these data may provide DARPA with additional visualization assets to showcase competition activities in real-time and/or post-production. source : https://www.darpa.mil/news-events/2019-03-07
  11. 1 point
    You may find such NDVI data via satellite imagery service called LandViewer. This tool has a vast database of satellite imagery that is publicly available and is updated on a regular basis. You may set any Index you need to analyze the area of your needs or create any Index of your own. Besides that there are already ready-made tools for obtaining multispectral indices, flexible processing of data on AOI, elementary clustering, using a raster calculator, visualization of scenes in 3D using digital elevation models, changes in territories based on multi-temporal multispectral analysis, as well as creating ready-made animations of changes in terrain and so much more. Here’s a brief guide to types satellite data that can be found on LandViewer. High resolution satellite imagery: SPOT 6, 7 (up to 1.5 m/pxl) SPOT 5 (up to 2.5 m/pxl) Pléiades 1A, 1B (up to 0.5 m/pxl) KOMPSAT-2 (up to 1 m/pxl) KOMPSAT-3А (up to 0.4 m/pxl) KOMPSAT-3 (up to 0.5 m/pxl) SuperView-1 (up to 0.5 m/pxl) Both optical and radar data is available — with global coverage, and short revisiting period that varies from 2 to 5 days. Low & medium resolution imagery: Landsat 4 - archive 1982-1993 Landsat 5 - archive 1984-2013 Landsat 7 - archive since 1999 MODIS - archive since 2012 Landsat 8 - archive since 2013 Sentinel-1 - archive since 2014 Sentinel-2 - archive since 2015 An example of such imagery can be seen below: https://eos.com/landviewer/?lat=33.39447&lng=52.68974&z=11&side=R&slider-id=LV-TEM4-MTYz-MDM3-MjAx-MzM2-NExH-TjAw&slider-b=Red,Green,Blue&slider-anti&slider-pansharpening&id=LV-TEM4-MTYz-MDM3-MjAx-MzM2-NExH-TjAw&b=NIR,Red&expression=(B5-B4)%2F(B5%2BB4)&anti&pansharpening
  12. 1 point
    cool, but costly. i would better recommend https://apps.sentinel-hub.com/eo-browser/?
  13. 1 point
    Esri, the global leader in location intelligence, today announced the acquisition of indoo.rs GmbH, a world-leading provider of Indoor Positioning System (IPS) technology and Esri partner. The indoo.rs software will become part of Esri’s ArcGIS Indoors, a new mapping product that enables interactive indoor mapping of corporate facilities, retail and commercial locations, airports, hospitals, event venues, universities, and more. The acquisition will also provide users of Esri’s ArcGIS platform with imbedded IPS location services to support indoor mapping and analysis. The indoo.rs headquarters will also serve as a new Esri R&D center based in Vienna, Austria focused on cutting-edge IPS capability. The capability to accurately map, manage, navigate, and plan indoor spaces is a rapidly emerging market that promises to decrease costs, increase safety, and provide users of indoor spaces with a better workplace experience. ArcGIS Indoors does this by providing floor-aware 3D maps and focused apps to support a variety of workplace and facility users, including owner/operators, maintenance and service personnel, security staff, employees, and visitors. “indoo.rs is a leading provider of IPS software and services, working with organizations across the globe such as international hub airports, major rail stations, and corporate headquarters, and I am excited to welcome the company to the Esri family,” said Brian Cross, Esri director of professional services. “indoo.rs’ technology, experience, and leadership in the IPS field will be of tremendous benefit to our customers who want to bring the power of GIS to indoor spaces.” The new Vienna-based Esri R&D center will also provide support for IPS within ArcGIS Indoors and across the ArcGIS line of products. Existing indoo.rs customers will now have access to ArcGIS, adding the most powerful GIS software to their indoor mapping uses. “Becoming an integral part of Esri’s product catalog allows us to continue the provision of our services at the highest professional level,” said Bernd Gruber, founder of indoo.rs. “It also fosters new and exciting future developments as well as securing our leading-edge approach.” “We have seen the IPS market skyrocketing over the last few years,” said Rainer Wolfsberger, CEO of indoo.rs, “and our enterprise customers showed a high demand for deep integration of IPS technology to release the benefits of such a solution at all levels of their organization.” The initial release of ArcGIS Indoors will include the acquired indoo.rs IPS capability to enable ArcGIS Indoors mobile apps to work with iBeacon-based IPS systems, which provides “blue dot” accuracy on mobile devices. ArcGIS Indoors supports other IPS formats such as Apple’s indoor position service, and will add support for other IPS providers in coming releases. source: https://www.geospatialworld.net/news/esri-acquires-indoo-rs-and-announces-arcgis-indoors-release/
  14. 1 point
    I think it is more like asset management and navigation for indoor. This is helpful for managing personnel or assets within roofed infrastructure (ie. a large factory, multistorey building or underground construction site who cannot use GPS) by utilizing IoT devices and GIS software. I heard about similar tech when I was at Esri Singapore for few days.
  15. 1 point
    Taking picture of a stranger has become easier though (oh I was just using the map, lady !!). 😉
  16. 1 point
    I need to work on spatial interpolation using multivariate regression of observed AWS precipitation data by introducing variables such as slope, aspect etc. Is there any option in ARCGIS?
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