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Showing content with the highest reputation since 03/21/2019 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. 1 point
    Check my latest fixes (updated 15th April 2019) - http://www.mediafire.com/file/61joa3j8u4e51ii/list.txt
  5. 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
  6. 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/
  7. 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
  8. 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/
  9. 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
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