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    software requirement

    wangaofang
    By wangaofang,
    Can anyone recommend a soft which can extract information(eg.Tree Crowns 、Poles、Building boundary、Power lines、Train) from LAS data  generated from photogrammetry output instead of Lidar and export the result  with shapfefile  or CAD(eg dwg、dxf)format?   I have try the vrmesh 8.5.1,it can not detect vegetation from point cloud generated from photogrammetry .  

    Esri Maps for Office v.3.0 Beta Released

    Lurker
    By Lurker,
    This new version will make it even easier to map your Excel data and work with maps in many new ways. For example, you can add multiple maps to your spreadsheet, change the coordinate system for your maps, float the maps outside the Excel window, and much more. We’ve also listened to your feedback from the Tech Preview program. We’ve made the map tools easier to find by adding a ribbon to your maps and fixed many of the bugs and known limitations of the tech preview. Here is a list of new featu

    Google Announcing deprecation of the Google Earth API

    Lurker
    By Lurker,
    Over six years ago we introduced the Google Earth API, enabling developers to build rich 3D mapping applications in the browser, using JavaScript. And over the years, developers have built quite a number of fascinating applications.This via Google Earth Blog…   However, the Earth API is built on a technology called the NPAPI plugin framework, and recently, for security reasons, both Chrome and Firefox have announced they’re removing support for this framework. These security reasons, combined

    Esri Explorer for ArcGIS Now Available on Android

    Lurker
    By Lurker,
    Esri released its highly anticipated Android version of Explorer for ArcGIS. The native Android app offers access anywhere to data-rich, visually stunning maps. It combines the industry leader in mapping software, Esri, with the world’s most popular mobile-device platform, Android.   Governments, utilities, natural resources, and other commercial businesses have already used Explorer for ArcGIS on iOS and OS X to brief stakeholders, tell stories, and find assets. A sketch function enables high

    Juniper Systems’ New Allegro 2™ Rugged Handheld Now Shipping

    Lurker
    By Lurker,
    Juniper Systems’ newest rugged handheld, the Allegro 2™, is now shipping. The handheld was announced in October as the latest of Juniper Systems’ well-reputed Allegro handheld line, and is touted as having been “designed for the data-intensive.” That means, according to Juniper Systems, that every aspect of the Allegro 2 was carefully designed to maximize efficiency and precision, making it a proficient tool for high-volume data collection. The Allegro 2 features improvements like a newly desig

Portal by DevFuse · Based on IP.Board Portal by IPS
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    • Sometimes you need to create a satellite navigation tracking device that communicates via a low-power mesh network. [Powerfeatherdev] was in just that situation, and they whipped up a particularly compact solution to do the job. As you might have guessed based on the name of its creator, this build is based around the ESP32-S3 PowerFeather board. The PowerFeather has the benefit of robust power management features, which makes it perfect for a power-sipping project that’s intended to run for a long time. It can even run on solar power and manage battery levels if so desired. The GPS and LoRa gear is all mounted on a secondary “wing” PCB that slots directly on to the PowerFeather like a Arduino shield or Raspberry Pi HAT. The whole assembly is barely larger than a AA battery. It’s basically a super-small GPS tracker that transmits over LoRa, while being optimized for maximum run time on limited power from a small lithium-ion cell. If you’re needing to do some long-duration, low-power tracking task for a project, this might be right up your alley. https://hackaday.com/2024/10/17/tiny-lora-gps-node-relies-on-esp32/
    • Multiple motors or servos are the norm for drones to achieve controllable flight, but a team from MARS LAB HKU was able to a 360° lidar scanning drone with full control on just a single motor and no additional actuators. Video after the break. The key to controllable flight is the swashplateless propeller design that we’ve seen a few times, but it always required a second propeller to counteract self-rotation. In this case, the team was able to make that self-rotation work so that they could achieve 360° scanning with a single fixed LIDAR sensor. Self-rotation still needs to be slowed, so this was done with four stationary vanes. The single rotor also means better efficiency compared to a multi-rotor with similar propeller disk area. The LIDAR comprises a full 50% of the drone’s weight and provides a conical FOV out to a range of 450m. All processing happens onboard the drone, with point cloud data being processed by a LIDAR-inertial odometry framework. This allows the drone to track and plan its flight path while also building a 3D map of an unknown environment. This means it would be extremely useful for indoor or underground environments where GPS or other positioning systems are not available. All the design files and code for the drone are up on GitHub, and most of the electronic components are off-the-shelf. This means you can build your own, and the expensive lidar sensor is not required to get it flying. This seems like a great platform for further experimentation, and getting usable video from a normal camera would be an interesting challenge.   Single Rotor Drone Spins For 360 Lidar Scanning | Hackaday
    • The fall update to Global Mapper includes numerous usability updates, processing improvements, and with Pro, beta access to the Global Mapper Insight and Learning Engine which contains deep learning-based image analysis tools. Global Mapper is a complete geospatial software solution. The Standard version excels at basic vector, raster, and terrain editing, with Global Mapper Pro expanding the toolset to support drone-collected image processing, point cloud classification and extraction, and many more advanced image and terrain analysis options. Version 26.0 of Global Mapper Standard focuses on ease-of-use updates to improve the experience and efficiency of the software. A Global Search acts as a toolbox to locate any tool within the program, and a source search in the online data streaming tool makes it easier to bring online data into the application. Updates for working with 3D data include construction site planning to keep all edited terrain for a flattened site within a selected area and the ability to finely adjust the vertex position of 3D lines in reference to terrain in the Path Profile tool. Perhaps the largest addition to Global Mapper Pro v26.0 is the availability of the new Insight and Learning Engine which provides deep learning-based image analysis. Available with Global Mapper Pro for a limited time for users to test and explore, users can leverage built-in models for building extraction, vehicle detection, or land cover classification. These models can even be fine-tuned with iterative training to optimize the analysis for the data area.
    • Responding to the escalating threats from climate change, biodiversity loss, pollution and extreme weather and the need to take action to address these threats, this forward-looking strategy outlines a bold vision for Earth science through to 2040. By leveraging advanced satellite-based monitoring of our planet, ESA aims to provide critical data and knowledge to guide action and policy for a more sustainable future. ESA’s Director of Earth Observation Programmes, Simonetta Cheli, said, “As a space agency, it is our duty to harness the unique power of Earth observing technology to inform the critical decisions that will shape our future. “Our new Earth Observation Science Strategy underscores a science-first approach where satellite technology provides data that contribute to our collective understanding of the Earth system as a whole, so that solutions can be found to address global environmental challenges.” “The choices we make today help create a more sustainable world and propel the transformation towards a resilient, thriving global society.” The new Science Strategy presents a bold and ambitious vision for the future of ESA’s Earth Observation Programmes. It shifts focus towards understanding the feedbacks and interconnections within the Earth system, rather than targeting specific Earth system domains.
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