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    shapefile conversion in ENVI

    A346
    By A346,
    hey,   does anybody know how I can convert a profile to a shapefile or create a georeferenced line with pixel values below that in ENVI?   thx

    New Gps app Gps Mapper

    topoall
    By topoall,
    The first user-friendly and professional application for windows phone devices that performs advanced Gps calculations and mapping. Intended for surveying engineers, civil engineers, architects as well as those involved in real estate.     Description of software features:   Computation of coordinates of surveying points and subsequent mapping of the points  on the map. Ability to store point data files on phone and Onedrive.   Exporting final results of calculations in Drawing Exchange Form

    Geocortex Essentials v4 Silverlight Viewer

    group5e
    By group5e,
    Hello and I am almost finished completing a GIS application using Geocortex Essentials with the silverlight viewer template and have a couple of questions for anyone who is experienced.   1. When creating a Feature Description my photos will not show up. I've had my photos in a virtual directory for a previous flex application we've ran for a couple of years now and have had no issues. In fact, when putting in a simple request such as <img src> in the editor but not in the mapping applic

    Wich type of UAV drone to use for geomorphologic studies ?

    Arhanghelul
    By Arhanghelul,
    I have a question for those who use UAV drones: what type of drone is better for geomorphological studies ? Let's say that I would like to map a landslide or multiple landslides. Should I use a fixed-wing or a multirotor (ex: quadcopter) UAV for this type of field research ? I know that there are different types of landslides, some of them can stretch only on a few slopes (1-5-10 ha), or hundreds of land surfaces.   So, what type of UAV should I use ?    Thx.   Arhanghelul

    Landsat decision tree land cover classification

    Cactuz
    By Cactuz,
    Hi guys!   I`m working on land cover change detection project of Kyiv province in Ukraine using Landsat data and ancillary information. I want to find change in Land Cover from 1990 to 2014 of Kyiv province using Decision Tree approach in ENVI.   I have already done radiometric correction, atmospheric correction and apply cloud mask to whole Landsat`s scenes, and now I have question and request.   Do I need to do mosaicking before classification or mosaicking classified image ?   Does an

Portal by DevFuse · Based on IP.Board Portal by IPS
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    • Hello! Hello!   Join us on Wednesday [GIS DAA] for a zoom webinar as we discuss "The Future of GIS: Emerging Technologies and Global Impact in Different Sectors" and "GIS for Sustainable Development."   Our event will feature two distinguished key speakers, senior specialists in the field, who will enlighten us with their insights and expertise.   Save the date and stay tuned for more details on this exciting opportunity to explore the cutting-edge advancements and societal applications of Geographic Information Systems. Here is the registration link: https://shorturl.at/f5W68   See you there! #IRESexperience
    • 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.
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