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    Remote Sensing Position at Minnesota University - $45k

    AS
    By AS,
    Position Announcement User Services Support Specialist Polar Geospatial Center, University of Minnesota     Job Open Date: 1/28/2015 Job Close Date: until filled (anticipated start date: 3/16/2015)   Description, Duties and Responsibilities: The Polar Geospatial Center at the University of Minnesota, Twin Cities is seeking an experienced geospatial professional to fill a position in the User Services group. The applicant will be responsible for managing science project support, coordinat

    Mapping using Normal Digital Camera

    opafem
    By opafem,
    Anyone with a start up code for mapping that can work with a normal Digital Camera (e.g GoPro or Canon Powershot SX230 HS)    

    Atmospheric correction without external tool

    winash12
    By winash12,
    I believe my earlier question on another topic was misunderstood. I want to be able to use landsat 8 OLI images and then perform atmospheric correction. I do not want to use ENVI or 6S  or any other software out there.   I want the conceptual understanding of atmospheric correction so that I can implement this in my language of choice i.e. Java or C++

    spatial modeler language

    LAKSHMI
    By LAKSHMI,
    can anyone please help me to analyse each pixel of a raster image using while loop in erdas imagine spatial modeler language ? I have a 4 layered raster image. i need to consider each pixel as a column matrix whose number of rows is equal to the number of layers of the raster image. then the transpose of each pixel matrix is to be find. how to do this in erdas imagine ?

    Collector for ArcGIS

    ahyakbaba
    By ahyakbaba,
    Hi Folks,   Do you have any sufficient document, tutorial, training, lessons etc. about Collector of ArcGIS? OR   Could you please help me this if you know something? Especially offline editing..   Thanks in advance..

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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
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