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    SpicyMags.xyz

    Drone Data Processing 2024

    Posted By: ELK1nG
    Drone Data Processing 2024

    Drone Data Processing
    Published 4/2024
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 3.10 GB | Duration: 2h 34m

    Best practise to process drone data

    What you'll learn

    Introdution to Drone Surveying Tequique

    Cartography and Datum Project

    Planning Survey Drone Mission

    Download Data and Start Processing

    Using Cloud Compare to Filter Point Cloud Drone Survey From Point Cloud to Mesh

    Requirements

    Gis

    Computer Knolodge

    Description

    The course aims to illustrate the main drone survey techniques; in its first part the main reference systems, datums, coordinates, satellite detection systems, how to carry out coordinate conversion and above all the problems of altimetry when carrying out surveys with the drone will be explained.The acquisition of aerial photogrammetric data does not exclude the use of other techniques such as GPS for ground points.There are various techniques that concern processing, merging photos, calculating the right degree of image overlap, planning detection campaigns based on obstacles present in the area, or on the types of missions, as in the case of park inspections wind and/or solar.It is clear that the methodologies can be influenced by the objectives of the survey. As regards data processing, there are semi-free web applications such as WebDrone - or more advanced systems such as Metashape and CloudCompare. Aerial photogrammetric techniques date back to the early 1900s but today cloud computing techniques have significantly automated and improved them, allowing height and position values ​​to be extracted from individual pixels of the image. These height and position values ​​must subsequently be corrected with the Datum Local. The new points must be specifically filtered to extract only the points of the terrain and other required structures.The final products can be different, from DTM to DSM to density maps, or even Covariance Maps and deviation between the detected points (beaten) and those perceived by the drone.

    Overview

    Section 1: Introduction

    Lecture 1 Introdution to Drone Surveying Tequique

    Lecture 2 Cartography and Datum Project

    Lecture 3 Planning Survey Drone Mission

    Lecture 4 Download Data and Start Processing

    Lecture 0 Using Cloud Compare to Filter Point Cloud Drone Survey

    Lecture 0 From Point Cloud to Mesh

    Student and Professional