{"id":5166,"date":"2024-04-05T15:07:32","date_gmt":"2024-04-05T14:07:32","guid":{"rendered":"https:\/\/www.gecovisual.com\/?page_id=5166"},"modified":"2024-04-10T16:25:52","modified_gmt":"2024-04-10T15:25:52","slug":"photogrammetry-english","status":"publish","type":"page","link":"https:\/\/www.gecovisual.com\/index.php\/en\/photogrammetry-english\/","title":{"rendered":"Photogrammetry – English"},"content":{"rendered":"

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Drone photogrammetry<\/span><\/span><\/h1><\/header>
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Drone photogrammetry is a geospatial data collection technique that uses aerial images captured by drones to create 3D models or georeferenced maps. This method combines aerial photography with image processing and computational algorithms to generate precise geographic information.<\/p>\n

Here is how drone photogrammetry generally works:<\/p>\n

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  1. Image acquisition<\/strong>: A drone equipped with a camera captures aerial images of the area of interest. These images can be taken from different angles to get complete coverage of the area.<\/li>\n
  2. Control Points<\/strong>: Georeferenced control points are used to correct distortions and ensure data accuracy. These points may be ground targets with known coordinates, often measured with high precision GPS equipment.<\/li>\n
  3. Image processing<\/strong>: Captured images are processed using photogrammetry software. Key points in the images are identified, and algorithms calculate the three-dimensional coordinates of the points from the triangulation.<\/li>\n
  4. 3D modeling or mapping<\/strong>: Once the 3D coordinates are calculated, they are used to create a 3D model of the area or to generate topographical maps, orthophotographs, or other geospatial products.<\/li>\n<\/ol>\n

    Drone photogrammetry is used in various fields such as mapping, environmental monitoring, natural resource management, urban planning, archaeology, agriculture management, and many others. It offers advantages such as speed of data acquisition, flexibility of access to hard-to-reach areas, and relatively lower costs compared to other geospatial data collection methods.<\/p>\n

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