There is a big data angle to drones, especially in the context of location intelligence and geographic information systems (GIS). Drones are emerging as a terrific way to gather image data from the air.
An UAS can capture images with resolutions down to one inch and deliver that data within hours, compared to the days typically required by manned aircraft.
Remote sensing from a drone is performed much closer to the earth with precise flight paths for increased accuracy and high-resolution data. Drones are frequently used in the geospatial field because they are fast to deploy, affordable, and can produce high quality datasets.
With a mapping drone you can capture accurate aerial imagery and transform it into 2D orthomosaic maps and 3D models of sites. Due to the altitudes at which drones fly, cloud cover is not an issue, meaning fewer weather delays and less unusable imagery.
Data quality depends on the equipment in the payload, and improves by using a gimbal, which is a stabilizing mechanism. LiDAR data generally needs to be processed before it is useful to collectors. Here are some typical data processes:
Whatever field you work in – forestry, asset management, environmental protection, agriculture, humanitarian, remote sensing – drones can provide very real benefits, providing accurate data, quickly and cost-effectively.
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