Welcome to Globhe's Free Sample Data page, where we invite you to explore the capabilities of drone data firsthand. Here, we offer a selection of complimentary sample datasets that showcase the potential of drone data. Whether you're a seasoned GIS professional, a budding enthusiast, or simply curious about the impact of drone technology, these samples provide a valuable opportunity to dive into the world of high-resolution imagery, LiDAR data, thermal scans, and more for your projects and applications.
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Raw images acquired from a drone-mounted RGB/optical camera capturing visible light information. Agriculture, Environment, Forestry and Infrastructure examples in the kit.
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Raw images acquired from a drone-mounted RGB/optical camera capturing visible light information.
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Georeferenced and high-resolution images generated by stitching together raw images collected from a drone's RGB/optical camera.
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A Digital Surface Model produced from RGB drone data that represents the Earth's surface, including structures and vegetation.
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A Digital Terrain Model created from RGB drone data depicting the bare Earth's surface, excluding above-ground objects.
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360-degree panoramic images obtained from a drone's RGB/optical camera for immersive views.
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Topographic maps created using data from a drone's RGB/optical camera, displaying elevation contours and surface features.
Point cloud data collected by a drone-mounted LiDAR sensor, representing precise 3D locations of objects on the Earth's surface.
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A Digital Surface Model derived from LiDAR drone data, showing the Earth's surface, including structures and vegetation.
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A Digital Terrain Model generated from LiDAR drone data, depicting the bare Earth's surface without above-ground objects.
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Raw thermal images captured by a drone-mounted thermal camera, displaying heat signatures.
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Video footage recorded by a drone-mounted thermal camera, providing thermal information in a video format.
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Georeferenced and composite images created by stitching together raw thermal images collected from a drone.
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For detailed explanation of how to interpret Multispectra data and NDVI-maps, read our help section here.
Raw multispectral images captured by a drone-mounted multispectral sensor, providing data across various wavelengths.
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Georeferenced and composite images generated by stitching together raw multispectral images collected from a drone.
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NDVI (Normalized Difference Vegetation Index) maps created from multispectral drone data, indicating vegetation health and density based on spectral analysis.
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The last update to our sample data set was made on November 16, 2023