Pix4D and Parrot Drones Create 3D Multispectral Images of National Park

By Mike Ball / 07 Dec 2016
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Multispectral 3D image of National Park

Pix4D has announced that, as part of a joint project with Parrot, it has used drones and multispectral technology to create a 3D NDVI point cloud of Whitaker’s Forest in Kings Canyon National Park, giving researchers access to information previously hidden. Large air purifiers such as the giant sequoia trees in the Californian national park are key for the environment, and studied to measure how much CO2 they capture.

Multispectral images capture what human eyes cannot: information from spectral bands beyond our sight range. While mapping and modeling from images is increasingly commonplace, multispectral imagery has been limited to 2D map creation. This is a tremendous limitation for all those using multispectral imagery, as without 3D, critical pieces of information may be missing. Recognizing this, Pix4D developed a methodology to leverage multispectral images for 3D point cloud generation.

These special 3D point clouds are produced by merging radiometric information acquired from different spectral bands into a single 3D point cloud geometry. After doing radiometric corrections to obtain reflectance, the observations of a particular point in each band are weighted separately, taking visibility constraints into account to avoid obstructed points, and obtaining a representative reflectance value for that band. As a result, each point in the point cloud contains accurate reflectance values for each observed band. Then the reflectance values are combined according to the Vegetation Index formula that needs to be applied.

Vegetation is not only analyzable from the top-down, but also in 3D, allowing foresters, agronomists and a wide range of other environmental workers to recognize problems in the whole structure of the plant. For example, forest conservation organizations can document the trees with both geometric and radiometric information much faster, rather than spending days to survey and CAD-draw individual trees.

The end result is a 3D NDVI point cloud, where plants can be observed and scouted in their entirety, adding a new dimension to an industry previously constrained to information from plant canopies.

Watch the video below for more information:

Posted by Mike Ball Mike Ball is our resident technical editor here at Unmanned Systems Technology. Combining his passion for teaching, advanced engineering and all things unmanned, Mike keeps a watchful eye over everything related to the unmanned technical sector. With over 10 years’ experience in the unmanned field and a degree in engineering, Mike’s been heading up our technical team here for the last 8 years. Connect & Contact
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