I use RIGEL's miniVUX-1UAV sensor, which has a wavelength of 905nm. For this wavelength, the drone receives the reflected signal from the top 10cm of snow(DOI:10.3189/2013JoG12J154). Therefore, I wonder if it is possible to use Lidar classification method as mentioned in the paper (doi:https://doi.org/10.5194/tc-2020-37)to classify the point as ground and non-ground point , i.e., to get the snow depth using the data at once? Is the physical mechanism reasonable for snow (Snow reflectivity is high and penetration is low)?
Tianwen Feng On a clear day, LiDAR can provide a high-resolution 3D image by bouncing laser beams off nearby objects, but it cannot see in fog, dust, rain, or snow.