I initially thought so, too, but drawing an elipse over it showed that if there is any slight difference at any point, it just gets lost in the noise. There's no significant difference in radius between the 2 semi ellipses.This may be merely subjective, but I think it does. Remember to ignore the dark shadows.
I am pretty convinced the red band is likely the stray angular light effect as similarly seen in Mick's post #97. It makes sense, the red is predominant in the parts in the scene that are "sandy", showing the effect of material/texture on the light reflectance.My earlier hypothesis in post #73 was that the red ring was caused by self-shadowing, also known as the opposition effect. If the sensor is placed on the drone so that the light from the centre of the scan is reflected directly back to the sensor, then reflections from that region could appear brighter than reflections at the edge of the scan, because the regions at the edge are seen at a more oblique angle and include more shadows. This could apply to the green region almost directly under the drone, since the scanner is scanning that region more obliquely.
Ah, yes. I dismissed that because the distances (8m v 35m) didn't match up. But if the LiDAR sensor is significantly different in behaviour to the ones tested in that paper, then the light that reaches the ground in the green circle might all be slightly defocussed compared to the light further out, and that could cause more light to be lost and scattered away. This would lower the apparent albedo.The raw intensities of twenty laser wavelengths are strongly influenced by changes in distance (Figure 8). With increasing distance (where the leaf is perpendicular to the laser beam at 0°), the raw intensities increase first and then decrease. We can see that the intensity at each laser wavelength of the measured targets increases more rapidly at a distance from 4 to 8 m and then decreases less rapidly greater than that. When the measured range is shorter than around 8 m, the instrumental properties, such as the near-distance reducer or the refractor telescope's defocusing effect, have a significant influence on the raw intensities, and this makes the intensities disaccord with the radar range equation.
I think the red/yellow circle is a function of the angle of incidence with the ground and/or the distance from the drone to the ground.About halfway through the rotation, the viewing angle gets adjusted, but there is no shift in the radius of the corresponding reflexive semicircle, which doesn't match what your hypothesis predicts.
Simply put, if you look at a point 12 times, it doesn't get brighter than if you look at it 2 times.@Eburacum
Not sure if I agree with your conclusion that a denser point cloud will show a higher "back reflection intensity". I am certain the calibration takes care of any system errors that one can expect. But even so, a denser point cloud is a cloud of individual measurements, thus I/O per pulse, where the amount of them does not influence the magnitude of intensity.
Compare:About halfway through the rotation, the viewing angle gets adjusted, but there is no shift in the radius of the corresponding reflexive semicircle, which doesn't match what your hypothesis predicts.
View attachment 60378
It looks to me that to create this scan, they fixed the drone in place and rotated it. The central black area is a "shadow", i.e. a place that the Lidar didn't reach. And the red data might be spurious data that is circular because the drone rotated. Both changed when they adjusted the angle of the Lidar.
You're absolutely right, of course.Perhaps they should do it again, somewhere else?
Yes.Am I misunderstanding what LiDAR does? I thought it rotates internally, in other words with no need to rotate the drone at all. Shift position, yes, but not rotate. Am I incorrect in that?
As it was found they seem to use the sensor as mentioned by @Beck in post #36, I looked into the manual of the sensor (Livox MID-70). They use a radial pattern scanning (non moving) method. The pattern the scanner makes, looks like a daisy wheel / Lissajous curve, covering the FoV.
https://terra-1-g.djicdn.com/65c028...d-70/new/Livox Mid-70 User Manual_EN_v1.2.pdfExternal Quote:
It could be. According to this the LiDAR should be operated at an alitude of 50-100m:So the drone rotates to scan the countryside with a field of view of 70.4⁰ at any one time. I suspect it scans gradually, rather than rotating in jerky segments, but the end result would probably look the same.
The mysterious part to me is why there is a green circle of lower 'reflectivity' underneath the drone, surrounding the black hole of no data. I don't think it is an albedo effect, which might be caused by the local geometry of the ground cover - it looks too even for that. I now think it is connected with the optics of the drone LiDAR system itself.
Looking at the data supplied by @jplaza, laser beams have a focal length which limits their usefulness within a certain distance. If the focal length of the laser in this system is something on the order of 35 metres, then readings inside that distance could be reduced by defocussing. A defocussed beam would return less light to the sensor and look like a less reflective surface.