Incorporating Oblique Images for better canopy detection/differentiation

Agriculture
1

Hi there,

So I’m well aware Oblique imagery is mainly used for 3D mapping and that Pix4dFields is predominately for 2D images but I was wondering if a number of these images could be used to better detect, differentiate and draw more accurate multispectral readings from tree/vine canopies. If so how many could be added and what would be the best angle?

If this is not the case what other methods are there to ensure the data on this type of vegetation is as accurate as possible?

2

Hi.

As you mentioned, only nadir images are recommended in PIX4Dfields. A certain % of non-nadir may be handled, but they can cause artifacts.

If you are looking to create multispectral images of a 3D structure, you can use PIX4Dmapper and capture images with certain angle.

Best