I am thinking of working on building a 3D model with the characteristics of urban materials using remote sensing data. Could you please suggest any approach or possible image combination for that? As this model needs 2d images with elevation, the challenge still is how to get the vertical objects' material types (such as walls).
Regards.
Hello Jasim, I want to begin with the last part, vertical objects, that could be difficult and I am not sure, but some terrestrial lasser scaners are able to take pictures and after you can make a combination of the cloud of points (that represent an object in 3D) and the pictures. Another source for the representation of objects in 3D that you can use airborne Lidar data, if you have high resolution you will be able to represent in 3D the objects that you have in the surface. There are two approach, but I think you can try with the first one.
You cannot detect materials with LiDAR. Thus, the answer to your question depends on the accuracy you would like to achieve and the money you are prepared to spend. The most accurate approach would be to use LiDAR data for geometry and hyperspectral images for materials, while the cheeps approach would be to use stereo images.
Does the data have to be of a test-site? Or will you take stereo imagery from anywhere to test your theory. A few software suppliers such as Pix4D supply sample stereo imagery from UAVs, you can create 2.5D models of buildings and structures with those.
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