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Building Footprint Extraction with Lidar Point Clouds (using lidar classified and unclassified for buildings)Using ArcGIS® Pro 2.0 At the Imagery and Mapping Forum, I will be one of the speakers and running the workshop for 3D Mapping with Lidar Point Clouds on Saturday and Sunday.     This workshop will provide a limited number of computers on a… (Show more)
Hello Lidar Experts!

I'm working on a Lidar project to determine where Joshua Trees are located within a specified study area. Due to the vegetation cover being so sparse, there are really only 2 canopy species there, which are Joshua Trees and cottonwoods. I believe this to be a relatively easy lidar analys due to very limited species richness in the canopy. My approach has been to create a bare earth raster (DEM) and then a 1st Return raster. I would then subtract the bare earth from the 1st Return raster to create a Vegetation raster. I would be able to easily remove any noise by using a basemap for verification. Because the client wants to see all Joshua Trees >=12ft, I would simply reclassify the Vegetation raster. By doing this, I should be able to see all tree species, which should be Joshua Trees, within my study area. With this methodology, I've only been able to create the highest bare earth point locations in the study area, which is not what I want and am confused as to why this is my output.  This is the methodology I've followed in ArcMAP:

Create Bare Earth Layer:

1. Create a las dataset of the selected study area with the Create LAS Dataset tool
2. Make a las dataset layer with this layer with the Make LAS Dataset Layer tool                                                                                                                                             a.   Select 2 (ground) from the Class Codes      
        b.   Convert this layer to raster with the LAS Dataset to Raster tool. 

Create Vegetation Layer:


1. Subtract the Bare Earth raster from the 1st Return Raster with the Minus tool                                                                                                                                     

       1st Return (raster) – Bare Earth (raster) = Vegetation Layer

2.  Use the Reclassify tool to determine what is 12 ft and greater with the newly created Vegetation Layer:

                 Classification: Natural Breaks (Jenks)                                       
                        Classes:  2                                       
                        Break values: 3.66, 10.725098

Does anybody have any experience with this and might be able to provide some tips/pointers in where I might be going wrong?  If people know of better methodologies, I am open to ideas! I really appreciate your assistance in advance!



Is it possible to add extra z-value to a point cloud (las or las-dataset) ? I need to add extra 0,507m to my already existing z-values. I'm changing from a local to an national height system but i don't know the parameters from the local one.     I have tried las2las but i don't know exactly what to do to accomplish what I want. regards, Anton
in Lidar and other point clouds
My aim is to classify the LiDAR data and control the classes in TOC as if we are controlling(on/of) the layers. So that I can easily Digitize without any interfernce object(Tress, Car, Motor Cycle etc.). I want to digitize in 3D Environment, Points like ManHole, Elec Poles etc, Lines like Road Centre Line, Road Edges and Polygon like Building… (Show more)
in Lidar and other point clouds