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Sorry but it was more of an A or B question. A) The cell is 5.2 meters square B) The cell is 5.2 meters by 5.2 meters = 27.04 meters square.
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03-25-2015
09:54 AM
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Thanks Jake, Quick question on how that relates to actual units and cell size. I will take the average point spacing of 1.3, and multiply that by 4, resulting in 5.2. That will then be put in to the field for Sampling Size. These units are in meters. Does that mean that a cell will be 5.2 meters square, or each side is 5.2 m long, thus resulting in a cell that is 27.04 meters square? Thanks again, Donald
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03-25-2015
06:38 AM
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I am attempting to create a DEM and DSM from a LAS Dataset. I know how to filter the appropriate returns for either the DEM or the DSM, but I am unsure what the sampling size should be (along with Sampling type: Cellsize). From the metadata I've been provided, the lidar (LAS) files have a horizontal resolution of 0.31m. However, the average point spacing is about 1.3 (for each LAS file, there are only two). Should my sampling size be 0.31 or 1.3? Any help is greatly appreciated. Thanks
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03-25-2015
04:31 AM
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I am looking to characterize the vegetation habitats of a very small island. I have aerial images of the island, as well as LiDAR data in the form of LAS and XYZ files. I am able to generate both a DSM and DEM from the las files, and by subtracting the DEM from the DSM, I get the resulting layer of vegetation height. I am wondering how to use the aerial images to quantitatively verify the findings, as well as use them to augment the classifications. For example, we are characterizing the island into 4 main habitats: forest, fern, grass, and barren. Each has lower vegetation. How should I use the aerial images to sample known areas of forest or fern to then obtain representative values for vegetation height for that particular habitat class. Any help is greatly appreciated. Thanks William
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03-19-2015
04:10 PM
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