Calculate Forest stands by Forest Stands

Functional Overview

Calculate forest stands by forest stands for each point cloud data,can calculate many kinds of forest metrics.The metrics include Elevation Metrics, Intensity Metrics, Canopy Cover, Leaf Area Index, and Gap Fraction. For each point cloud data, a record will be generated and stored in a CSV file.

Usage

Click ALS Forest > Forest Metrics > Calculate Forest Metrics by Forest Stands to generate the selected forest metrics.

Calculate Forest Metrics by Grid

Parameters Settings

  • Input data: Ensure that each input point cloud data is normalized; the input file can be a single data file or a point cloud data set; the file(s) to be processed must be opened in the LiDAR360 software.
  • Height Break (meter) (default value is "2"): The threshold to divide the data in vertical direction. The point cloud above this height will be used to calculate the forest metrics. The default value is 2m.
  • Extinction Coefficient (default "0.5"): A mathematical expression of leaf probability distribution in three-dimensional space, which is related to vegetation type, leaf angle, and beam direction. According to the empirical formula, the user can determine the value of leaf angle distribution according to the actual situation of the forest. Studies have shown that the elliptic distribution of leaf angle, which has a leaf angle distribution value of 0.5, may be applicable to the actual situation.
  • Output Path: Output path. After running, each input point cloud data file will generate a corresponding CSV file or a set of TIFF files, which can be used as independent variables in regression analysis.
  • Default: Restore the height threshold and leaf inclination angle distribution to the default values.

Note: Only when the point cloud data is loaded in the software can you use the Elevation Metrics function; otherwise, the message "There is no point cloud data meeting the conditions of calculation!" will pop up. If the maximum Z value of the point cloud is greater than 200 or the maximum Z minus the minimum Z is greater than 200, the data is considered to be unnormalized, and the software will pop up the prompt message shown in the figure below, click "YES", this type of data Still participating in the calculation, click "NO", this type of data will not participate in the calculation, and the user can re-select the data that meets the conditions.

results matching ""

    No results matching ""