A Method for Calculating the Angle and Distance of Sample Trees in Class I Inventory of Forest Resources

Abstract

The present invention discloses a method for measuring angles and distances of sample trees in continuous forest inventory by employing a datum point. The method comprises the following steps of: S01,selecting a point A as a datum point at will, measuring a coordinate azimuth NOA and a horizontal distance OA, and calculating a longitudinal coordinate EO and a horizontal ordinate EA; S02, measuring a coordinate azimuth QAM and a horizontal distance AM, and calculating a longitudinal coordinate PM and a horizontal ordinate AP; S03, calculating a longitudinal coordinate OF and a horizontal ordinate FM; S04, directly determining whether sample trees are located in a boundary or not according to horizontal and longitudinal coordinates, wherein west and north pressing boundary trees are out ofthe boundary, and east and south pressing boundary trees are in the boundary; and S05, employing an arctan function to solve a coordinate azimuth NOM and / or solve an OM value according to OM2=FM2+OF2.The method for measuring angles and distances of sample trees in the continuous forest inventory by employing a datum point searches and uses a datum point method according to a trigonometric function operation principle to accurately measure position parameters of the sample trees being apart from the southwest corner point so as to improve the precision while greatly reducing the investigationdifficulty.

Description

technical field [0001] The invention belongs to the technical field of measuring and calculating position parameters of sample trees, and in particular relates to a method for measuring and calculating the angle and distance of sample trees in a first-class inventory of forest resources. Background technique [0002] The first-class inventory of forest resources is a forest resource investigation method that uses fixed sample plots for regular review for the purpose of grasping the current situation and dynamics of macroscopic forest resources. One mu of sample plots represents 16 square kilometers on the ground, requiring extremely high precision. In reality, some sample trees are blocked by immovable obstacles such as buildings, and when the four corners of the sample plot cannot be seen through, it is impossible to determine the exact position of the sample trees. Estimating the position of the sample wood caused great difficulties to the investigation work, and the accur...

AI Technical Summary

Problems solved by technology

In reality, some sample trees are blocked by immovable obstacles such as buildings, and when the four corners of the sample plot cannot be seen, it is impossible to determine the exact position of the sample trees. Estimating the position of the sample wood caused great difficulties to the investigation work, and the accuracy was greatly reduced

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