Continuous monitoring method and system for forest stock and execution method of continuous monitoring method and system

Abstract

The invention relates to a continuous monitoring method and system for forest stock and an execution method of the continuous monitoring method and system. The method comprises the following steps: 1, sampling design of a sample plot; 2, arranging an intelligent sample plot; 3, automatically collecting sample plot data; 4, accumulation dynamic updating: performing remote sensing change detection on the land type change sub-compartment, and updating the graph and attribute information of the forest resource change pattern spots at the same time; after a dynamic forest stand updating model is established for the small class with no land type change through the intelligent sample plot data, attribute information of the forest small class is updated; 5, checking and correcting precision; 6, monitoring and outputting: outputting the accumulated monitoring data in the current period; and 7, judging whether the monitoring period arrives. By implementing the method, the investigation and monitoring period is short, the monitoring result is accurate and comparable, the cost is greatly reduced, the workload and risk of working organization, quality inspection and production safety are reduced, the method is particularly suitable for investigation and monitoring of forest resource accumulation with counties and forest farms as operating units, and the comprehensive benefit is remarkable.

Description

technical field [0001] The invention belongs to the technical field of Internet of Things data collection, calculation and processing, and in particular relates to a continuous monitoring method, system and execution method of forest stock. Background technique [0002] Forest stock volume is the main monitoring indicator of forestry survey. The forest resources planning and design survey (referred to as the second type survey) and the special survey of forest resources, which combine actual measurement with visual observation, sampling control and small-group survey, and special surveys on forest resources are the main methods for obtaining forest stock volume in the county area. Methods, new technologies and new methods for forest stock monitoring mainly focus on growth model update, remote sensing quantitative inversion, LiDAR tree measurement and other fields, which are used to solve the problem of long-term forest stock survey in the second-class survey, low accuracy, an...

AI Technical Summary

Problems solved by technology

The cost of LiDAR tree measurement is high, and the post-processing method of point cloud data is complicated, so it is difficult to promote and use it on a large scale

[0004] At present, there is an urgent need for a monitoring method and system with short survey and monitoring period, accurate

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