Patent ID: 11869023
Assignee: SICHUAN PROVINCIAL INSTITUTE OF FORESTRY AND GRASSLAND INVENTORY AND PLANNING
Field: Measurement (Instruments)
Classification: CPC G | IPC G

Claim 1:
2. The continuous monitoring method for forest stock according to claim 1, characterized in that the method further comprises a step between step (4.17) and step (6):
(5) precision test and correction;
in step (5), the forest stock variation is superposed on a monitoring base, precision of the monitoring results is tested, and the data that do not meet precision requirements are corrected after reasons are found, so that both the intelligent sample plot data and the forest resource subclass data meet the precision requirements;
specific steps of step (5) are as follows:
(5.1) determining whether to combine with first class survey, and if so, computing total stock of monitored regions based on intelligent sample plots as current period forest stock, otherwise, performing step (5.2);
(5.2) determining whether quota sampling is necessary, and if so, performing step (5.5);
otherwise, comparing a total stock value of monitored subclasses with a surveyed stock value of the sampling population, where the total stock value of the monitored subclasses is a total value of monitored base period forest stock and the forest stock variation, and the surveyed stock value of the sampling population is the total stock of the monitored regions based on intelligent sample plot computation in the current period;
(5.3) determining whether the difference between the total stock value of the monitored subclasses and the surveyed stock value of the sampling population is within ±1 times a standard error, and if so, skipping correction and determining that the current period forest stock is the total stock value of the monitored subclasses; otherwise, performing step (5.4);
(5.4) correcting the subclasses with large deviations from forest resource subclass stock, so that the difference between the total stock value of the monitored subclasses and the surveyed stock value of the sampling population is within the standard error, and the current period forest stock is the total stock value of the corrected monitored subclasses;
(5.5) computing and comparing stock per hectare of the monitored subclasses in each quota and sampling survey stock per hectare, determining whether the difference between the two exceeds a specified threshold, and if so, skipping correction and determining that the current period forest stock is the total stock value of the monitored subclasses in each quota; otherwise, performing step (5.6);
(5.6) correcting the subclasses with large deviations from forest resource subclass stock, so that the difference between the stock per hectare of the monitored subclasses in each quota and the sampling survey stock per hectare is within a specified threshold, and the current period forest stock is the total stock value of the corrected monitored subclasses in each quota;
(5.7) ending the process.