A method for detecting subcompartment forestry resources

Abstract

The invention discloses a method for detecting subcompartment forestry resources, comprising the following steps: step 1, checking the extraction of subcompartment; 2, collecting and processing forestry data; 3, proces that remote sensing image; 4, detect that change of the remote sensing image in the early and late period; 5, image visual interpretation; 6, supplemental investigation; 7, update that data model; 8, forestry resource information management; 9, update that output; In the first step, random sampling or typical sampling method can be used to check the extraction of subcompartments; When adopting typical sample selection, the appraised objects should be classified according to forest species, woodland type, tree species type and age group. The invention is highly effective andfeasible, and takes 3S technology and mathematical model as main means, and a forestry resource renewal method based on investigation subcompartment data, and puts forward a complete solution of annual output number of forestry resource space and attribute data, and the data detection result is objective and accurate.

Description

technical field [0001] The invention relates to the technical field of forestry resources, in particular to a method for detecting small-scale forestry resources. Background technique [0002] There are three types of forest resource surveys in my country, among which forest resource planning and design surveys are referred to as the second-class surveys. The second-class surveys are the basis for the dynamic monitoring of forest resources by local governments. The purpose is to find out the types, quantities, and The quality and distribution status of forests and woodlands shall be implemented in specific mountain plots (small classes) to meet the needs of forest management programs, overall design and planning; the results of the second type of investigation are to update forest resource files Cutting quotas are the basis for forestry engineering planning and design and forest resource management, and are one of the most important bases for scientific management of forestry ...

AI Technical Summary

Problems solved by technology

[0003] The method for detecting small-scale forestry resources in the prior art is mainly to take one-third of the continuous sample land for field review and statistical analysis every year, and estimate the forestry resource data of the year. This method can only be implemented at present. At the provincial level, it cannot be implemented in districts, counties, and forest farms. It is of little significance to guide the annual forestry plans and management activities of grassroots management units. Moreover, based on the survey data of small groups, 3S technology and mathematical model methods are applied to the production practice level. The annual update of forestry resources data in larger areas is still relatively rare, so it is necessary to design a method for detecting small-scale forestry resources

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