Plant multi-element monitoring method and system

Abstract

The invention discloses a plant multi-element monitoring method and system, and the method comprises the steps: setting a track matched with a monitoring region, installing the track at a position with a certain height from the ground through a support, and installing a monitoring device on the track; regularly triggering the monitoring device to run along the track and acquiring plant parameter information in the monitoring area; according to the plant parameter information, earth surface vegetation parameters are obtained through calculation, wherein the earth surface vegetation parameters comprise leaf area indexes. By means of the scheme, the requirements for spatial scale extension and frequency improvement observation of plant multi-element monitoring can be better met.

Description

technical field [0001] The invention relates to the field of vegetation monitoring, in particular to a plant multi-element monitoring method and system. Background technique [0002] In vegetation measurement and resource investigation, such as vegetation observation of underlying surfaces such as forests, grasslands, farmland, wetlands, and deserts, there are various elements that need to be monitored, such as: multiple vegetation indices, coverage, leaf area index, Plant growth, biomass, etc.; it can also be specific to which ecological type (system) or vegetation, for example, in forest monitoring, various parameters of trees need to be monitored, such as tree diameter at breast height, height, crown width, etc. [0003] For the measurement of parameters such as leaf area index, vegetation index, and coverage, there are mainly optical methods, manual methods, image methods, and laser radar methods in the prior art. [0004] The existing methods for measuring parameters s...

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Problems solved by technology

In the prior art, since the real height threshold cannot be obtained accurately, empirical values ​​are usually used, such as setting the height threshold to 1 meter, which will undoubtedly affect the accuracy of the calculation results

[0006] 2) Due to the limitation of the monitoring scope of the existing technology, the monitoring data is difficult to be representative, and due to the characteristics of the understory heterogeneity (that is, the inhomogeneity and complexity of the understory space and pattern distribution), the local Data cannot accurately estimate data such as plant parameters

[0007] 3) There are great limitations both in terms of spatial scope and observation frequency, and it is difficult to take into account the requirements of time (ie, the continuity of monitoring frequency) and space (ie, the representativeness of the monitoring area)

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