Remote sensing monitoring method of light use efficiency and gross primary production of phyllostachys pubescens forest ecological system

Abstract

The invention discloses a remote sensing monitoring method of the light use efficiency and the gross primary production of a phyllostachys pubescens forest ecological system. The method comprises the following steps of: firstly, obtaining the gross primary production through a carbon flux tower observation technology, and calculating the light use efficiency by dividing the gross primary production by photosynthetically active radiation; secondly, by utilizing the relationship among the light use efficiency of the phyllostachys pubescens forest, the reflectance of a remote sensing image and the vegetation index, on the basis of eliminating an abnormal value of the remote sensing image, in combination with a partial least square method and a bootstrap method, screening an optimal variable combination, establishing a light use efficiency inversion model, and obtaining the light use efficiency of the phyllostachys pubescens forest by inversion; and finally, calculating the light use efficiency of the phyllostachys pubescens forest by utilizing a light use efficiency inversion model, multiplying the calculated light use efficiency by the photosynthetically active radiation, obtaining the gross primary production of the phyllostachys pubescens forest, and realizing dynamic monitoring of the light use efficiency and the gross primary production of the phyllostachys pubescens forest ecological system based on a remote sensing technology. By means of the method, the remote sensing monitoring precision of the gross primary production of the phyllostachys pubescens forest can be increased.

Description

[0001] 【Technical field】 [0002] The invention belongs to the field of forest carbon sink monitoring methods, in particular to a remote sensing monitoring method for light energy utilization rate and total primary productivity of moso bamboo forest ecosystem. The present invention uses the correlation between remote sensing data and light energy utilization rate to establish a method for estimating total primary productivity from light energy utilization rate, which mainly solves the uncertainty of total primary productivity monitoring due to the difficulty in obtaining the maximum light energy utilization rate big problem. [0003] 【Background technique】 [0004] Moso bamboo is the main bamboo species in China. Its area accounts for about 70% of China's bamboo forest area and 80% of the world's total moso bamboo forest area. It is the main source of economic income for forest farmers in bamboo producing areas. Many studies have shown that moso bamboo forests have huge carbon...

AI Technical Summary

Problems solved by technology

For different vegetation types or even the same vegetation type, the LUE varies significantly in time and space with seasonal changes. Setting the maximum LUE as a constant in the application of the model will inevitably fail to reflect the temporal and spatial changes of moso bamboo forest carbon uptake well, which will cause the model There is a large deviation between the simulated value and the measured value

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