Under-forest illumination intensity estimation method based on remote sensing

Abstract

The invention discloses an under-forest illumination intensity estimation method based on remote sensing, and the method comprises the following steps: 1, determining a to-be-detected region and illumination-related parameters, wherein the illumination-related parameters comprise the total time ht of the possible solar radiation in one day and the position parameters of the sun; 2, calculating the total solar radiation above a canopy, wherein the total solar radiation above the canopy in a to-be-detected region comprises the solar direct solar radiation in the direction of a local incidence angle, the scattered radiation and the reflected radiation of the ground surface, i.e., Gi=Bi+Di+Ri; 3, carrying out the inversion of a leaf area index through a remote sensing image, and calculating and obtaining the under-forest illumination intensity based on the Beer-Lambert law according to the total solar radiation above the canopy. The method provided by the invention is easy to implement, is low in cost, and is high in accuracy.

Description

technical field [0001] The invention relates to a method for estimating the light intensity under a forest based on remote sensing. Background technique [0002] Understory light intensity plays an important role in the heterogeneity of understory environment and the physiological and ecological processes of animals and plants. It has received increasing attention, but it is still in its infancy. Due to the diurnal and seasonal variations of the sun's altitude and azimuth, complex atmospheric conditions, and local ground conditions, the understory illumination not only has diurnal and seasonal variations, but also exhibits complex three-dimensional spatial heterogeneity. Therefore, it is very difficult to measure the light intensity under the forest. Traditional direct measurement methods (such as illuminance meters) can only monitor the changes in light intensity of a limited number of measurement points in the forest within the monitoring time. Although the indirect meas...

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Problems solved by technology

The above two types of methods have problems such as heavy workload, tedious process, strong destructiveness, time-consuming and labor-intensive to varying degrees.

With the advantages of long-term, continuous, stable and efficient observation, remote sensing technology has been widely used in ecological environment monitoring research, but so far, there is no general and repeatable method for measuring the light intensity of forest areas; There are very few measurement studies

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