Blade active and inactive chlorophyll fluorescence long-time-series cooperative observation system

Abstract

The invention discloses a blade active and inactive chlorophyll fluorescence long-time-series cooperative observation system. The system consists of a synchronous observation frame, a spectrum collecting device, an active fluorescence collecting device, a photosynthetically active radiation collecting device and a host machine, wherein the spectrum collecting device, the active fluorescence collecting device and the photosynthetically active radiation collecting device are installed on the synchronous observation frame; the spectrum collecting device, the active fluorescence collecting device, the photosynthetically active radiation collecting device and the synchronous observation frame are connected with the host machine by data lines, and through the host machine, spectra, fluorescence kinetic parameters and photosynthetically active radiation data are collected and a motor on the synchronous observation frame is controlled. The blade active and inactive chlorophyll fluorescence long-time-series cooperative observation system is scientific in concept, simple in structure, convenient to carry and high in stability, effectively guarantees the consistency of measurement objects and a measurement environment during active and inactive fluorescence measurement, and can develop cooperative observation of long time series.

Description

technical field [0001] The invention relates to a long-time sequence cooperative observation system of active and passive chlorophyll fluorescence of leaves, which is an integrated system for studying the relationship between vegetation spectrum and vegetation physiology in geography, and can perform passive sunlight-induced chlorophyll fluorescence (Solar-induced chlorophyll fluorescence, SIF) on leaves ) and active fluorescence dynamic parameters long-term coordinated observation, used to establish the relationship between passive fluorescence and active fluorescence dynamic parameters and vegetation physiology, belongs to the technical field of physical geographic systems. Background technique [0002] Photosynthesis is the most critical physiological process of vegetation. It not only affects the cycle of carbon, water and other substances, but also can quickly and directly reflect the growth state and stress state of plants. Traditional remote sensing methods retrieve v...

AI Technical Summary

Problems solved by technology

Traditional remote sensing methods retrieve vegetation biophysical and biochemical parameters, such as leaf area index, chlorophyll content, etc., through electromagnetic wave information reflected, radiated, and scattered by vegetation. However, there is still a lack of effective detection of vegetation photosynthesis information and stress conditions. remote sensing means

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