Remote sensing estimation method and system of crop gross primary productivity

Abstract

The invention discloses a remote sensing estimation method and system of crop gross primary productivity. The remote sensing estimation method of the crop gross primary productivity is mainly used for wheat and corns, compared with an existing method, through theoretical analysis and experimental measurement and application, multi-source remote sensing data are fully utilized, depending on a solar energy utilization efficiency model, the environmental elements of solar energy, thermal energy, water and nutrients on crop growth are fully considered, a maximum solar energy utilization efficiency coefficient is introduced, and a crop gross primary productivity remote sensing model based on the four environmental elements of solar energy, thermal energy, water and fertilizer is established. Compared with a traditional solar energy utilization efficiency model, the influence of multiple environmental elements on the crop gross primary productivity is comprehensively considered, the remote sensing data are applied to the largest extent, model estimation results are high in precision, and meanwhile the crop gross primary productivity aiming at one application demonstration area can be estimated by an estimation model system.

Description

technical field [0001] The invention relates to the technical field of crop physiology and biochemistry, and more specifically relates to a remote sensing estimation method and system for total primary productivity of crops. Background technique [0002] Gross Primary Production (GPP) is the total amount of organic assimilation produced by green plants through photosynthesis per unit time and unit area, which determines the initial material and energy entering the terrestrial ecosystem. Remote sensing technology can provide multi-source, multi-dimensional and multi-temporal information on the surface, and can provide a new method for estimating the total primary productivity of crops. [0003] The estimation methods of total primary productivity can be divided into three types: climate statistical model, physiological and ecological process model and light energy utilization rate model. Among them, the light energy utilization rate model is a relatively common method for es...

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Problems solved by technology

However, the traditional light energy utilization rate model needs to refer to non-remote sensing parameters such as solar radiation or atmospheric temperature. The acquisition of these parameters usually depends on surface weather stations, and the representativeness of the data space is small, which limits the practical application of the model to a certain extent. operability

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