Vegetation total primary productivity estimation method based on satellite passive microwave remote sensing

Abstract

The invention relates to a vegetation gross primary productivity estimation method based on satellite passive microwave remote sensing. The method comprises the following steps: acquiring satellite microwave vegetation water content index data, vegetation type data, vegetation height data, potential vegetation light energy utilization rate lookup table data and meteorological data; performing data preprocessing; calculating a normalized satellite microwave vegetation water content index, and determining photosynthetically active radiation absorbed by the vegetation in combination with solar radiation data; determining environment and biological constraint factors , and determining the actual vegetation light energy utilization rate in combination with the potential vegetation light energy utilization rate; and calculating the total primary productivity GPP of the vegetation. According to the method, the daily vegetation gross primary productivity can be inverted only by using satellite passive microwave observation and meteorological data in combination with the light energy utilization rate model, and the method can be directly applied to clear sky and cloudy day conditions, thereby playing a role in promoting inversion of the vegetation gross primary productivity in clouded areas by using satellite microwaves.

Description

technical field [0001] The invention relates to the technical fields of atmospheric remote sensing and ecology, in particular to a method for estimating total primary productivity of vegetation based on satellite passive microwave remote sensing. Background technique [0002] The total primary productivity of terrestrial vegetation is a key link in the study of the carbon cycle of the vegetation-atmosphere system, and it is also an important factor for evaluating the carbon sink and carbon source of the ecosystem. Using traditional flux stations can obtain more accurate point-scale total vegetation productivity, but it is difficult to extend to the spatial scale, and cannot meet the practical application and research needs on the regional scale. [0003] The use of satellite vegetation remote sensing observations and light use efficiency models provides a powerful tool for obtaining the total primary productivity of vegetation on a regional scale. At present, the estimation...

AI Technical Summary

Problems solved by technology

However, the application of satellite microwave remote sensing in quantitatively estimating the total primary productivity of vegetation is still very limited. Therefore, it is necessary to develop an all-weather microwave-based method for total primary productivity of terrestrial vegetation.

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