A Remote Sensing Estimation Method of Black Carbon Concentration in Snow Cover

Abstract

The invention relates to a remote sensing estimation method for the black carbon concentration in accumulated snow. The method performs regional scale black carbon concentration estimation based on the combination of MODIS daily accumulated snow synthetic products (MOD10A1 and MYD10A1) with a 500 meter spatial resolution and actually-measured black carbon concentration data of ground stations. The method comprises the steps of performing image fusion, map projection conversion and data format conversion on the MODIS daily accumulated snow products to acquire research area accumulated snow albedo data; performing cloud-removing synthesizing processing on images, extracting the accumulated snow albedos of ground station positions, referring to corresponding documents, establishing a relation model of snow albedo and black carbon concentration, and performing inspection and repeated optimization on the relation model; processing the accumulated snow albedo images by using the relation model and acquiring the spatial and temporal distribution result of the black carbon concentration in accumulated snow by using research area vector boundary data interception. Compared with the conventional methods, the method employs the remote sensing technology and thus can obtain the spatial and temporal feature data of the black carbon concentration distribution in large-scale accumulated snow effectively.

Description

technical field [0001] The invention relates to a remote sensing estimation method for black carbon concentration in snow, and belongs to the technical field of atmospheric environment remote sensing application. Background technique [0002] Black carbon aerosol is a kind of black carbon particles suspended in the air, which is an important part of atmospheric fine particles and has a very important impact on the atmospheric environment and human health. Black carbon particles in snow can significantly reduce snow albedo, enhance the absorption of solar radiation, and accelerate snow melting, resulting in significant climatic effects and hydrological cycle effects. Therefore, to study the content of black carbon in ice and snow, and to obtain its temporal and spatial distribution characteristics, is conducive to enhancing the understanding of climate change and regional water cycle. [0003] At present, there have been many observational studies on the content of black car...

AI Technical Summary

Problems solved by technology

Although this method is highly accurate, it is labor-intensive and time-consuming, and it is difficult to quickly obtain and update the black carbon content in large-scale snow accumulation

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