Accumulated snow coverage measuring and calculating method based on satellite-borne multispectral remote sensing data
A technology of snow cover and remote sensing data, applied in the field of satellite remote sensing image processing and application, can solve the problems affecting the accuracy of snow cover monitoring under forest, and achieve the effect of improving the monitoring results of under forest snow cover and reducing cloud layer interference.
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[0042] As shown in Table 1., the multispectral FY-3B data with a spatial resolution of 1 km in January 2016 was used as the experimental data, and the Northeast region was divided into forest areas and non-forest areas according to land types. For non-forest areas, use Landsat8OLI data combined with SNOWMAP algorithm to obtain "true" surface snow information, and use FY-3B data to calculate snow index; then, establish the relationship between snow index and snow coverage through linear regression; finally, The snow cover index regression equation with high precision is selected to obtain the snow cover product under cloudless conditions. For forest areas, the SCAMOD model is used to calculate the forest transmittance, and the understory snow coverage is expressed as a function of FY-3B visible light reflectance and forest transmittance to generate a more accurate understory snow coverage product, and combined with GF-2 The data were verified for snow cover.
[0043] Table 1. ...
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