A Remote Sensing Inversion Method for Aerosol Optical Depth

Abstract

The invention discloses an aerosol optical thickness remote sensing inversion method, which solves the problem of low inversion precision of the method in the prior art. The aerosol optical thicknessremote sensing inversion method comprises the following steps: establishing a lookup table using a 6S radiation transfer model based on high-resolution satellite data, so as to obtain an equivalent reflectivity of an atmospheric path radiation item, a hemispherical reflectivity of the atmosphere lower interface, and an atmospheric transmittance; constructing a wide range camera surface reflectivity library at the moon scale using the optimal reflectivity technique based on a surface reflectance product of a medium resolution imaging spectrometer, so as to obtain the surface reflectance; calculating an apparent reflectance computation value using a radiation transfer equation; and performing numerical comparison on the apparent reflectance computation value and the actual value of the apparent reflectance calculated based on the high-resolution satellite data, so as to obtain the apparent reflectance computation value with the smallest absolute value of the difference between the two asthe optimal apparent reflectance computation value, and looking up the table to obtain the corresponding aerosol optical thickness according to the lookup table. The aerosol optical thickness remotesensing inversion method can realize a wide-range and accurate inversion of the terrestrial aerosol optical thickness.

Description

technical field [0001] The invention relates to the technical field of remote sensing, in particular to an aerosol optical depth remote sensing inversion method. Background technique [0002] The four wide-field cameras (WFV) carried by the domestic Gaofen-1 (GF-1) satellite can effectively monitor aerosols. Since GF-1WFV has a blue light band, it can use the strong atmospheric reflection and relatively high The weak surface reflection feature removes the contribution of the surface. This algorithm requires prior surface information, and then inverts the aerosol optical depth based on satellite signals. In the construction of surface information, the traditional method is to use the minimum reflectivity synthesis technology MRT (Minimum Reflectivity Technique). In the synthesis process, a certain number of images at different times are mainly considered, and the minimum value is found in the same position pixel as the target value. However, When using the surface reflectanc...

AI Technical Summary

Problems solved by technology

[0003] The invention provides an aerosol optical depth remote sensing inversion method, which solves the problem of low inversion accuracy of existing methods

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