Earth Observation Atmospheric Correction With Combination Of Active And Passive Optical Remote Sensing

With remote sensing theory and the construction of satellite platform innovation, quantitative remote sensing of Earth observation technology development imminent, atmospheric correction of satellite data becomes one of the bottlenecks of remote sensing data quantitative applications. This paper focuses on earth observation satellite optical images of atmospheric correction, which is committed to solving some problems related to atmospheric correction. It analyzes atmospheric effects on the impact of optical satellite images. Studying cloud detection and aerosol optical depth data fusion based on Terra, Aqua combined with active lidar satellite CALIPSO. With measured meteorological visibility and synchronous MODIS AOD data, analyzes the relationship between AOD and visibility, and develops the modified V-AOD conversion algorithm with the observation time and the visibility changing based on the Gaussian curve, improving accuracy of 6S model on process of AOD. Selecting the Bohai Bay, Cele oasis, and Cap mountain forest as research areas, carries out atmospheric correction test in the framework of atmosphere radiative transfer model. The result shows that the accuracy of modified 6S algorithm combined research results of this paper is higher than FLAASH algorithm in bare soil and vegetation.The main innovation of this paper and contributions, including:1. For the key issues of cirrus missed detection and thick aerosol mis-judgment of MODIS data, proposes and develops based on CALIOP space borne lidar assisted MODIS cloud detection algorithm, obtains higher accuracy than the current standard MODIS cloud detection product.2. Proposing and developing the AOD fusion algorithm based on active and passive sensors data, which improves the time and space coverage of MODIS AOD data, and moreover provides a more complete basic data for atmospheric correction.3. Developing the visibility and AOD (V-AOD model) modified conversion algorithm, obtains higher accuracy than conversion algorithms used in the most commonly radiative transfer models such as MODTRAN and 6S.4. Integration of the above three main theoretical and experimental results in this paper, atmospheric correction experiments based on Radiative Transfer Models 6S and FLAASH are carried out and achieves good results.