Multi-source data fusion and environmental pollution source and pollutant distribution analysis method
A pollutant distribution and multi-source data technology, applied in the field of multi-source data fusion and analysis of environmental pollution sources and pollutant distribution, can solve problems affecting climate change, visibility reduction, etc., to achieve improved inversion accuracy, high time resolution, The effect of high spatial resolution
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Embodiment 1
[0054] Multi-source data fusion and environmental pollution sources and pollutant distribution analysis methods, which are mainly composed of data preprocessing, aerosol inversion, and PM2.5 inversion;
[0055] The data preprocessing performs a series of processing on the original remote sensing data, and outputs the data that meets the requirements of the model operation as the data basis of the inversion module. The data preprocessing performs preprocessing operations on the atmospheric remote sensing data used for remote sensing monitoring. The process includes geometric correction and radiation correction methods, high-precision image registration methods, multi-source satellite data fusion methods, cloud removal and shadow processing, and atmospheric correction links;
[0056] The aerosol inversion is based on GF satellite data combined with ground point monitoring data, selects an estimation method / model suitable for the environment, establishes an inversion model library...
Embodiment 2
[0059] The fine correction of remote sensing image is to eliminate the geometric deformation in the image and generate a new image that meets the requirements of a certain map projection or graphic expression. Radiation correction refers to the process of eliminating or correcting various noises added to the radiation energy output by the sensor during the imaging process of remote sensing images. Aiming at the characteristics of GF satellites, an executable technical solution for geometric fine correction and radiometric fine correction of remote sensing images is proposed.
[0060] polynomial geometry correction
[0061] Polynomial correction avoids the spatial geometric process of imaging and directly digitally simulates the image deformation itself. The geometric deformation of remote sensing images is caused by many factors, and its changing law is very complicated. For this reason, the overall deformation of remote sensing images is regarded as the result of the compre...
Embodiment 3
[0280] Aerosol Concentration Monitoring Products
[0281] Aerosols refer to various liquid or solid particles suspended in the atmosphere, usually referred to as smoke, fog, dust, etc. are all aerosols, aerosols not only affect global changes, but also the main factor affecting the quality of regional atmospheric environment. Many physicochemical processes that occur in the atmosphere have important effects. Remote sensing is a powerful tool for monitoring the distribution of aerosols from local to global levels.
[0282] In terms of remote sensing monitoring of aerosols, high-resolution satellite remote sensing makes up for the shortcomings of general ground observations that are difficult to reflect the specific distribution and variation trends of aerosols in space, and provides research data for the study of global and regional climate and the analysis of urban pollution. . The use of satellite remote sensing to monitor aerosols is a better alternative to ground-based re...
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