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For the accurate derivation of biophysical parameters based on surface reflectance, atmospheric correction is a necessary step to remove scattering and absorption effects by multiple atmospheric components. However, the huge amount of data and complex algorithms pose great computing challenges for massive operational tasks. Towards the global atmospheric correction for Medium Resolution Spectral Imager...
With the spatial, spectral and temporal resolutions of remote sensing data increasing, the computing efficiency becomes one of bottlenecks for remote sensing image data processing, especially for that with time response requirements. In this paper, towards the aerosol optical depth retrieval application from moderate resolution imaging spectroradiometer data, taking the time-consuming interpolation...
Quantitative retrieval is a growing area in remote sensing due to the rapid development of remote instruments and retrieval algorithms. The aerosol optical depth (AOD) is a significant optical property of aerosol which is involved in further applications such as the atmospheric correction of remotely sensed surface features, monitoring of volcanic eruptions or forest fires, air quality, and even climate...
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