The COVID-19 spread gradually throughout the country in the Spring Festival around 2020, leading to economic downturn and more severe employment situation in colleges. Multiple difficulties and challenges, such as the reduction of employment posts, the delay of graduation progress, the change of recruitment forms and the psychological anxiety of college students, lead to the huge employment pressure for college graduates. We can cultivate the comprehensive ability of students by means of informatization management, such as broadening employment channels, ensuring graduation on time, improving employment policies and rebuilding psychology of college students. In this way, the high quality of employment work in Colleges can be ensured. Scientific measures should be taken to deal with the impact of the epidemic on employment.
Using the image data from active RADARSAT SAR and passive DMSP SSM/I measurements of the ice in the Bohai Sea on January 23, 1999, this paper presents a correlated analysis for sea ice detection and classification. Numerical modeling of scattering and radiative transfer of a layer of sea ice for characteristic variations of the Bohai Sea shoreice is studied. The scattering index (SI), polarization index (PI), and the polarization ratio (PR) from passive observation of the brightness temperature (TB) are defined to detect the existence of sea ice. Further, using the co-horizontally polarized back-scattering coefficient (σ hh ) measured by the RADARSAT high resolution SAR, the sea ice in the Bohai Sea can be further classified. Temporal and spatial variations of these indices can be used to monitor the sea ice in the Bohai Sea.
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