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Focused on the differences and accuracy of passive microwave sea ice concentration products (PM-SIC) released by domestic and foreign institutions, the sea ice concentration retrieved by MODIS and Sentinel-1 is analyzed. The products of University of Bremen (UB-AMSR2/ASI), National Snow and Ice Data Centre (NSIDC-SSMIS/NT, NSIDC-SSMIS/CDR, NSIDC-AMSR2/NT2), European Organization for the Exploitation of Meteorological Satellites (OSI-SAF/BR-BST), National Satellite Ocean Application Service (NSOAS-SMR/NT) and the National Satellite Meteorological Center (NSMC-MWRI/NT2) were conducted. The results show that: (1) The sea ice concentration of NSIDC-SSMIS/NT and NSIDC-SSMIS/CDR has a high consistency (mean deviation of − 0.08%, correlation coefficient of 0.99), and the difference between NSOAS-SMR/NT and NSIDC-AMSR2/NT2 is the largest (mean deviation of −14.41%, correlation coefficient of 0.99); (2) The variation trends of the seven PM-SIC are consistent, and the deviations of NSOAS-SMR/NT and NSMC-MWRI/NT2 show obvious seasonal differences with other PM-SIC; (3) The absolute deviation between NSOAS-SMR/NT, NSMC-MWRI/NT2 and other PM-SIC sectors is large in the Indian Ocean sector, Bellingshausen Sea and Amundsen Sea sector, and the difference is the smallest in the Ross Sea sector. The area with large deviation is mainly distributed in the sea ice margin area and near the land sea, and the difference is small in the high sea ice concentration area; (4) Seven PM-SIC are validated by the MODIS and Sentinel-1 retrieved sea ice concentration, and the consistency between NSMC-MWRI/NT2 and validation data is the highest. sea ice concentration of NSOAS-SMR/NT, UB-AMSR2/ASI and OSI-SAF/BR-BST was low, while the sea ice concentration of NSMC-MWRI/NT2, NSIDC-AMSR2/NT2, NSIDC-SSMIS/CDR and NSIDC-SSMIS/NT is high. The comparison and evaluation of different sea ice intensity products can provide the basis and reference for the development of remote sensing inversion algorithm, the development and application of high-quality sea ice intensity products, and the better monitoring of Antarctic sea ice changes.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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