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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Developing Daily Cloud-Free Snow Composite Products From MODIS Terra–Aqua and IMS for the Tibetan Plateau
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Developing Daily Cloud-Free Snow Composite Products From MODIS Terra–Aqua and IMS for the Tibetan Plateau

机译:利用MODIS Terra-Aqua和IMS为青藏高原开发每日无云积雪产品

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Daily snow cover mapping is difficult when Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover products are cloud obscured. The daily cloud-free snow cover product provides an essential parameter for hydrological modeling, climate system studies, and snow-caused disaster monitoring on the Tibetan Plateau (TP). In this paper, we present an algorithm, Terra–Aqua–IMS (TAI), which combines MODIS Terra and Aqua (500 m) and the Interactive Multisensor Snow and Ice Mapping System (IMS; 4 km) to produce a daily cloud-free snow cover product (500 m). The overall accuracy of the new TAI over the TP is 94% as compared with ground stations in all-sky conditions; this value is significantly higher than the 64% of the blended MODIS Terra–Aqua product and the 55% and 50% of the original MODIS Terra and Aqua products, respectively. Without the IMS, the daily combination of MODIS Terra–Aqua can only remove limited cloud contamination: 37.3% of the annual mean cloud coverage compared with 46.6% (MODIS Terra) and 55.1% (MODIS Aqua). The resulting annual mean snow cover over the TP from the daily TAI data is 19.1%, which is much larger than the 4.7%–8.1% from the daily original MODIS Terra/Aqua and the blended Terra–Aqua snow product due to cloud blockage.
机译:当中分辨率成像光谱仪(MODIS)的积雪被云遮挡时,每日积雪很难绘制。每日无云积雪产品为青藏高原(TP)的水文建模,气候系统研究和雪灾监测提供了重要参数。在本文中,我们提出了一种算法-Terra-Aqua-IMS(TAI),该算法将MODIS Terra和Aqua(500 m)与交互式多传感器冰雪测绘系统(IMS; 4 km)结合在一起,每天生成无云积雪产品(500 m)。与全天候情况下的地面站相比,通过TP进行的新TAI的总体准确性为94%;该值显着高于混合的MODIS Terra-Aqua产品的64%和原始MODIS Terra和Aqua产品的55%和50%。如果没有IMS,则每天使用MODIS Terra-Aqua只能去除有限的云层污染:年平均云层覆盖率为37.3%,而46.6%(MODIS Terra)和55.1%(MODIS Aqua)。根据每日TAI数据得出的TP上的年平均积雪量为19.1%,远大于由于云阻塞而导致的每日原始MODIS Terra / Aqua和Terra-Aqua混合积雪的4.7%–8.1%。

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