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Comparative evaluation of VIIRS daily snow cover product with MODIS for snow detection in China based on ground observations

机译:基于地面观测的中国viirs日常雪覆盖产品对雪探雪检测的比较评价

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摘要

Accurate spatiotemporal information of snow cover not only is important for investigating the mechanisms of climate change but also greatly contributes to hydrological modelling in mountainous regions. The Suomi-National Polar-orbiting Partnership (S-NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) (referred to as VNP) daily snow cover product is recently released and expected to take place of Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover products in near future. As an important addition to the widely used MODIS products, there is also an urgent need for a reliable accuracy evaluation and comparison of VNP for future large-scale daily snow cover mapping. This study for the first time evaluates the accuracy of VNP daily snow cover data in China using daily snow depth observations from 330 stations. The accuracy of VNP data is generally good with the averaged CK (Cohen's Kappa) and FS (F-Score) as high as 0.72 and 0.75, respectively, but considerably decreases to 0.50 and 0.52 for the Tibetan Plateau. VNP shows slightly better accuracy than MODIS TERRA for stations outside the Tibetan Plateau owing to its higher spatial resolution, but its accuracy is lower than TERRA for those within the Tibetan Plateau possibly due to its longer time interval between ground observation and satellite overpass time. By contrast, VNP shows much better accuracy than MODIS AQUA in China including both outside and within the Tibetan Plateau. This study provides important implications for optimal use of VNP and MODIS daily snow cover products in China, which may further contribute to more accurate snow variation information for climate analysis and cryospheric hydrological modelling.
机译:准确的雪覆盖的时空信息对于调查气候变化机制而言不仅重要,而且还有大大有助于在山区地区进行水文建模。苏米 - 国家极性轨道合作伙伴关系(S-NPP)可见红外成像辐射计套件(VIIR)(称为VNP)每日雪覆盖产品最近发布,预计将发生中等分辨率成像光谱辐射器(MODIS)雪盖产品在不久的将来。作为广泛使用的MODIS产品的一个重要补充,迫切需要可靠的准确性评估和VNP对未来大型日常雪覆盖映射的可靠性评估和比较。本研究首次使用330站的日间雪深度观测来评估中国在中国的VNP日常雪覆盖数据的准确性。 VNP数据的准确性通常良好,平均CK(COHEN的Kappa)和FS(F分)分别高达0.72和0.75,但对于藏高平台分别为0.50和0.52。由于其空间分辨率较高,VNP比藏高高原以外的车站略高于MODIS TERTA,但由于其在地面观察和卫星立即时间之间的时间间隔较长的时间间隔,其精度低于TIBETAN高原内的特点。相比之下,VNP在中国的Modis Aqua中显示出更好的准确性,包括在外面和西藏高原内。本研究为中国的VNP和MODIS每日雪覆盖产品提供了重要的影响,这可能进一步为气候分析和低温水文模拟的更准确的雪变化信息。

著录项

  • 来源
    《The Science of the Total Environment》 |2020年第jul1期|138156.1-138156.11|共11页
  • 作者单位

    College of Water Resources & Civil Engineering China Agricultural University Beijing China State Key Laboratory of Cryospheric Science Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences Lanzhou China;

    Key Laboratory of Tibetan Environment Changes and Land Surface Processes Institute of the Tibetan Plateau Research Chinese Academy of Sciences (CAS) Beijing China CAS Center for Excellence in the Tibetan Plateau Earth Sciences Beijing China University of Chinese Academy of Sciences Beijing China;

    CAS Center for Excellence in the Tibetan Plateau Earth Sciences Beijing China Key Laboratory of Remote Sensing of Gansu Province Heihe Remote Sensing Experimental Research Station Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences Lanzhou 730000 China;

    State Key Laboratory of Cryospheric Science Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences Lanzhou China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    VIIRS; MODIS; Daily snow cover; Tibetan Plateau; China;

    机译:VIIRS;modis;每日雪盖;西藏高原;中国;

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