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首页> 外文会议>2010 IEEE International Geoscience and Remote Sensing Symposium >Sensitivity of the snowmelt runoff model to underestimates of remotely sensed snow covered area
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Sensitivity of the snowmelt runoff model to underestimates of remotely sensed snow covered area

机译：融雪径流模型对低估积雪覆盖面积的敏感性

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Three methods for estimating snow covered area (SCA) from Terra MODIS data were used to derive conventional depletion curves for input to the Snowmelt Runoff Model (SRM). We compared the MOD10 binary and fractional snow cover products and a method for estimating sub-pixel snow cover using spectral mixture analysis (SMA). All three methods underestimated SCA and this contributed to underestimates in runoff modeled by SRM. The closest relationship between measured and computed runoff was achieved when SRM was run with conventional depletion curves derived from the MODIS binary snow cover product (R2 = 0.91). Although the MODIS fractional snow cover product and SMA did not perform as well as the binary snow cover product (R2 = 0.70 and R2 = 0.72 respectively) we anticipate that either of these methods may be reworked to better account for forest cover in our study area and so improve SCA estimates.
机译：使用三种从Terra MODIS数据估算积雪面积（SCA）的方法来导出常规损耗曲线，以输入到融雪径流模型（SRM）中。我们比较了MOD10二元和分数积雪产品以及一种使用光谱混合分析（SMA）估算亚像素积雪的方法。所有这三种方法都低估了SCA，这导致SRM建模的径流被低估了。当使用常规的由MODIS二元积雪积算得出的枯竭曲线（R 2 = 0.91）运行SRM时，获得的实测径流量与计算径流量之间的关系最接近。尽管MODIS分数积雪积和SMA的性能不如二元积雪积（R 2 = 0.70和R 2 = 0.72），但我们预计这些方法中的一部分可能会被重新设计，以更好地说明我们研究区域的森林覆盖率，从而改善SCA估算。

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