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MODIS snow cover mapping accuracy in a small mountain catchment - Comparison between open and forest sites

机译:MODIS积雪在小山区流域的制图精度-露天和森林地带的比较

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摘要

Numerous global and regional validation studies have examined MODIS snow mapping accuracy by using measurements at climate stations, which are mainly at open sites. MODIS accuracy in alpine and forested regions is, however, still not well understood. The main objective of this study is to evaluate MODIS (MOD10A1 and MYD10A1) snow cover products in a small experimental catchment by using extensive snow course measurements at open and forest sites. The MODIS accuracy is tested in the Jalovecky creek catchment (northern Slovakia) in the period 2000-2011. The results show that the combined Terra and Aqua images enable snow mapping at an overall accuracy of 91.5%. The accuracies at forested, open and mixed land uses at the Aervenec sites are 92.7%, 98.3% and 81.8%, respectively. The use of a 2-day temporal filter enables a significant reduction in the number of days with cloud coverage and an increase in overall snow mapping accuracy. In total, the 2-day temporal filter decreases the number of cloudy days from 61% to 26% and increases the snow mapping accuracy to 94%. The results indicate three possible factors leading to misclassification of snow as land: patchy snow cover, limited MODIS geolocation accuracy and mapping algorithm errors. Out of a total of 27 misclassification cases, patchy snow cover, geolocation issues and mapping errors occur in 12, 12 and 3 cases, respectively.
机译:许多全球和区域验证研究已经通过使用气候站(主要是在开放地点)进行的测量来检查MODIS雪图的准确性。然而,对于高山和森林地区的MODIS精度仍然知之甚少。这项研究的主要目的是通过在开阔和林地中使用大量的雪道测量值来评估小型实验集水区的MODIS(MOD10A1和MYD10A1)积雪产品。 MODIS精度在2000年至2011年期间在Jalovecky溪流域(斯洛伐克北部)进行了测试。结果表明,结合的Terra和Aqua图像可以进行雪图绘制,总体精度为91.5%。 Aervenec地点的森林,开阔土地和混合土地利用的准确性分别为92.7%,98.3%和81.8%。使用2天的时间过滤器可以显着减少云层覆盖的天数,并提高总体降雪测绘的准确性。总体而言,两天时间过滤器将阴天数从61%减少到26%,并将降雪测绘的准确性提高到94%。结果表明,导致雪分类错误的三个可能因素是:积雪斑块,有限的MODIS地理位置精度和制图算法错误。在总共27个分类错误的案例中,分别有12、12和3个案例发生了零星的积雪,地理定位问题和地图错误。

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