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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Accuracy assessment of SAR data-based snow-covered area estimation method
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Accuracy assessment of SAR data-based snow-covered area estimation method

机译：基于SAR数据的积雪面积估计方法的准确性评估

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摘要

Employment of satellite radar-based remote sensing data for snow monitoring during the snow melt season has been widely studied by several investigators. Several methods for the estimation of snow-covered area (SCA) fraction have been developed for different types of regions. One common deficiency with the SCA estimation methods has been the lack of statistical accuracy analyses for them. In order to incorporate SCA estimates for operational use, one vital requisite is a thorough statistical analysis of the SCA estimation accuracy. This shortcoming has been addressed for boreal forest region, as an extensive statistical accuracy analysis has been carried out for the Helsinki University of Technology (TKK)-developed SCA method. The TKK SCA method was developed for boreal forest regions, and it is studied here with 24 European Remote Sensing 2 synthetic aperture radar intensity images, on a boreal-forest-dominated test area located in northern Finland. The performance of the SCA method is investigated by using reference data acquired through hydrological modeling. The accuracy analysis is carried out for several statistical variables, and the statistical interpretation is done with respect to several affecting parameters. The accuracy analysis shows a high correlation coefficient between the SCA estimates and the reference data and root mean square error values of 0.213 for open areas and 0.179 for forested areas. In addition, the TKK method employs two reference images for the SCA estimation, and the usability of multiyear reference image utilization was analyzed and proven feasible in this study.
机译：几名调查人员广泛研究了在融雪季节使用基于卫星雷达的遥感数据进行雪监测。针对不同类型的区域，已经开发了几种估计冰雪覆盖面积（SCA）分数的方法。 SCA估计方法的一个普遍缺陷是缺乏统计准确性分析。为了将SCA估计值用于操作用途，一项至关重要的要求是对SCA估计精度进行彻底的统计分析。由于对赫尔辛基工业大学（TKK）开发的SCA方法进行了广泛的统计准确性分析，因此已经解决了北方森林地区的这一缺陷。 TKK SCA方法是为北方森林地区开发的，在芬兰北部以北方森林为主的测试区域上，通过24幅欧洲遥感2张合成孔径雷达强度图像对其进行了研究。通过使用通过水文模型获得的参考数据来研究SCA方法的性能。对几个统计变量进行准确性分析，并对几个影响参数进行统计解释。准确性分析显示，SCA估计值与参考数据之间的相关系数较高，空旷地区的均方根误差值为0.213，林木地区的均方根误差值为0.179。此外，TKK方法使用两个参考图像进行SCA估计，并分析了多年参考图像利用的可用性，并证明在本研究中是可行的。

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