Snow Cover Mapping for Complex Mountainous Forested Environments Based on a Multi-Index Technique
Snow Cover Mapping for Complex Mountainous Forested Environments Based on a Multi-Index Technique
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基于多索引技术的复杂山地森林环境积雪测绘
DOI：
10.1109/jstars.2018.2810094
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发表时间：
2018
影响因子：
5.5
通讯作者：
Li Hongyi
中科院分区：
文献类型：
--
作者：
Wang Xiaoyan;Wang Jian;Che Tao;Huang Xiaodong;Hao Xiaohua;Li Hongyi
季节性积雪是山区流域能量和水收支的重要组成部分。捕捉复杂环境中的积雪对于监测和了解气候变化对高山积雪的时间和空间影响至关重要。归一化差异积雪指数(NDSI)可以有效、准确地估计卫星图像中的积雪信息。然而，NDSI在估计森林茂密地区的积雪覆盖并将这些信息与基于融雪的径流联系起来方面的效用有限。在这项研究中，提出了一种基于多索引技术的新算法。该技术将归一化差异森林积雪指数、归一化差异森林积雪指数和归一化差异植被指数相结合，建立决策规则，提高了林区积雪制图的精度。基于多指标技术的新算法在北疆山区林区进行了测试，中国说。在冬季积雪图像和春季积雪图像中，NDSI低估的森林积雪大部分被多指数技术识别。林区积雪探测准确率达90%以上。此外，在一项使用森林地区没有降雪的夏季图像的实验中，没有检测到委托误差。基于多指标技术的积雪检测算法使用了一组简单的积雪决策规则，并且可以在没有表面特征先验知识的情况下自动运行。
Seasonal snow cover is a critical component of the energy and water budgets of mountainous watersheds. Capturing the snow cover in complex environments is crucial for monitoring and understanding the temporal and spatial effects of climate change on alpine snow cover. The normalized difference snow index (NDSI) can be used to effectively and accurately estimate snow cover information from satellite images. However, the NDSI has limited utility for estimating the snow cover in heavily forested areas and relating this information to snowmelt-based runoff. In this study, a new algorithm based on a multi-index technique is proposed. The technique combines the NDSI, the normalized difference forest snow index, and the normalized difference vegetation index, and decision rules are established to increase the accuracy of snow mapping in forested areas. The new algorithm based on a multi-index technique is tested in the mountainous forested areas of North Xinjiang, China. In a winter image with full snow and a spring image with patchy snow, most of the forest snow, which is underestimated by the NDSI, is recognized by the multi-index technique. The accuracy of snow detection in forested areas is more than 90%. Additionally, in an experiment using a summer image without snow in forested areas no commission errors were detected. The snow detection algorithm based on a multi-index technique uses a simple set of decision rules for snow and can be run automatically without a priori knowledge of the surface characteristics.