Subpixel snow mapping of the Qinghai-Tibet Plateau using MODIS data

Subpixel snow mapping of the Qinghai-Tibet Plateau using MODIS data
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利用MODIS数据绘制青藏高原亚像素雪图

DOI:
10.1016/j.jag.2012.02.001
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发表时间:
2012-08
影响因子:
7.5
通讯作者:
Wang, Yuanhui
Wang, Yuanhui
中科院分区:
地球科学1区
文献类型:
--
作者:
Zhu, Ji;Shi, Jiancheng;Wang, Yuanhui

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针对青藏高原中分辨率成像光谱仪(MODIS)数据,提出了一种亚像素积雪自动制图算法。该算法包括两个部分:云去除和雪映射。提出了一种去除云层的方法,并通过实例验证了该方法能够很好地去除MODIS图像中的厚云和薄云。将多光谱端元混合分析应用于青藏高原亚像素积雪制图,引入归一化植被指数和归一化积雪指数等多指标自动选择端元。此外,将典型端元和相邻端元的组合使用引入到混合像元的解混中。最后,将该算法获得的青藏高原高精度积雪数据存储到时空数据库中。亚像素雪映射的结果进行了验证与先进的星载热发射和反射辐射计(ASTER)的数据记录在同一时间作为相应的MODIS数据。验证结果表明,MODIS结果与ASTER数据的相关系数大于0.9,均方根误差小于0.2。
In this work, an algorithm for automatic subpixel snow mapping was developed for Moderate Resolution Imaging Spectroradiometer (MODIS) data of the Qinghai–Tibet Plateau. The algorithm consists of two parts: cloud removal and snow mapping. An approach to remove cloud was presented and it was demonstrated to remove thick and thin clouds well from MODIS images. Multiple-endmember spectral mixture analysis was used in the subpixel snow mapping of the Qinghai–Tibet Plateau, and multiple indices (including the normalized difference vegetation index and normalized difference snow index) were introduced to automatically select the endmembers. Additionally, the combined use of typical and neighboring endmembers was introduced into the unmixing of mixed pixels. Finally, highly accurate snow-cover data of the Qinghai–Tibet Plateau obtained with this algorithm were stored in a spatio-temporal database. The results of the subpixel snow mapping were validated with Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data recorded at the same time as corresponding MODIS data. According to the validation results, the correlation coefficients of the MODIS results versus the ASTER data exceed 0.9, and the root-mean-square errors are less than 0.2.
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