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作者投稿 专家审稿 编辑办公 编委办公 主编办公

冰川冻土 ›› 2022, Vol. 44 ›› Issue (6): 1740-1747.doi: 10.7522/j.issn.1000-0240.2022.0152

• 冰冻圈与全球变化 • 上一篇    


李诺1(), 韩其飞1, 马英2, 黄晓东2()   

  1. 1.南京信息工程大学 地理科学学院,江苏 南京 210041
    2.兰州大学 草地农业生态系统国家重点实验室 草地农业科技学院,甘肃 兰州 730000
  • 收稿日期:2022-06-24 修回日期:2022-07-24 出版日期:2022-12-25 发布日期:2023-01-18
  • 通讯作者: 黄晓东 E-mail:xiaoln98@163.com;huangxd@lzu.edu.cn
  • 作者简介:李诺,硕士研究生,主要从事冰冻圈遥感方向研究. E-mail: xiaoln98@163.com
  • 基金资助:

Accuracy verification of MODIS daily cloud-free snow cover products over the Tibetan Plateau

Nuo LI1(), Qifei HAN1, Ying MA2, Xiaodong HUANG2()   

  1. 1.School of Geographical Sciences,Nanjing University of Information Science and Technology,Nanjing 210044,China
    2.State Key Laboratory of Grassland Agro-ecosystems,College of Pastoral Agriculture Science and Technology,Lanzhou University,Lanzhou 730000,China
  • Received:2022-06-24 Revised:2022-07-24 Online:2022-12-25 Published:2023-01-18
  • Contact: Xiaodong HUANG E-mail:xiaoln98@163.com;huangxd@lzu.edu.cn


青藏高原地区的积雪具有重要的水文、生态和气候意义。MODIS(Moderate Resolution Imaging Spectroradiometer)积雪产品应用广泛,但受云的影响较为严重。国内外学者针对MODIS逐日积雪产品发展了多种去云产品,但这些产品在青藏高原的应用精度还未得到综合的评估。因此,本文利用分辨率较高的Landsat-8数据获取的积雪分类图作为参考真值,对目前发布的三套逐日无云积雪产品进行了系统的验证。评估结果表明,基于MODIS地表反射率数据生产的逐日无云积雪产品(MODIS CGF SCE),相比基于MODIS原始逐日积雪产品进行去云处理后获取的两套产品(M*D10A1GL06和MODIS_Dysno_Cloudfree),在积雪识别精度方面具有较大优势。MODIS CGF SCE产品针对不同土地覆盖类型进行NDSI(Normalized Difference Snow Index)阈值优化,虽然在积雪识别精度方面提升较为明显,然而林区积雪识别误差较大的问题依旧没有得到有效解决,存在较高的低估误差。

关键词: MODIS, 积雪产品, 精度评价, 青藏高原


Snow cover is of great hydrological, ecological, and climatic significance in the Tibetan Plateau. MODIS snow products are widely used at present but are seriously affected by clouds. Scholars at home and abroad have developed a variety of cloud removal products for raw MODIS daily snow products, but the accuracy of these products in the Tibetan Plateau has not been evaluated comprehensively. Therefore, this paper uses Landsat-8 data with high resolution as the reference value to conduct systematic verification of three datasets of cloud-free snow products released on a daily basis. The results show that compared with the two sets of products (M*D10A1GL06 and MODIS_Dysno_Cloudfree), which are produced based on raw MODIS daily snow cover product realized by NSIDC (National Snow and Ice Data Center), the MODIS CGF SCE product produced based on MODIS surface reflectance data, has a great advantage in snow identification accuracy. The MODIS CGF SCE product optimized the NDSI threshold for different land cover types. Although the accuracy of snow identification was significantly improved, the problem of large snow identification error in forest areas was still not effectively resolved, and there was a high underestimate error.

Key words: MODIS, snow cover product, accuracy verification, Tibetan Plateau


  • P407