标题: STAR NDSI collection: a cloud-free MODIS NDSI dataset (2001-2020) for China
作者: Jing, YH (Jing, Yinghong); Li, XH (Li, Xinghua); Shen, HF (Shen, Huanfeng)
来源出版物: EARTH SYSTEM SCIENCE DATA 卷: 14 期: 7 页: 3137-3156 DOI: 10.5194/essd-14-3137-2022 出版年: JUL 11 2022
摘要: Snow dynamics are crucial in ecosystems, affecting radiation balance, hydrological cycles, biodiversity, and human activities. Snow areas with notably diverse characteristics are extensively distributed in China, mainly including Northern Xinjiang (NX), Northeast China (NC), and the Qinghai-Tibet Plateau (QTP). Spatiotemporal continuous snow monitoring is indispensable for ecosystem maintenance. Nevertheless, the formidable challenge of cloud obscuration severely impedes data collection. In the past decades, abundant binary snow cover area (SCA) maps have been retrieved from moderate resolution imaging spectroradiometer (MODIS) datasets. However, the integrated normalized difference snow index (NDSI) maps containing additional details on snow cover extent are still extremely scarce. In this study, a recent 20-year stretch seamless Terra-Aqua MODIS NDSI collection in China is generated using a Spatio-Temporal Adaptive fusion method with erroR correction (STAR), which comprehensively considers spatial and temporal contextual information. Evaluation tests confirm that the cloud-free STAR NDSI collection is superior to the two baseline datasets. The omission error decreased by 10% in NX compared to the snow cover extent product, and the average correlation coefficient increased by 0.11 compared to the global cloud-gap-filled MODIS NDSI product. Consequently, this collection can serve as a basic dataset for hydrological and climatic modeling to explore various critical environmental issues in China. This collection is available from https://doi.org/10.5281/zenodo.5644386 (Jing et al., 2021).
地址: [Jing, Yinghong; Shen, Huanfeng] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.
[Li, Xinghua] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China.
[Shen, Huanfeng] Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Peoples R China.
通讯作者地址: Shen, HF (通讯作者),Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.
Li, XH (通讯作者),Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China.
Shen, HF (通讯作者),Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Peoples R China.
电子邮件地址: lixinghua5540@whu.edu.cn; shenhf@whu.edu.cn
影响因子:11.815
版权所有 © 武汉大学资源与环境科学学院
地址:湖北省武汉市珞喻路129号 邮编:430079
电话:027-68778381,68778284,68778296 传真:027-68778893 邮箱:sres@whu.edu.cn