中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Validation of Cloud-Gap-Filled Snow Cover of MODIS Daily Cloud-Free Snow Cover Products on the Qinghai-Tibetan Plateau

文献类型:期刊论文

作者Yuan, Yecheng1; Li, Baolin1,2; Gao, Xizhang1; Liu, Wei1,2; Li, Ying1,2; Li, Rui1,2
刊名REMOTE SENSING
出版日期2022-11-01
卷号14期号:22页码:18
关键词snow cover cloud-gap-filled accuracy assessment moderate resolution imaging spectroradiometer the Qinghai-Tibetan Plateau
DOI10.3390/rs14225642
通讯作者Li, Baolin(libl@lreis.ac.cn)
英文摘要Accurate daily snow cover extent is a significant input for hydrological applications in the Qinghai-Tibetan Plateau (QTP). Although several Moderate Resolution Imaging Spectroradiometer (MODIS) daily cloud-free snow cover products over the QTP are openly accessible, the cloud-gap-filled snow cover from these products has not yet been validated. This study assessed the accuracy of cloud-gap-filled snow cover from three open accessible MODIS daily products based on snow maps retrieved from Landsat TM images. The F1-score (FS) from daily cloud-free MODIS snow cover for the combined MOD10A1F and MYD10A1F (SC1) was 64.4%, which was 7.4% points and 5.3% points higher than the other two commonly used products (SC2 and SC3), respectively. The superior accuracies from SC1 were more evident in regions with altitudes lower than 5000 m, with a weighted average FS by the area percentage of the altitude regions of 58.3%, which was 6.9% points and 9.1% points higher than SC2 and SC3. The improved SC1 accuracies also indicated regional clustering characteristics with higher FS values compared to SC2 and SC3. The lower accuracies of cloud-gap-filled snow cover from SC2 and SC3 were mainly due to the limitation in determining snow cover based on the method of the inferred snow line and the overestimation of the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) snow water equivalent (SWE). These results indicate that the temporal filter approach used in SC1 is a good solution to produce daily cloud-gap-filled snow cover data for the QTP because of its higher accuracy and simple computation. The findings can be helpful for the selection of cloud-removal algorithms for determining snow cover dynamics and phenological parameters on the QTP.
WOS关键词STREAMFLOW FORECASTS ; ACCURACY ASSESSMENT ; RUNOFF SIMULATION ; SOIL-MOISTURE ; AMSR-E ; CLIMATE ; CLASSIFICATION ; ALTITUDE ; BASIN
资助项目National Key Research and Development Plan of China[2021YFD1300501] ; National Natural Science Foundation of China[41701475]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者MDPI
WOS记录号WOS:000887742900001
资助机构National Key Research and Development Plan of China ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/187365]  
专题中国科学院地理科学与资源研究所
通讯作者Li, Baolin
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Yuan, Yecheng,Li, Baolin,Gao, Xizhang,et al. Validation of Cloud-Gap-Filled Snow Cover of MODIS Daily Cloud-Free Snow Cover Products on the Qinghai-Tibetan Plateau[J]. REMOTE SENSING,2022,14(22):18.
APA Yuan, Yecheng,Li, Baolin,Gao, Xizhang,Liu, Wei,Li, Ying,&Li, Rui.(2022).Validation of Cloud-Gap-Filled Snow Cover of MODIS Daily Cloud-Free Snow Cover Products on the Qinghai-Tibetan Plateau.REMOTE SENSING,14(22),18.
MLA Yuan, Yecheng,et al."Validation of Cloud-Gap-Filled Snow Cover of MODIS Daily Cloud-Free Snow Cover Products on the Qinghai-Tibetan Plateau".REMOTE SENSING 14.22(2022):18.

入库方式: OAI收割

来源:地理科学与资源研究所

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