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 |
DOI | 10.3390/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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