Articles | Volume 16, issue 5
https://doi.org/10.5194/essd-16-2501-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-2501-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
29 May 2024
Data description paper |
| 29 May 2024
| 29 May 2024
MODIS daily cloud-gap-filled fractional snow cover dataset of the Asian Water Tower region (2000–2022)
Fangbo Pan
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Gongxue Wang
College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, China
Jinmei Pan
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Jinyu Huang
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Cheng Zhang
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Huizhen Cui
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Jianwei Yang
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Zhaojun Zheng
Satellite Meteorological Institute, National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China
Shengli Wu
Satellite Meteorological Institute, National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China
Jiancheng Shi
National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
Viewed
Total article views: 2,055 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Nov 2023)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,593 | 391 | 71 | 2,055 | 74 | 70 |
- HTML: 1,593
- PDF: 391
- XML: 71
- Total: 2,055
- BibTeX: 74
- EndNote: 70
Total article views: 1,371 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 29 May 2024)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,132 | 205 | 34 | 1,371 | 38 | 34 |
- HTML: 1,132
- PDF: 205
- XML: 34
- Total: 1,371
- BibTeX: 38
- EndNote: 34
Total article views: 684 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Nov 2023)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 461 | 186 | 37 | 684 | 36 | 36 |
- HTML: 461
- PDF: 186
- XML: 37
- Total: 684
- BibTeX: 36
- EndNote: 36
Viewed (geographical distribution)
Total article views: 2,055 (including HTML, PDF, and XML)
Thereof 2,009 with geography defined
and 46 with unknown origin.
Total article views: 1,371 (including HTML, PDF, and XML)
Thereof 1,328 with geography defined
and 43 with unknown origin.
Total article views: 684 (including HTML, PDF, and XML)
Thereof 681 with geography defined
and 3 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
10 citations as recorded by crossref.
- Accuracy assessment of cloud removal methods for Moderate-resolution Imaging Spectroradiometer (MODIS) snow data in the Tianshan Mountains, China Q. Wang et al. 10.1007/s40333-025-0098-3
- Investigating snow cover duration changes based on a cloud-free snow cover product developed using a spatiotemporal cloud removal method for Northeast China D. Yan & Y. Zhang 10.1080/17538947.2025.2497520
- The Impact of Autumn Snowfall on Vegetation Indices and Autumn Phenology Estimation Y. Tang et al. 10.3390/rs16244783
- U-SwinFusionNet: High Resolution Snow Cover Mapping on the Tibetan Plateau Based on FY-4A X. Kan et al. 10.3390/w17050706
- Mapping snow cover frequency at 30 m for studying seasonal variations and topographic controls on the Tibetan Plateau G. Wang et al. 10.1016/j.jhydrol.2025.133303
- Estimating AVHRR snow cover fraction by coupling physical constraints into a deep learning framework Q. Zhao et al. 10.1016/j.isprsjprs.2024.08.015
- Understanding Cryospheric Changes in Tropical Regions: Climate Change Impacts in the Rwenzori Mountains Using Satellite-Driven and Modeling Approaches V. Posite et al. 10.1007/s41748-025-00616-z
- Development of a Daily Cloud-Free Snow-Cover Dataset Using MODIS-Based Snow-Cover Probability for High Mountain Asia during 2000–2020 D. Yan et al. 10.3390/rs16162956
- Downscaling and Gap-Filling GRACE-Based Terrestrial Water Storage Anomalies in the Qinghai–Tibet Plateau Using Deep Learning and Multi-Source Data J. Chen et al. 10.3390/rs17081333
- Development of a cloud-free MODIS NDSI dataset (2001–2020) over Northeast China H. Guo et al. 10.1080/17538947.2024.2398062
9 citations as recorded by crossref.
- Accuracy assessment of cloud removal methods for Moderate-resolution Imaging Spectroradiometer (MODIS) snow data in the Tianshan Mountains, China Q. Wang et al. 10.1007/s40333-025-0098-3
- Investigating snow cover duration changes based on a cloud-free snow cover product developed using a spatiotemporal cloud removal method for Northeast China D. Yan & Y. Zhang 10.1080/17538947.2025.2497520
- The Impact of Autumn Snowfall on Vegetation Indices and Autumn Phenology Estimation Y. Tang et al. 10.3390/rs16244783
- U-SwinFusionNet: High Resolution Snow Cover Mapping on the Tibetan Plateau Based on FY-4A X. Kan et al. 10.3390/w17050706
- Mapping snow cover frequency at 30 m for studying seasonal variations and topographic controls on the Tibetan Plateau G. Wang et al. 10.1016/j.jhydrol.2025.133303
- Estimating AVHRR snow cover fraction by coupling physical constraints into a deep learning framework Q. Zhao et al. 10.1016/j.isprsjprs.2024.08.015
- Understanding Cryospheric Changes in Tropical Regions: Climate Change Impacts in the Rwenzori Mountains Using Satellite-Driven and Modeling Approaches V. Posite et al. 10.1007/s41748-025-00616-z
- Development of a Daily Cloud-Free Snow-Cover Dataset Using MODIS-Based Snow-Cover Probability for High Mountain Asia during 2000–2020 D. Yan et al. 10.3390/rs16162956
- Downscaling and Gap-Filling GRACE-Based Terrestrial Water Storage Anomalies in the Qinghai–Tibet Plateau Using Deep Learning and Multi-Source Data J. Chen et al. 10.3390/rs17081333
1 citations as recorded by crossref.
Latest update: 22 May 2025
Short summary
It is important to strengthen the continuous monitoring of snow cover as a key indicator of imbalance in the Asian Water Tower (AWT) region. We generate long-term daily gap-free fractional snow cover products over the AWT at 0.005° resolution from 2000 to 2022 based on the multiple-endmember spectral mixture analysis algorithm and the gap-filling algorithm. They can provide highly accurate, quantitative fractional snow cover information for subsequent studies on hydrology and climate.
It is important to strengthen the continuous monitoring of snow cover as a key indicator of...
Altmetrics
Final-revised paper
Preprint