Articles | Volume 26, issue 8
https://doi.org/10.5194/hess-26-1937-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-1937-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Apr 2022
Research article |
| 19 Apr 2022
| 19 Apr 2022
Development and validation of a new MODIS snow-cover-extent product over China
Xiaohua Hao
Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Zhaojun Zheng
National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China
Key Laboratory of Radiometric Calibration and Validation for Environmental satellites, China Meteorological Administration, Beijing 100081, China
Xingliang Sun
Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Engineering Laboratory for National Geographic State Monitoring, Lanzhou Jiaotong University, Lanzhou 730070, China
Wenzheng Ji
Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Hongyu Zhao
Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Jian Wang
Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Hongyi Li
Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Xiaoyan Wang
College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
Viewed
Total article views: 6,250 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Nov 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,481 | 1,622 | 147 | 6,250 | 135 | 198 |
- HTML: 4,481
- PDF: 1,622
- XML: 147
- Total: 6,250
- BibTeX: 135
- EndNote: 198
Total article views: 4,933 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Apr 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,630 | 1,191 | 112 | 4,933 | 122 | 182 |
- HTML: 3,630
- PDF: 1,191
- XML: 112
- Total: 4,933
- BibTeX: 122
- EndNote: 182
Total article views: 1,317 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Nov 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 851 | 431 | 35 | 1,317 | 13 | 16 |
- HTML: 851
- PDF: 431
- XML: 35
- Total: 1,317
- BibTeX: 13
- EndNote: 16
Viewed (geographical distribution)
Total article views: 6,250 (including HTML, PDF, and XML)
Thereof 6,024 with geography defined
and 226 with unknown origin.
Total article views: 4,933 (including HTML, PDF, and XML)
Thereof 4,760 with geography defined
and 173 with unknown origin.
Total article views: 1,317 (including HTML, PDF, and XML)
Thereof 1,264 with geography defined
and 53 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
64 citations as recorded by crossref.
- A dataset of MODIS gap-filled fractional snow cover in the source area of Yellow River during 2000–2021 Y. YANG et al. https://doi.org/10.11922/11-6035.ncdc.2022.0005.zh
- Atmospheric Correction Effects on the NDSI: Snow Detection Characteristics across Land Cover Types D. Jin et al. https://doi.org/10.7780/kjrs.2024.40.5.1.12
- MAT-MS: A mask-aware transformer for constructing gap-free MODIS normalized difference snow index products J. Xu et al. https://doi.org/10.1016/j.isprsjprs.2025.07.004
- A new snow cover mapping algorithm for Chinese geostationary meteorological satellite FY-4A AGRI data L. He et al. https://doi.org/10.1080/17538947.2024.2367086
- Optimizing Cloud Mask Accuracy over Snow-Covered Terrain with a Multistage Decision Tree Framework Q. Zhao et al. https://doi.org/10.3390/rs17243992
- Performance of the WRF Model at the Convection‐Permitting Scale in Simulating Snowfall and Lake‐Effect Snow Over the Tibetan Plateau Q. Lin et al. https://doi.org/10.1029/2022JD038433
- Estimating Early Summer Snow Depth on Sea Ice Using a Radiative Transfer Model and Optical Satellite Data M. Wang & N. Oppelt https://doi.org/10.3390/rs15205016
- Development of a cloud-free MODIS NDSI dataset (2001–2020) over Northeast China H. Guo et al. https://doi.org/10.1080/17538947.2024.2398062
- Reducing hydrological uncertainty in large mountainous basins: the role of isotope, snow cover, and glacier dynamics in capturing streamflow seasonality D. Avesani et al. https://doi.org/10.5194/hess-29-5755-2025
- Investigating climatic drivers of snow phenology by considering key-substage heterogeneity X. Ma et al. https://doi.org/10.1016/j.jhydrol.2024.132215
- Spatiotemporal variation of snow cover days and influencing factors on the Loess Plateau during 2000–2019 S. Li et al. https://doi.org/10.1016/j.jhydrol.2023.130419
- Evaluating MODIS snow products using an extensive wildlife camera network C. Breen et al. https://doi.org/10.1016/j.rse.2023.113648
- Multi-year mapping of flood autumn irrigation extent and timing in harvested croplands of arid irrigation district X. Qian et al. https://doi.org/10.1080/15481603.2022.2126342
- Autumn snow expansion and spring divergence in Northeast China (2000–2020) Y. Xiao et al. https://doi.org/10.1016/j.accre.2025.11.004
- Detection of Wet Snow by Weakly Supervised Deep Learning Change Detection Algorithm with Sentinel-1 Data H. Gong et al. https://doi.org/10.3390/rs16193575
- Validation of Cloud-Gap-Filled Snow Cover of MODIS Daily Cloud-Free Snow Cover Products on the Qinghai–Tibetan Plateau Y. Yuan et al. https://doi.org/10.3390/rs14225642
- Estimating AVHRR snow cover fraction by coupling physical constraints into a deep learning framework Q. Zhao et al. https://doi.org/10.1016/j.isprsjprs.2024.08.015
- What Is the Threshold Elevation at Which Climatic Factors Determine Snow Cover Variability? A Case Study of the Keriya River Basin W. Yan et al. https://doi.org/10.3390/rs15194725
- WRF-Chem simulations of snow nitrate and other physicochemical properties in northern China X. Wang et al. https://doi.org/10.5194/gmd-18-651-2025
- Assessment of snow simulation using Noah-MP land surface model forced by various precipitation sources in the Central Tianshan Mountains, Central Asia T. Yang et al. https://doi.org/10.1016/j.atmosres.2024.107251
- 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. https://doi.org/10.3390/rs16162956
- Monitoring Mangrove Phenology Based on Gap Filling and Spatiotemporal Fusion: An Optimized Mangrove Phenology Extraction Approach (OMPEA) Y. Hong et al. https://doi.org/10.3390/rs17030549
- A long-term daily 500 m snow cover extent product over China (1981–2000) Y. Shen et al. https://doi.org/10.1080/20964471.2026.2648197
- PHYSICALLY BASED EVALUATION OF SNOWPACK SENSITIVITY TO TEMPERATURE PERTURBATIONS IN EAST KAZAKHSTAN A. Rakhimzhanova et al. https://doi.org/10.37943/25VGCQ1362
- Snow Cover and Climate Change and Their Coupling Effects on Runoff in the Keriya River Basin during 2001–2020 W. Yan et al. https://doi.org/10.3390/rs15133435
- The Arabian Sea and Bay of Bengal play a key role in extreme precipitation during the snow season over the Tibetan Plateau W. Wang et al. https://doi.org/10.1002/joc.8431
- High-altitude precipitation controls the mass balance of Pasu Glacier, Karakoram over 2000–2020: A case study based on mass and energy budget Y. Zhu et al. https://doi.org/10.1016/j.accre.2025.03.009
- High-resolution (30 m) mapping of permafrost distribution in the Genhe River Basin, Greater Khingan Mountains, Northeast China X. Jiao et al. https://doi.org/10.1007/s11629-025-0109-z
- Effect of Cloud Mask on the Consistency of Snow Cover Products from MODIS and VIIRS A. Liu et al. https://doi.org/10.3390/rs14236134
- Advances and prospects in reconstruction approaches for snow cover mapping using polar-orbiting satellites J. Zhang et al. https://doi.org/10.3389/feart.2025.1649808
- Harnessing Deep Learning and Snow Cover Data for Enhanced Runoff Prediction in Snow-Dominated Watersheds R. Adnan et al. https://doi.org/10.3390/atmos15121407
- Hydrological processes in continental valley basins: evidence from water stable isotopes R. Li et al. https://doi.org/10.1016/j.catena.2025.109314
- Daily seamless 30-m fractional snow cover mapping via an adaptive Time-Series approach C. Zhang et al. https://doi.org/10.1016/j.jag.2025.105068
- A Snow Depth Retrieval Method Based on Super-Resolution Brightness Temperature Reconstruction and Multimodal Feature Synergy Y. Bai et al. https://doi.org/10.1109/TGRS.2026.3653456
- A Downscaling Algorithm for Snow Cover Extent Over the Tibetan Plateau Based on a Similar Conditional Probability and Otsu’s Method Y. Shen et al. https://doi.org/10.1109/TGRS.2025.3543433
- Cloud gap filling for continuous normalized difference snow index snow cover using the dynamic seasonally recurrent snow depletion pattern over a mountainous watershed C. Woodruff et al. https://doi.org/10.1016/j.rsase.2026.102062
- Development and Evaluation of a Cloud-Gap-Filled MODIS Normalized Difference Snow Index Product over High Mountain Asia G. Deng et al. https://doi.org/10.3390/rs16010192
- Revealing joint evolutions and causal interactions in complex ecohydrological systems by a network-based framework L. Wang et al. https://doi.org/10.5194/hess-29-361-2025
- Comparison of Three Different Random Forest Approaches to Retrieve Daily High-Resolution Snow Cover Maps from MODIS and Sentinel-2 in a Mountain Area, Gran Paradiso National Park (NW Alps) C. Richiardi et al. https://doi.org/10.3390/rs15020343
- Mapping reveals contrasting change patterns of rain-on-snow events in China during 2001–2018 G. Zhou et al. https://doi.org/10.1016/j.jhydrol.2023.129089
- U-SwinFusionNet: High Resolution Snow Cover Mapping on the Tibetan Plateau Based on FY-4A X. Kan et al. https://doi.org/10.3390/w17050706
- Adapting an Existing Empirical Algorithm for Microwave Land Surface Temperature Retrieval in China for AMSR2 Data Q. Zhang et al. https://doi.org/10.3390/rs15133228
- Random Forest-Based Snow Cover Mapping in China Using Fengyun-3B VIRR Data Y. Xie et al. https://doi.org/10.1007/s13351-023-3003-z
- Snow Cover Phenology Change and Response to Climate in China during 2000–2020 Q. Zhao et al. https://doi.org/10.3390/rs14163936
- Rolling forecast of snowmelt floods in data-scarce mountainous regions using weather forecast products to drive distributed energy balance hydrological model G. Zhou et al. https://doi.org/10.1016/j.jhydrol.2024.131384
- Significant roles of snow and vegetation cover in modulating altitudinal gradients of land surface temperature over Asia high mountains H. Zhang et al. https://doi.org/10.1016/j.agrformet.2025.110406
- Snowmelt Runoff in the Yarlung Zangbo River Basin and Runoff Change in the Future H. Ji et al. https://doi.org/10.3390/rs15010055
- An Improved Spatiotemporal Fusion Algorithm for Monitoring Daily Snow Cover Changes With High Spatial Resolution Y. Wang et al. https://doi.org/10.1109/TGRS.2022.3224126
- Quantifying the Effects of Snow on the Beginning of Vegetation Growth in the Mongolian Plateau X. Zhang et al. https://doi.org/10.3390/rs15051245
- Evaluating MODIS cloud-free snow cover datasets using massive spatial benchmark data in the Tibetan Plateau Y. Gao et al. https://doi.org/10.1016/j.scitotenv.2024.175245
- Quantifying regional variability of machine-learning-based snow water equivalent estimates across the Western United States D. Liljestrand et al. https://doi.org/10.1016/j.envsoft.2024.106053
- Persistent Reduction in Snow Mass Over China: Evidence From 40 Years of Satellite Observations Y. Li et al. https://doi.org/10.1109/TGRS.2026.3658511
- Monitoring the Spatiotemporal Dynamics of Arctic Winter Snow/Ice with Moonlight Remote Sensing: Systematic Evaluation in Svalbard D. Liu et al. https://doi.org/10.3390/rs15051255
- Assessment of Maximum Snow-Water Equivalent in the Uba River Basin (Altai) Using the Temperature-Based Melt-Index Method N. Bykov et al. https://doi.org/10.3390/cli13060117
- STAR NDSI collection: a cloud-free MODIS NDSI dataset (2001–2020) for China Y. Jing et al. https://doi.org/10.5194/essd-14-3137-2022
- Investigating the spatiotemporal behavior of VIC model parameters over the Tibetan plateau via global sensitivity analysis and machine learning Y. Li et al. https://doi.org/10.1080/17538947.2026.2625537
- The Application of SWAT Model and Remotely Sensed Products to Characterize the Dynamic of Streamflow and Snow in a Mountainous Watershed in the High Atlas S. Taia et al. https://doi.org/10.3390/s23031246
- The methodology for upscaling surface albedo with consideration of surface heterogeneity Z. Wang et al. https://doi.org/10.1016/j.srs.2025.100340
- Accuracy assessment of cloud removal methods for Moderate-resolution Imaging Spectroradiometer (MODIS) snow data in the Tianshan Mountains, China Q. Wang et al. https://doi.org/10.1007/s40333-025-0098-3
- Reconstruction of Snow Cover in Kaidu River Basin via Snow Grain Size Gap-Filling Based on Machine Learning L. Zhu et al. https://doi.org/10.3390/w15213726
- Snow Cover Mapping From Chinese Geostationary Meteorological Satellite FY-2F VISSR-II Data Using Random Forest Classifier H. Hu et al. https://doi.org/10.1109/JSTARS.2025.3626728
- Pattern and imprints of elevation-dependent warming on central Himalayan cryosphere as revealed by Earth Observation datasets P. Pandey et al. https://doi.org/10.1016/j.rines.2024.100021
- Analysis of runoff components and their responses to climate change in the Manas River Basin, Xinjiang, China C. Zhang et al. https://doi.org/10.1016/j.jhydrol.2026.135004
- MODIS daily cloud-gap-filled fractional snow cover dataset of the Asian Water Tower region (2000–2022) F. Pan et al. https://doi.org/10.5194/essd-16-2501-2024
64 citations as recorded by crossref.
- A dataset of MODIS gap-filled fractional snow cover in the source area of Yellow River during 2000–2021 Y. YANG et al. https://doi.org/10.11922/11-6035.ncdc.2022.0005.zh
- Atmospheric Correction Effects on the NDSI: Snow Detection Characteristics across Land Cover Types D. Jin et al. https://doi.org/10.7780/kjrs.2024.40.5.1.12
- MAT-MS: A mask-aware transformer for constructing gap-free MODIS normalized difference snow index products J. Xu et al. https://doi.org/10.1016/j.isprsjprs.2025.07.004
- A new snow cover mapping algorithm for Chinese geostationary meteorological satellite FY-4A AGRI data L. He et al. https://doi.org/10.1080/17538947.2024.2367086
- Optimizing Cloud Mask Accuracy over Snow-Covered Terrain with a Multistage Decision Tree Framework Q. Zhao et al. https://doi.org/10.3390/rs17243992
- Performance of the WRF Model at the Convection‐Permitting Scale in Simulating Snowfall and Lake‐Effect Snow Over the Tibetan Plateau Q. Lin et al. https://doi.org/10.1029/2022JD038433
- Estimating Early Summer Snow Depth on Sea Ice Using a Radiative Transfer Model and Optical Satellite Data M. Wang & N. Oppelt https://doi.org/10.3390/rs15205016
- Development of a cloud-free MODIS NDSI dataset (2001–2020) over Northeast China H. Guo et al. https://doi.org/10.1080/17538947.2024.2398062
- Reducing hydrological uncertainty in large mountainous basins: the role of isotope, snow cover, and glacier dynamics in capturing streamflow seasonality D. Avesani et al. https://doi.org/10.5194/hess-29-5755-2025
- Investigating climatic drivers of snow phenology by considering key-substage heterogeneity X. Ma et al. https://doi.org/10.1016/j.jhydrol.2024.132215
- Spatiotemporal variation of snow cover days and influencing factors on the Loess Plateau during 2000–2019 S. Li et al. https://doi.org/10.1016/j.jhydrol.2023.130419
- Evaluating MODIS snow products using an extensive wildlife camera network C. Breen et al. https://doi.org/10.1016/j.rse.2023.113648
- Multi-year mapping of flood autumn irrigation extent and timing in harvested croplands of arid irrigation district X. Qian et al. https://doi.org/10.1080/15481603.2022.2126342
- Autumn snow expansion and spring divergence in Northeast China (2000–2020) Y. Xiao et al. https://doi.org/10.1016/j.accre.2025.11.004
- Detection of Wet Snow by Weakly Supervised Deep Learning Change Detection Algorithm with Sentinel-1 Data H. Gong et al. https://doi.org/10.3390/rs16193575
- Validation of Cloud-Gap-Filled Snow Cover of MODIS Daily Cloud-Free Snow Cover Products on the Qinghai–Tibetan Plateau Y. Yuan et al. https://doi.org/10.3390/rs14225642
- Estimating AVHRR snow cover fraction by coupling physical constraints into a deep learning framework Q. Zhao et al. https://doi.org/10.1016/j.isprsjprs.2024.08.015
- What Is the Threshold Elevation at Which Climatic Factors Determine Snow Cover Variability? A Case Study of the Keriya River Basin W. Yan et al. https://doi.org/10.3390/rs15194725
- WRF-Chem simulations of snow nitrate and other physicochemical properties in northern China X. Wang et al. https://doi.org/10.5194/gmd-18-651-2025
- Assessment of snow simulation using Noah-MP land surface model forced by various precipitation sources in the Central Tianshan Mountains, Central Asia T. Yang et al. https://doi.org/10.1016/j.atmosres.2024.107251
- 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. https://doi.org/10.3390/rs16162956
- Monitoring Mangrove Phenology Based on Gap Filling and Spatiotemporal Fusion: An Optimized Mangrove Phenology Extraction Approach (OMPEA) Y. Hong et al. https://doi.org/10.3390/rs17030549
- A long-term daily 500 m snow cover extent product over China (1981–2000) Y. Shen et al. https://doi.org/10.1080/20964471.2026.2648197
- PHYSICALLY BASED EVALUATION OF SNOWPACK SENSITIVITY TO TEMPERATURE PERTURBATIONS IN EAST KAZAKHSTAN A. Rakhimzhanova et al. https://doi.org/10.37943/25VGCQ1362
- Snow Cover and Climate Change and Their Coupling Effects on Runoff in the Keriya River Basin during 2001–2020 W. Yan et al. https://doi.org/10.3390/rs15133435
- The Arabian Sea and Bay of Bengal play a key role in extreme precipitation during the snow season over the Tibetan Plateau W. Wang et al. https://doi.org/10.1002/joc.8431
- High-altitude precipitation controls the mass balance of Pasu Glacier, Karakoram over 2000–2020: A case study based on mass and energy budget Y. Zhu et al. https://doi.org/10.1016/j.accre.2025.03.009
- High-resolution (30 m) mapping of permafrost distribution in the Genhe River Basin, Greater Khingan Mountains, Northeast China X. Jiao et al. https://doi.org/10.1007/s11629-025-0109-z
- Effect of Cloud Mask on the Consistency of Snow Cover Products from MODIS and VIIRS A. Liu et al. https://doi.org/10.3390/rs14236134
- Advances and prospects in reconstruction approaches for snow cover mapping using polar-orbiting satellites J. Zhang et al. https://doi.org/10.3389/feart.2025.1649808
- Harnessing Deep Learning and Snow Cover Data for Enhanced Runoff Prediction in Snow-Dominated Watersheds R. Adnan et al. https://doi.org/10.3390/atmos15121407
- Hydrological processes in continental valley basins: evidence from water stable isotopes R. Li et al. https://doi.org/10.1016/j.catena.2025.109314
- Daily seamless 30-m fractional snow cover mapping via an adaptive Time-Series approach C. Zhang et al. https://doi.org/10.1016/j.jag.2025.105068
- A Snow Depth Retrieval Method Based on Super-Resolution Brightness Temperature Reconstruction and Multimodal Feature Synergy Y. Bai et al. https://doi.org/10.1109/TGRS.2026.3653456
- A Downscaling Algorithm for Snow Cover Extent Over the Tibetan Plateau Based on a Similar Conditional Probability and Otsu’s Method Y. Shen et al. https://doi.org/10.1109/TGRS.2025.3543433
- Cloud gap filling for continuous normalized difference snow index snow cover using the dynamic seasonally recurrent snow depletion pattern over a mountainous watershed C. Woodruff et al. https://doi.org/10.1016/j.rsase.2026.102062
- Development and Evaluation of a Cloud-Gap-Filled MODIS Normalized Difference Snow Index Product over High Mountain Asia G. Deng et al. https://doi.org/10.3390/rs16010192
- Revealing joint evolutions and causal interactions in complex ecohydrological systems by a network-based framework L. Wang et al. https://doi.org/10.5194/hess-29-361-2025
- Comparison of Three Different Random Forest Approaches to Retrieve Daily High-Resolution Snow Cover Maps from MODIS and Sentinel-2 in a Mountain Area, Gran Paradiso National Park (NW Alps) C. Richiardi et al. https://doi.org/10.3390/rs15020343
- Mapping reveals contrasting change patterns of rain-on-snow events in China during 2001–2018 G. Zhou et al. https://doi.org/10.1016/j.jhydrol.2023.129089
- U-SwinFusionNet: High Resolution Snow Cover Mapping on the Tibetan Plateau Based on FY-4A X. Kan et al. https://doi.org/10.3390/w17050706
- Adapting an Existing Empirical Algorithm for Microwave Land Surface Temperature Retrieval in China for AMSR2 Data Q. Zhang et al. https://doi.org/10.3390/rs15133228
- Random Forest-Based Snow Cover Mapping in China Using Fengyun-3B VIRR Data Y. Xie et al. https://doi.org/10.1007/s13351-023-3003-z
- Snow Cover Phenology Change and Response to Climate in China during 2000–2020 Q. Zhao et al. https://doi.org/10.3390/rs14163936
- Rolling forecast of snowmelt floods in data-scarce mountainous regions using weather forecast products to drive distributed energy balance hydrological model G. Zhou et al. https://doi.org/10.1016/j.jhydrol.2024.131384
- Significant roles of snow and vegetation cover in modulating altitudinal gradients of land surface temperature over Asia high mountains H. Zhang et al. https://doi.org/10.1016/j.agrformet.2025.110406
- Snowmelt Runoff in the Yarlung Zangbo River Basin and Runoff Change in the Future H. Ji et al. https://doi.org/10.3390/rs15010055
- An Improved Spatiotemporal Fusion Algorithm for Monitoring Daily Snow Cover Changes With High Spatial Resolution Y. Wang et al. https://doi.org/10.1109/TGRS.2022.3224126
- Quantifying the Effects of Snow on the Beginning of Vegetation Growth in the Mongolian Plateau X. Zhang et al. https://doi.org/10.3390/rs15051245
- Evaluating MODIS cloud-free snow cover datasets using massive spatial benchmark data in the Tibetan Plateau Y. Gao et al. https://doi.org/10.1016/j.scitotenv.2024.175245
- Quantifying regional variability of machine-learning-based snow water equivalent estimates across the Western United States D. Liljestrand et al. https://doi.org/10.1016/j.envsoft.2024.106053
- Persistent Reduction in Snow Mass Over China: Evidence From 40 Years of Satellite Observations Y. Li et al. https://doi.org/10.1109/TGRS.2026.3658511
- Monitoring the Spatiotemporal Dynamics of Arctic Winter Snow/Ice with Moonlight Remote Sensing: Systematic Evaluation in Svalbard D. Liu et al. https://doi.org/10.3390/rs15051255
- Assessment of Maximum Snow-Water Equivalent in the Uba River Basin (Altai) Using the Temperature-Based Melt-Index Method N. Bykov et al. https://doi.org/10.3390/cli13060117
- STAR NDSI collection: a cloud-free MODIS NDSI dataset (2001–2020) for China Y. Jing et al. https://doi.org/10.5194/essd-14-3137-2022
- Investigating the spatiotemporal behavior of VIC model parameters over the Tibetan plateau via global sensitivity analysis and machine learning Y. Li et al. https://doi.org/10.1080/17538947.2026.2625537
- The Application of SWAT Model and Remotely Sensed Products to Characterize the Dynamic of Streamflow and Snow in a Mountainous Watershed in the High Atlas S. Taia et al. https://doi.org/10.3390/s23031246
- The methodology for upscaling surface albedo with consideration of surface heterogeneity Z. Wang et al. https://doi.org/10.1016/j.srs.2025.100340
- Accuracy assessment of cloud removal methods for Moderate-resolution Imaging Spectroradiometer (MODIS) snow data in the Tianshan Mountains, China Q. Wang et al. https://doi.org/10.1007/s40333-025-0098-3
- Reconstruction of Snow Cover in Kaidu River Basin via Snow Grain Size Gap-Filling Based on Machine Learning L. Zhu et al. https://doi.org/10.3390/w15213726
- Snow Cover Mapping From Chinese Geostationary Meteorological Satellite FY-2F VISSR-II Data Using Random Forest Classifier H. Hu et al. https://doi.org/10.1109/JSTARS.2025.3626728
- Pattern and imprints of elevation-dependent warming on central Himalayan cryosphere as revealed by Earth Observation datasets P. Pandey et al. https://doi.org/10.1016/j.rines.2024.100021
- Analysis of runoff components and their responses to climate change in the Manas River Basin, Xinjiang, China C. Zhang et al. https://doi.org/10.1016/j.jhydrol.2026.135004
- MODIS daily cloud-gap-filled fractional snow cover dataset of the Asian Water Tower region (2000–2022) F. Pan et al. https://doi.org/10.5194/essd-16-2501-2024
Saved (final revised paper)
Latest update: 01 Jun 2026
Short summary
We develop and validate a new 20-year MODIS snow-cover-extent product over China, which is dedicated to addressing known problems of the standard snow products. As expected, the new product significantly outperforms the state-of-the-art MODIS C6.1 products; improvements are particularly clear in forests and for the daily cloud-free product. Our product has provided more reliable snow knowledge over China and can be accessible freely https://dx.doi.org/10.11888/Snow.tpdc.271387.
We develop and validate a new 20-year MODIS snow-cover-extent product over China, which is...
