Articles | Volume 23, issue 12
https://doi.org/10.5194/hess-23-5227-2019
© Author(s) 2019. 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-23-5227-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluation of MODIS and VIIRS cloud-gap-filled snow-cover products for production of an Earth science data record
Dorothy K. Hall
CORRESPONDING AUTHOR
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA
Cryospheric Sciences Laboratory, NASA/Goddard Space Flight Center,
Greenbelt, MD 20771, USA
George A. Riggs
Cryospheric Sciences Laboratory, NASA/Goddard Space Flight Center,
Greenbelt, MD 20771, USA
Science Systems and Applications, Inc. (SSAI), Lanham, MD 20706, USA
Nicolo E. DiGirolamo
Cryospheric Sciences Laboratory, NASA/Goddard Space Flight Center,
Greenbelt, MD 20771, USA
Science Systems and Applications, Inc. (SSAI), Lanham, MD 20706, USA
Miguel O. Román
Earth from Space Institute/USRA, 7178 Columbia Gateway Dr.,
Columbia, MD 21046, USA
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- Daily MODIS Snow Cover Maps for the European Alps from 2002 onwards at 250 m Horizontal Resolution Along with a Nearly Cloud-Free Version M. Matiu et al. 10.3390/data5010001
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46 citations as recorded by crossref.
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- Mapping snow cover from daily Collection 6 MODIS products over Austria R. Tong et al. 10.1016/j.jhydrol.2020.125548
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- Need and vision for global medium-resolution Landsat and Sentinel-2 data products V. Radeloff et al. 10.1016/j.rse.2023.113918
- Reconstructing MODIS normalized difference snow index product on Greenland ice sheet using spatiotemporal extreme gradient boosting model F. Ye et al. 10.1016/j.jhydrol.2024.132277
- Exploring the links between variations in snow cover area and climatic variables in a Himalayan catchment using earth observations and CMIP6 climate change scenarios D. Singh et al. 10.1016/j.jhydrol.2022.127648
- Global relative ecosystem service budget mapping using the Google Earth Engine and land cover datasets T. Liu et al. 10.1088/2515-7620/ac79a9
- Regional trends in snowmelt timing for the western United States throughout the MODIS era D. O’Leary et al. 10.1080/02723646.2020.1854418
- Rapid decline in extratropical Andean snow cover driven by the poleward migration of the Southern Hemisphere westerlies R. Cordero et al. 10.1038/s41598-024-78014-0
- Assessing the snow cover dynamics and its relationship with different hydro-climatic characteristics in Upper Ganges river basin and its sub-basins S. Thapa et al. 10.1016/j.scitotenv.2021.148648
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- Validation of EUMETSAT H-SAF space-born snow water equivalent product (H13) for the 2020-2021 snow year over Turkey S. KUTER et al. 10.53516/ajfr.1145662
- High-resolution mapping of snow cover in montane meadows and forests using Planet imagery and machine learning K. Yang et al. 10.3389/frwa.2023.1128758
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- A machine learning-based accuracy enhancement on EUMETSAT H-SAF H35 effective snow-covered area product S. Kuter et al. 10.1016/j.rse.2022.112947
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- An Automatic Method to Detect Lake Ice Phenology Using MODIS Daily Temperature Imagery X. Zhang et al. 10.3390/rs13142711
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- Snow cover phenology dataset over global mountain regions from 2000 to 2023 C. Notarnicola 10.1016/j.dib.2024.110860
7 citations as recorded by crossref.
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- On the Interest of Optical Remote Sensing for Seasonal Snowmelt Parameterization, Applied to the Everest Region (Nepal) B. Bouchard et al. 10.3390/rs11222598
- Daily MODIS Snow Cover Maps for the European Alps from 2002 onwards at 250 m Horizontal Resolution Along with a Nearly Cloud-Free Version M. Matiu et al. 10.3390/data5010001
- Data Assimilation Improves Estimates of Climate-Sensitive Seasonal Snow M. Girotto et al. 10.1007/s40641-020-00159-7
Latest update: 14 Dec 2024
Short summary
Global snow cover maps have been available since 2000 from the MODerate resolution Imaging Spectroradiometer (MODIS), and since 2000 and 2011 from the Suomi National Polar-orbiting Partnership (S-NPP) and the Visible Infrared Imaging Radiometer Suite (VIIRS), respectively. These products are used extensively in hydrological modeling and climate studies. New, daily cloud-gap-filled snow products are available from both MODIS and VIIRS, and are being used to develop an Earth science data record.
Global snow cover maps have been available since 2000 from the MODerate resolution Imaging...