[HTML][HTML] Hotspots of snow cover changes in global mountain regions over 2000–2018

C Notarnicola - Remote Sensing of Environment, 2020 - Elsevier
Quantification of snow cover changes and related phenology in global mountain areas has
not been consistently addressed, despite the well-known importance of the snow in this …

Satellite observed spatiotemporal variability of snow cover and snow phenology over high mountain Asia from 2002 to 2021

Z Tang, G Deng, G Hu, H Zhang, H Pan, G Sang - Journal of hydrology, 2022 - Elsevier
Accurate understanding the spatiotemporal variability of snow cover and snow phenology
over High Mountain Asia (HMA) is of great interest because of their vital impacts on the …

Ground-based evaluation of MODIS snow cover product V6 across China: Implications for the selection of NDSI threshold

H Zhang, F Zhang, G Zhang, T Che, W Yan… - Science of the Total …, 2019 - Elsevier
The new MODIS daily NDSI snow cover product version 6 (V6) is released to replace V5
with significant revisions. This study evaluates, for the first time, the accuracy of product V6 …

A snow cover climatology for the Pyrenees from MODIS snow products

S Gascoin, O Hagolle, M Huc, L Jarlan… - Hydrology and Earth …, 2015 - hess.copernicus.org
The seasonal snow in the Pyrenees is critical for hydropower production, crop irrigation and
tourism in France, Spain and Andorra. Complementary to in situ observations, satellite …

[HTML][HTML] The NIEER AVHRR snow cover extent product over China–a long-term daily snow record for regional climate research

X Hao, G Huang, T Che, W Ji, X Sun… - Earth System …, 2021 - essd.copernicus.org
A long-term Advanced Very High Resolution Radiometer (AVHRR) snow cover extent (SCE)
product from 1981 until 2019 over China has been generated by the snow research team in …

Overview of NASA's MODIS and visible infrared imaging radiometer suite (VIIRS) snow-cover earth system data records

GA Riggs, DK Hall, MO Román - Earth System Science Data, 2017 - essd.copernicus.org
Knowledge of the distribution, extent, duration and timing of snowmelt is critical for
characterizing the Earth's climate system and its changes. As a result, snow cover is one of …

A systematic evaluation of Noah‐MP in simulating land‐atmosphere energy, water, and carbon exchanges over the continental United States

N Ma, GY Niu, Y ** snow cover in forests using optical remote sensing, machine learning and time-lapse photography
J Luo, C Dong, K Lin, X Chen, L Zhao… - Remote Sensing of …, 2022 - Elsevier
The accurate spatial information of snow cover is useful for understanding the impact of
global warming, and it is of high significance for hydrological disaster prediction, water …