Results 11 to 20 of about 2,522 (180)

Combined Use of Multiple Cloud‐Free Snow Cover Products in China and Its High‐Mountain Region: Implications From Snow Cover Identification to Snow Phenology Detection

open access: yesWater Resources Research
Accurate snow phenology detection, including snow cover days (SCD), snow start date (SSD), and snow end date (SED), is increasingly important for understanding mountain hydrology such as snow heterogeneity and snowmelt seasonality.
Longhui Zhang   +3 more
doaj   +3 more sources

Effect of Snow Cover on Detecting Spring Phenology from Satellite-Derived Vegetation Indices in Alpine Grasslands

open access: yesRemote Sensing, 2022
The accurate estimation of phenological metrics from satellite data, especially the start of season (SOS), is of great significance to enhance our understanding of trends in vegetation phenology under climate change at regional or global scales. However,
Yiting Wang   +6 more
doaj   +4 more sources

Relationship between vegetation phenology and snow cover changes during 2001–2018 in the Qilian Mountains

open access: yesEcological Indicators, 2021
Vegetation phenology has a profound impact on soil and water conservation and biogeochemical cycles, while its relationship with snow parameters has not been well addressed for parts of the Qinghai-Tibet Plateau (QTP).
Yuan Qi   +4 more
doaj   +2 more sources

Combined Effects of Precipitation and Temperature on the Responses of Forest Spring Phenology to Winter Snow Cover Dynamics in Northeast China [PDF]

open access: yesIEEE Access, 2019
The start date of vegetation growing season (SOS) is generally considered as an essential indicator to reflect vegetation growth condition. To date, relatively little research has explored the combined effects of temperature and precipitation on the ...
Dejing Qiao   +3 more
doaj   +2 more sources

Seasonal Coat Colour Moult and Mismatch in Ezo Mountain Hares (Lepus timidus ainu): Phenotypic Plasticity and Snow Cover Effects in Hokkaido, Japan

open access: yesEcology and Evolution
Seasonal coat colour (SCC) moult has evolved in numerous species to maintain camouflage in contrasting seasonal environments. Variations in snow cover patterns, particularly shifts in the timing and duration of snow cover, increase challenges for coat ...
Fatima Chaudhary   +3 more
doaj   +2 more sources

Impact of Snow on Vegetation Green-Up on the Mongolian Plateau [PDF]

open access: yesPlants
Snow serves as a crucial water source for vegetation growth on the Mongolian Plateau, and its temporal and spatial variations exert profound influences on terrestrial vegetation phenology.
Xiang Zhang   +6 more
doaj   +2 more sources

Characterizing ecosystem phenological diversity and its macroecology with snow cover phenology. [PDF]

open access: yesSci Rep, 2019
AbstractOne critical challenge of exploring flora phenology is on characterizing ecosystem phenological diversity (EPD), and thus how EPD’s performance is influenced by climate changes has also been an open macro-ecological question. To fill these two gaps, we proposed an innovative method for reflecting EPD, by taking the advantage of the often ...
Lin Y, Hyyppä J.
europepmc   +4 more sources

Snow cover phenology dataset over global mountain regions from 2000 to 2023. [PDF]

open access: yesData Brief
Monitoring temporal and spatial changes in the mountain seasonal snowpack is a key step to better quantify the impact of recent climate warming on this very sensitive environment. In this context, to support the research on large scale, there is an urgent need of consistent and accurate data sets over global mountain regions.
Notarnicola C.
europepmc   +3 more sources

Observed contrast changes in snow cover phenology in northern middle and high latitudes from 2001-2014. [PDF]

open access: yesSci Rep, 2015
AbstractQuantifying and attributing the phenological changes in snow cover are essential for meteorological, hydrological, ecological and societal implications. However, snow cover phenology changes have not been well documented. Evidence from multiple satellite and reanalysis data from 2001 to 2014 points out that the snow end date (De) advanced by 5 ...
Chen X, Liang S, Cao Y, He T, Wang D.
europepmc   +4 more sources

Variability in snow cover phenology in China from 1952 to 2010 [PDF]

open access: yesHydrology and Earth System Sciences, 2016
Abstract. Daily snow observation data from 672 stations in China, particularly the 296 stations with over 10 mean snow cover days (SCDs) in a year during the period of 1952–2010, are used in this study. We first examine spatiotemporal variations and trends of SCDs, snow cover onset date (SCOD), and snow cover end date (SCED).
C.-Q. Ke   +5 more
openaire   +4 more sources

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