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Changes in Snow Phenology from 1979 to 2016 over the Tianshan Mountains, Central Asia [PDF]
Remote Sensing, 2019 Snowmelt from the Tianshan Mountains (TS) is a major contributor to the water resources of the Central Asian region. Thus, changes in snow phenology over the TS have significant implications for regional water supplies and ecosystem services.
Tao Yang +4 more
doaj +9 more sources
Dynamic identification of snow phenology in the Northern Hemisphere [PDF]
The CryosphereSnow phenology characterizes the cyclical changes in snow and has become an important indicator of climate change in recent decades. Changes in snow phenology can significantly impact climate and hydrological conditions.
L. Wang +6 more
doaj +5 more sources
Assessing Snow Phenology and Its Environmental Driving Factors in Northeast China [PDF]
Remote Sensing, 2022 Snow cover is an important water source and even an Essential Climate Variable (ECV) as defined by the World Meteorological Organization (WMO).
Hui Guo +3 more
doaj +3 more sources
Interplay between snow phenology and vegetation phenology in Alaska under climate change
Advances in Climate Change ResearchSnow cover is one of the most important factors controlling Arctic ecosystems' microclimate and plant growth conditions in Arctic ecosystems. Climate change has impacted the timing and spatial variability of both snow cover, and worldwide vegetation ...
Ya-Qiong Mu +4 more
doaj +3 more sources
Water Resources ResearchAccurate 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
Snow Cover Phenology in Xinjiang Based on a Novel Method and MOD10A1 Data
Remote Sensing, 2023 Using Earth observation to accurately extract snow phenology changes is of great significance for deepening the understanding of the ecological environment and hydrological process, agricultural and animal husbandry production, and high-quality ...
Qingxue Wang, Yonggang Ma, Junli Li
doaj +3 more sources
Remote Sensing, 2022 Snow is involved in and influences water–energy processes at multiple scales. Studies on land surface snow phenology are an important part of cryosphere science and are a hot spot in the hydrological community.
Lei Wu +6 more
doaj +2 more sources
Impact of Snow Cover Phenology on the Vegetation Green-Up Date on the Tibetan Plateau
Remote Sensing, 2022 Variations in snow cover resulting from global warming inevitably affect alpine vegetation growth on the Tibetan Plateau (TP), but our knowledge of such influences is still limited.
Jingyi Xu +6 more
doaj +2 more sources
Remote Sensing, 2021 Snow cover phenology has exhibited dramatic changes in the past decades. However, the distribution and attribution of the hemispheric scale snow cover phenology anomalies remain unclear. Using satellite-retrieved snow cover products, ground observations,
Xiaona Chen +3 more
doaj +2 more sources
A random-forest-derived 35-year snow phenology record reveals climate trends in the Yukon River Basin [PDF]
The CryosphereThis study presents a 35-year snow phenology record for the Yukon River Basin (YRB), developed using a random forest (RF) model at a 3.125 km resolution, capturing detailed trends in snowmelt onset and snow-off.
C. G. Pan +6 more
doaj +2 more sources