2020
DOI: 10.1016/j.acags.2020.100040
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Monitoring and mapping of snow cover variability using topographically derived NDSI model over north Indian Himalayas during the period 2008–19

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Cited by 41 publications
(12 citation statements)
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“…The present synthesis shows that procuring a trend in snow cover changes is challenging for the Himalayan region due to the limited number of observations, substantial annual and inter-annual variability, and scarce in-situ snow depth area data (Kulkarni et al, 2021). However, overall, it is widely reported that depleting snow cover and its spatiotemporal changes are associated with changes in climatic variables over the Himalaya (Sood et al, 2020;Desinayak et al, 2022). Understanding variability of snow cover with respect to altitude and air temperature is vital for assessing availability of regional water resources and the impact of climate change in the Himalaya (Immerzeel et al, 2010;Shrestha et al, 2015).…”
Section: Snow Cover Snow Depth and Snow Water Equivalent Variability ...mentioning
confidence: 83%
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“…The present synthesis shows that procuring a trend in snow cover changes is challenging for the Himalayan region due to the limited number of observations, substantial annual and inter-annual variability, and scarce in-situ snow depth area data (Kulkarni et al, 2021). However, overall, it is widely reported that depleting snow cover and its spatiotemporal changes are associated with changes in climatic variables over the Himalaya (Sood et al, 2020;Desinayak et al, 2022). Understanding variability of snow cover with respect to altitude and air temperature is vital for assessing availability of regional water resources and the impact of climate change in the Himalaya (Immerzeel et al, 2010;Shrestha et al, 2015).…”
Section: Snow Cover Snow Depth and Snow Water Equivalent Variability ...mentioning
confidence: 83%
“…Different techniques were proposed to estimate snow cover over different regions. Some of these techniques were adopted for snow cover monitoring over the Himalaya, and they were reported in Sood et al (2020): normalized difference snow index (NDSI) (Sharma et al, 2012;Rathore et al, 2018), change detection , pan-sharpening (Singh et al, 2020), and snow cover mapping using snow depth maps (Gusain et al, 2016). Other than these techniques, snow cover mapping with interferometry coherence analysis using synthetic aperture radar (SAR) data (Kumar and Venkataraman, 2011) and, backscatter ratio-based technique (Thakur et al, 2013) have also been used over different sub-basins in the Himalayan region.…”
Section: Snow Cover Snow Depth and Snow Water Equivalent Variability ...mentioning
confidence: 99%
“…In few studies, climate variations have shown a strong influence on the seasonal distribution of snow cover, which has negatively impacted the snowmelt runoff and glacier mass balances (Singh, Jain, & Goyal, 2021; Singh & Muñoz‐Arriola, 2021). Based on various topographical and weather parameters such as elevation level and temperature variations, the Himalayan climatology can be distributed into three zones namely, upper zones, middle and lower (Sood et al, 2020). A few studies have shown a clear sign of an increase in temperature in the Ganga river basin (Lutz et al, 2019; Mittal et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…The Himalayan glaciers are situated at an altitude above 3,500 m, away from the settlement of human inhabitants (Thayyen et al 2007). The glaciers of central and eastern Himalaya receive moisture from the Indian Summer Monsoon (ISM), while the glaciers of western Himalaya pick up a major part of the moisture from the Indian Winter Monsoon (IWM) (Dimri et al 2016;Sharma et al 2016;Sood et al 2020). Hydrogeochemical study of the meltwater drained from different glaciers is important because of increasing requirement of freshwater in downstream regions (Bisht et al 2018).…”
Section: Introductionmentioning
confidence: 99%