Assessment of relationship between snow cover characteristics (SGI and SCI) and snow cover indices (NDSI and S3)

Kour, Retinder; Patel, Nilanchal; Krishna, Akhouri Pramod

doi:10.1007/s12145-015-0216-4

Cited by 18 publications

(8 citation statements)

References 34 publications

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“…Snow is an essential feature of water source in the river basins originating from the Himalayas, thus affecting fresh water supplies, agriculture and hydro-power generation (Sharma et al, 2014;Li et al, 2014;Kour et al, 2015a). Discharge of these rivers is mainly contributed by the snow-glacial melt during spring and summer season (Sharma et al, 2013), thus snow cover area (SCA) variation influences the sustainability of millions of people in the Himalayan region (Barnett et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Assessment of temporal dynamics of snow cover and its validation with hydro-meteorological data in parts of Chenab Basin, western Himalayas

Kour

Patel

Krishna

2016

Sci. China Earth Sci.

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The present investigation was conducted to analyze the temporal patterns of snow cover area% (SCA%), air temperature, snowfall and river discharge in parts of Chenab basin, western Himalayas. The relationship of mean SCA% with mean air temperature and river discharge was also tested using Pearson's product-moment correlation at 95% confidence limit and further sensitivity analysis of river discharge to SCA and SCA to air temperature was performed. Moderate Resolution Imaging Spectroradiometer (MODIS) 8-day surface reflectance product MOD09A1 was used to delineate SCA during the period 2000-2013. Moreover, variation in the lowest elevation from where snow cover area starts (LESCA) was also analyzed and its relationship with mean air temperature was also studied. Non-parametric method, Mann-Kendall test was employed to determine the trend in the SCA%, air temperature, snowfall and river discharge. The investigation carried out for three meteorological stations i.e. Batote, Reasi and Tandi revealed significant findings. At Batote and Reasi, statistically significant decreasing trends were observed over the period 2000 to 2012, for maximum, minimum and mean air temperature. Mean minimum SCA% exhibited a significant upward trend during 2000-2013 which is corroborated by the significantly increasing trend of mean annual snowfall (Tandi station) from 2000 to 2010. Further, significant decreasing trend of river discharge for the winter season at Batote station from 2000 to 2011 and decreasing trends in the maximum, minimum and mean air temperature at Batote and Reasi stations are also consistent with the increasing trend of SCA%. At both Batote and Reasi stations, mean SCA% exhibited significant negative relationship with the mean air temperature. On the other hand, LESCA exhibited positive correlation with the mean air temperature except in a few months, where negative relationship was seen. Sensitivity analysis of river discharge to SCA exhibited very low values of sensitivity coefficient in most of the months, indicating less sensitivity of river discharge to SCA. On the other hand, sensitivity coefficient of SCA to air temperature exhibited comparatively higher values which indicate SCA is more sensitive to air temperature.

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Section: Introductionmentioning

confidence: 99%

Assessment of temporal dynamics of snow cover and its validation with hydro-meteorological data in parts of Chenab Basin, western Himalayas

Kour

Patel

Krishna

2016

Sci. China Earth Sci.

Self Cite

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“…The value of the SCI remains negative for all types of contamination. Therefore, using cloud-free reflectance for each hydrological year from January 2013 to June 2017, we retrieved optical snow cover indexes for each pixel, including the normalized difference snow index (NDSI) 38 , the snow grain index (SGI), and the snow contamination index (SCI) [39][40][41][42] . NDSI, SGI, and SCI all range from − 1 to + 1.…”

Section: Methodsmentioning

confidence: 99%

Quantitative determination of environmental factors governing the snow melting: a geodetector case study in the central Tienshan Mountains

Liu

Lei

et al. 2022

Sci Rep

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Because of the distinctive vertical climate and topography gradients in the alpine region, the snow cover of the Tienshan Mountains possesses complex spatiotemporal heterogeneity, particularly during the melting process. Quantifying the environmental factors is therefore crucial to understanding the melting process and for predicting and managing snowmelt runoff. Herein, the snow cover area, grain size, and contamination extent were determined to characterize the detailed melting status based on surface reflectance data of MOD09A1 in the central Tienshan Mountains from 2013 to 2017. The environmental factors collected include relief (elevation, slope, and aspect); meteorology (surface air temperature, land surface temperature, solar radiation, and wind speed); and land surface vegetation. Analysis of the geodetector results indicated the following. (1) Patterns of changes in the overall dominant environmental variables were consistent for the pre-, mid-, and post-melting periods defined according to the decline of snow cover area over five years. (2) The overall major environmental factors were wind speed and radiation (pre-period), land surface temperature and elevation (mid-period), and elevation and land surface types (post-period), respectively. (3) Regional distinctions were detected of the dominant environmental factors. In the pre-melting period, the effects of solar radiation and wind speed were noticeable in the north and south regions, respectively. The effects of elevation, land surface temperature, and land cover types became more prominent in all regions during the mid- and post-melting periods. (4) Interaction between the major environmental factors was significantly enhanced on both the overall and regional scales, thus affecting the snow-melting process. Finally, the energy distribution mismatch resulted in the snowmelt. Multiple environmental factors substantially affect heat redistribution at different spatiotemporal scales, resulting in the snowmelt as a complex manifestation of the factors and their interactions. The findings highlight regional differences in various environmental factors of the melting process and offer a theoretical foundation for the melting process at various scales over multiple years.

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“…The analysis of the necessary algorithm to choose an appropriate sensor has also been studied by using capacity of remote sensing for the collection of required parameters in snow-hydrology [23,24]. However, because of its high reflectance, the degree of snow cover can easily be detected in the visible and near-infrared (NIR) wavelength bands [25].…”

Section: Introductionmentioning

confidence: 99%

The Estimation of Snow Cover Distribution Using Satellite Data in the Cold Arid Leh Region of Indian Himalaya

Gaur¹,

Goyal²,

Saha³

et al. 2021

Pol. J. Environ. Stud.

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Assessment of relationship between snow cover characteristics (SGI and SCI) and snow cover indices (NDSI and S3)

Cited by 18 publications

References 34 publications

Assessment of temporal dynamics of snow cover and its validation with hydro-meteorological data in parts of Chenab Basin, western Himalayas

Assessment of temporal dynamics of snow cover and its validation with hydro-meteorological data in parts of Chenab Basin, western Himalayas

Quantitative determination of environmental factors governing the snow melting: a geodetector case study in the central Tienshan Mountains

The Estimation of Snow Cover Distribution Using Satellite Data in the Cold Arid Leh Region of Indian Himalaya

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