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

Gaur, Mahesh K.; Goyal, Ruchika; Saha, Dipankar; Singh, Neelratan; Shekhar, Shashank; Kumar, Ajai; Chauhan, J. S.

doi:10.15244/pjoes/135606

Cited by 4 publications

(4 citation statements)

References 32 publications

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“…The results show that the accuracy of NDSI is adequate for estimating snow cover. Furthermore, the snow cover in the research region has been seen to decrease with time [2,4], found that NDSI and NDSInw indices were able to extract snow cover in cold areas in Sablan region in Ardabil province, Iran. Consequently, it might be an excellent indicator for determining the snow cover area in locations with little to no water [17].…”

Section: Introductionmentioning

confidence: 99%

“…The unpredicted variations in snow cover areas due to climate change or global warming directly lead to major hazards [2]. Information on snow cover is critical for the long-term management of water resources in areas where climate change has exacerbated water scarcity [3] Also, the reflective characteristics of Snow an important component of the Earth's radiation balance [4] The main variables influencing the glacier's mass balance are regional temperature change, solar flux, and precipitation. Similarly, low increases in temperature have been found to have a significant effect on both snowmelt and snowfall (US Environmental Protection Agency CCD snow and ice).…”

Section: Introductionmentioning

confidence: 99%

“…"Currently, remotely sensed" (RS) techniques are commonly used to calculate snow dynamics, and Satellite image are employed for noticeable because of their synoptic perception creating distinct spectral characteristics of snow and glaciers, and high temporal frequency. [4]. Geographical Information System (GIS) and (RS) techniques have grown in popularity due to their unique and broad utility in performing accurate, mapping, and shrivelling of distant regions [7].…”

Section: Introductionmentioning

confidence: 99%

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Assessment the Impact of Climate Changes on Snow Cover Area Using Landsat Data in Sulaymaniyah City, Iraq

Altemimi,

Al-Lami,

Hashim

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Snow due to its unique reflective nature and wide surface exposure is an important component of the Earth’s radiation balance. Data from Landsat5 TM and Landsat8 OLI images were used to detect the change in snow cover, values of water bodies, and land surface temperature during the study period years 1987, 1999, 2009, and 2022. ArcGIS 10.8 is used to determine the variations and calculate NDSI, NDSInw, NDWI, and LST index indices. This study aimed to monitor the snow cover area in Sulaymaniyah city, northeastern Iraq, and evaluate the impact of climate changes on snow cover. The results showed significant changes in the snow cover, and the area and percentage of snow cover decreased continuously during the study periods. Some regions have preserved the snow cover and these regions are concentrated in the northeastern part of the province. The finding also revealed that NDSI overestimated the amount of snow and ice cover, because it employs the near-infrared and visible bands, and NDSInw can extract ice cover in areas with water cover more effectively due to its usage of the NIR band.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Assessment the Impact of Climate Changes on Snow Cover Area Using Landsat Data in Sulaymaniyah City, Iraq

Altemimi,

Al-Lami,

Hashim

2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…In the last two or three decades, there has been a trend towards a reduction in publications related to ground-based studies and the appearance of works reflecting the results of remote observations [16][17][18][19]. This reflects the actual situation in the development of methods for studying snow cover.…”

Section: Introductionmentioning

confidence: 99%

Effect of Forests Stands of Rudny Altai (Eastern Kazakhstan) on the Formation of Snow Cover

Kalachev,

Burenina,

Rogovskiy

et al. 2023

Pol. J. Environ. Stud.

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The results of snow measurements in Rudny Altai during 2020-2022 are analyzed. The influence of meteorological factors on the formation of snow cover in stands of various species composition is considered. Studies have shown that temporal aspect of changes in the characteristics of the snow cover is associated primarily with the weather conditions of a particular season. Precipitation in the winter season of 2020-2021 fell by 62 mm less than in 2021-2022 and in the bushy area in 2022, moisture reserves were 16% more than in 2021. In a birch stand, this difference was 33%, and in a fir stand -48%. Against the background of zonal-climatic patterns of snow cover formation, local factors that determine the spatial distribution of snow, its depth, density, dates of formation and melting, and duration of duration of existence have a great influence. In this regard, the differences in the formation of snow cover in various phytocenoses, which are represented in the mountain conditions of the Rudny Altai, are very significant. The data obtained show that the birch and fir forests practically did not differ in the water content in the snow at the end of March 2022 (408 and 410 mm), while in the area with shrubs, water content in the snow was 44-46 mm lower than in the fir forest. The results of field studies will make it possible to scientifically substantiate the basic principles of forest management within the boundaries of catchment areas based on the basin approach. Data received expand existing ideas on the hydrological role of mountain forests; they can be included in a common database and used to build a universal model that reflects the dependence of coefficient water content in snow on a number of trees stand characteristics and climatic conditions that affect the formation of snow cover in the forest.

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Snow Cover Estimation Using Sentinel-2 High Spatial Resolution Data. A Case Study: National Park Šar Planina (Serbia)

Stojković

Marković²,

Durlević³

2022

Advanced Technologies, Systems, and Applications VII

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

Cited by 4 publications

References 32 publications

Assessment the Impact of Climate Changes on Snow Cover Area Using Landsat Data in Sulaymaniyah City, Iraq

Assessment the Impact of Climate Changes on Snow Cover Area Using Landsat Data in Sulaymaniyah City, Iraq

Effect of Forests Stands of Rudny Altai (Eastern Kazakhstan) on the Formation of Snow Cover

Snow Cover Estimation Using Sentinel-2 High Spatial Resolution Data. A Case Study: National Park Šar Planina (Serbia)

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