A platform for research: civil engineering, architecture and urbanism
Spatio-Temporal Variability Analysis of Snow Cover in Sutlej Basin Using MODIS Snow Cover Data
Snow is a crucial component of the cryosphere and is an Essential Climate Variable (ECV), an indicator of climate change. Large number of studies suggests climate change is affecting the snow cover and the resulting snowmelt runoff in Himalaya mountainous region. Monitoring the snow cover area dynamics becomes very essential amidst the growing importance of the snow and glaciers in Indian Himalayan region and its efficient utilization of water resources. The present study examines the spatial and temporal variations of Snow Cover Area (SCA) in the Sutlej basin, using eight-day snow cover products derived from Moderate Resolution Imaging Spectroradiometer (MODIS) aboard Terra (MOD10A2) and Aqua (MYD10A2) with a spatial resolution of 500 m (version-6) for the period 2002–2020 (18 years). The cloud cover quantity is minimized by means of taking the combination of Terra and Aqua MODIS snow cover products. The analysis is done on a monthly, seasonal and annual time scale along with the elevation, slope and aspect SCA variation in the basin. The average SCA in Sutlej basin is 41.03% of the total basin area (52,553 km2). It is observed that the minimum annual average SCA is 33.26% in 2015–2016 and the maximum annual average SCA is 49.95% in 2014–2015. The trend analysis was performed for elevation, slope, aspect and the result doesn’t indicate any significant trend for the period 2002–2020 (18 years). The average inter-annual seasonal variability over the decade (2002–2011) is more as compared to other decade (2011–2020).
Spatio-Temporal Variability Analysis of Snow Cover in Sutlej Basin Using MODIS Snow Cover Data
Snow is a crucial component of the cryosphere and is an Essential Climate Variable (ECV), an indicator of climate change. Large number of studies suggests climate change is affecting the snow cover and the resulting snowmelt runoff in Himalaya mountainous region. Monitoring the snow cover area dynamics becomes very essential amidst the growing importance of the snow and glaciers in Indian Himalayan region and its efficient utilization of water resources. The present study examines the spatial and temporal variations of Snow Cover Area (SCA) in the Sutlej basin, using eight-day snow cover products derived from Moderate Resolution Imaging Spectroradiometer (MODIS) aboard Terra (MOD10A2) and Aqua (MYD10A2) with a spatial resolution of 500 m (version-6) for the period 2002–2020 (18 years). The cloud cover quantity is minimized by means of taking the combination of Terra and Aqua MODIS snow cover products. The analysis is done on a monthly, seasonal and annual time scale along with the elevation, slope and aspect SCA variation in the basin. The average SCA in Sutlej basin is 41.03% of the total basin area (52,553 km2). It is observed that the minimum annual average SCA is 33.26% in 2015–2016 and the maximum annual average SCA is 49.95% in 2014–2015. The trend analysis was performed for elevation, slope, aspect and the result doesn’t indicate any significant trend for the period 2002–2020 (18 years). The average inter-annual seasonal variability over the decade (2002–2011) is more as compared to other decade (2011–2020).
Spatio-Temporal Variability Analysis of Snow Cover in Sutlej Basin Using MODIS Snow Cover Data
Lecture Notes in Civil Engineering
Timbadiya, P. V. (editor) / Patel, P. L. (editor) / Singh, Vijay P. (editor) / Sharma, Priyank J. (editor) / Madhavi Supriya, V. (author) / Simhadri Rao, B. (author) / Sai Krishna, Ch. (author) / Venkat Raju, P. (author) / Venkateshwar Rao, V. (author)
International Conference on Hydraulics, Water Resources and Coastal Engineering ; 2021
2023-05-01
12 pages
Article/Chapter (Book)
Electronic Resource
English
Online Contents | 2002
|Estimating fractional snow cover from MODIS using the normalized difference snow index
Online Contents | 2004
|Spatio-Temporal Variation Characteristics of Snow Depth and Snow Cover Days over the Tibetan Plateau
DOAJ | 2021
|