Arid
DOI10.1007/s13198-019-00883-w
Geospatially extracting snow and ice cover distribution in the cold arid zone of India
Gaur, Mahesh Kumar; Goyal, R. K.; Raghuvanshi, M. S.; Bhatt, R. K.; Pandian, M.; Mishra, Ashish; Sheikh, Suraj Ismail
通讯作者Gaur, MK
来源期刊INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT
ISSN0975-6809
EISSN0976-4348
出版年2020
卷号11期号:SUPPL 1页码:84-99
英文摘要The snow cover is greatly diverse in distribution due to landscape, slope, duration, wind, etc. However, the snow build-up and spatial patterns play an important role in the hydrological cycle. These characteristics can be determined through a number of weather station which widely represents the entire glacier and hilly region of Leh-Ladakh to support understanding of the spatial and temporal distribution of snow cover. Remotely sensed data overcome these natural and other anthropogenic limitations that hinder data collection. Snow and ice cover has a distinct spectral reflectance from the land surfaces, therefore, shortwave infrared (SWIR-1) bands were used to discriminate these. Snow was extracted by applying Normalized Difference Snow Index and Normalized Difference Snow Thermal Index. In this study, snow and ice of different classes like fresh snow, dirty snow, and blue ice from the optical images were interpreted and Landsat 8 OLI and Sentinel-2 images were used to extract both spatial and temporal aspects. Temporal changes of snow and ice in the year of 2015-2017 shows a decline in snow cover area. The accuracy assessment of supervised classification using maximum likelihood and support vector machine accuracy with the Sentinel-2 optical image was compared and it was 94.40%. The landsat-8 image depicted 80.88% accuracy of snow and ice.
英文关键词Remote sensing NDSI NDSTI Extraction Snow distribution Ice and avalanche
类型Article
语种英语
收录类别ESCI
WOS记录号WOS:000538251700008
WOS关键词REFLECTANCE MEASUREMENTS ; SPECTRAL REFLECTANCE ; CLASSIFICATION ; RESOLUTION ; INVENTORY ; AGREEMENT ; MODEL
WOS类目Engineering, Multidisciplinary
WOS研究方向Engineering
来源机构ICAR Central Arid Zone Research Institute
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/334400
作者单位[Gaur, Mahesh Kumar; Goyal, R. K.; Raghuvanshi, M. S.; Bhatt, R. K.; Pandian, M.; Mishra, Ashish; Sheikh, Suraj Ismail] ICAR Cent Arid Zone Res Inst, Jodhpur, Rajasthan, India
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GB/T 7714
Gaur, Mahesh Kumar,Goyal, R. K.,Raghuvanshi, M. S.,et al. Geospatially extracting snow and ice cover distribution in the cold arid zone of India[J]. ICAR Central Arid Zone Research Institute,2020,11(SUPPL 1):84-99.
APA Gaur, Mahesh Kumar.,Goyal, R. K..,Raghuvanshi, M. S..,Bhatt, R. K..,Pandian, M..,...&Sheikh, Suraj Ismail.(2020).Geospatially extracting snow and ice cover distribution in the cold arid zone of India.INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT,11(SUPPL 1),84-99.
MLA Gaur, Mahesh Kumar,et al."Geospatially extracting snow and ice cover distribution in the cold arid zone of India".INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT 11.SUPPL 1(2020):84-99.
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