Retreating Glacier Dynamics Over the Last Quarter of a Century in Uttarakhand Region Using Optical Sensor Time Series Da
The Uttarakhand glaciers have been melting over the last half of a century. Local climatic variation has influenced the glacier retreat but these phenomena do not appear to affect the glacier health over long period of time. The increased availability of
- PDF / 892,154 Bytes
- 19 Pages / 439.37 x 666.142 pts Page_size
- 96 Downloads / 154 Views
Abstract The Uttarakhand glaciers have been melting over the last half of a century. Local climatic variation has influenced the glacier retreat but these phenomena do not appear to affect the glacier health over long period of time. The increased availability of geospatial technology, global coverage and very low financial costs allows for fast, semi-automated, and cost-effective assessment of changes in glacier parameters over large areas. Geospatial technology allow for regular monitoring of the properties of Uttarakhand glaciers such as terminus position and ice extent from which glacier mass balance can be inferred. Geospatial technology is the only technique that can help to determine it using different platform like spaceborne and air-borne sensors. The basic semantic characterization of geospatial technology is primarily used for spectral characterization in Uttarakhand glacial and depicting snow and ice top. Semi-automated geospatial technique helps in
H. Kalita Department of Science & Technology, Haryana Space Applications Centre (HARSAC), Hisar, India T. Ghosh Punjab Remote Sensing Centre, Ludhiyana, India M. Rani Department of Geography, Kumaun University, Nainital, Uttarakhand, India J. S. Rawat Remote Sensing and GIS, Kumaun University, Almora, Uttarakhand, India R. K. Singh Department of Natural Resources, TERI School of Advanced Studies, New Delhi, India S. K. Singh Department of Soil Science and Agricultural Chemistry, College of Agriculture, Rani Lakshmi Bai Central Agricultural University, Jhansi, Uttar Pradesh, India P. Kumar (*) College of Horticulture and Forestry, Rani Lakshmi Bai Central Agricultural University, Jhansi, Uttar Pradesh, India © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021 P. Kumar et al. (eds.), Remote Sensing and GIScience, https://doi.org/10.1007/978-3-030-55092-9_5
75
76
H. Kalita et al.
processing all data collected from on-board and off-board systems. This research analyzed the Normalized Difference Snow Index (NDSI) for showing snow cover delineation area and Normalized Difference Vegetation Index (NDVI) for vegetation cover delineation. The study aim to refer the changes from 1994 to 2015 and detected for snow and vegetation changed over quarter of the century. The study will helps to determine glacier dynamics and its kinetic change rate and also useful to global level studies and snow change detection. Keywords Glacier dynamics · Climate change · NDSI · NDVI
1 Introduction One of the largest collections of glaciers of 9600 glaciers cover 33,000 km2 (Dyurgerov and Meier 1997) in the Indian Himalayas (Raina and Srivastava 2008). The Indian Himalayan mountain has experienced widespread accelerated recession (area and length), detachment, fragmentation, and mass loss with above average warming over the last quarter of century (Shukla and Qadir 2016; Haritashya et al. 2006; Bhutiyani 2016; Kumar et al. 2008; Raina 2004; Ratan Kar et al. 2002; Kulkarni and Karyakarte 2014; Schickhoff et al. 2016; Bolch
Data Loading...
