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- Bhardwaj, Anshuman, et al.
(författare)
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Demarcation of potential avalanche sites using remote sensing and ground observations : A case study of Gangotri glacier
- 2014
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Ingår i: Geocarto International. - : Informa UK Limited. - 1010-6049 .- 1752-0762. ; 29:5, s. 520-535
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Tidskriftsartikel (refereegranskat)abstract
- This study demonstrates the effectiveness of remote sensing and analytical hierarchy process for avalanche hazard mapping. The layers incorporated in this study were of slope, aspect, profile curvature, ground cover and elevation. The accuracy of output was determined using the registered avalanche sites based on ground observations and field-based modelling techniques. 93.35% of avalanche-affected areas came under maximum and moderate hazard zones, thus proving the effectiveness of this technique for Gangotri glacier basin. A parallel study was done to observe the change in the results, if any, by using high-resolution DEM and Cartosat-1 imagery. Similar methodology was adopted and the outcome was having significant improvement over the previous result as 98.8% of the preregistered avalanche area falling within maximum and moderate hazard zones
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| 2. |
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| 3. |
- Singh, Mritunjay Kumar, et al.
(författare)
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High resolution DEM generation for complex snow covered Indian Himalayan Region using ADS80 aerial push-broom camera : a first time attemp7
- 2015
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Ingår i: Arabian Journal of Geosciences. - : Springer Science and Business Media LLC. - 1866-7511 .- 1866-7538. ; 8:3, s. 1-12
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Tidskriftsartikel (refereegranskat)abstract
- Updated and Accurate Digital Elevation Model (DEM) of snow covered and glaciated mountainous area is essential for many applications such as avalanche hazard and numerical modelling of mass movements or mapping of terrain changes. The best high resolution terrain product available for Himalayan region is the DEM, with a spatial resolution of 10 m, generated using Cartosat-1 stereo ortho-kit data. Even this spatial resolution is insufficient for many applications like avalanche hazard mapping or forecasting in complex mountainous terrain. This study reports the process of high spatial resolution (1 m) DEM generation for Manali and nearby areas using digital aerial photogrammetric survey data of 40 cm Ground Sampling Distance (GSD), captured through airborne ADS80 push-broom camera for the first time in Indian Himalayas. This DEM was also evaluated with Differential Global Positioning System (DGPS) points for accuracy assessment. The ADS80 DEM gave Root Mean Square Error (RMSE) of ∼<1 m and Linear Error, at 90 % confidence interval (LE 90) of 1.36 m in comparison with the DGPS points.
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| 4. |
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| 5. |
- Snehmani, Snehmani, et al.
(författare)
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Modelling the hypsometric seasonal snow cover using meteorological parameters
- 2015
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Ingår i: Journal of Spatial Science. - : Informa UK Limited. - 1449-8596 .- 1836-5655. ; 60:1, s. 51-64
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Tidskriftsartikel (refereegranskat)abstract
- This study established a decadal correlation between meteorological observations (temperature and snowfall) and satellite-derived seasonal snow cover for a glacier catchment. The study area was classified into 10 elevation zones. The time period for considering climatic variables was from the start of the significant fresh snowfall of the new season to the date of satellite image acquisition. The snowfall inputs from the five meteorological stations at different altitudes were interpolated for the entire catchment using a discretised thin-plate spline technique. A local temperature lapse rate for this specific time period was calculated. It was applied throughout the catchment for interpolating the temperature, which was further used to refine the interpolated snowfall. Such a hypsometric approach along with third-order polynomial curve fitting (R2=0.998) finally gave an equation for estimating percent snow-covered area for different elevation zones with a good accuracy and very low average RMSE (Root Mean Square Error) of 3.16 percent.
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| 6. |
- Snehmani, Snehmani, et al.
(författare)
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Monitoring the status of Siachen glacier using multi temporal remote sensing approach
- 2014
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Ingår i: Geostatistical and geospatial approaches for the characterization of natural resources in the environment : challenges, processes and strategies. - New Delhi : Capital Publishing Company. - 9789381891254 ; , s. 513-515
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Konferensbidrag (refereegranskat)abstract
- The temporal monitoringof any glacier is important for observing the effects of changing climate. This study reports the decadal changes in Siachen glacier. Analysis was carried out on decadal basis by processing and analyzing Landsat images from 1978 to 2013. Images were coregistered within Root Mean Square Error (RMSE) limit of 0.5 pixel. An object based classification approach was adopted to perform temporal semi-automated areal change detection. The glacier inventory of 1978 showed around 74976 ha of glacier area which further decreased by around 1302 ha in 2013 with a shift of 1.5 km in the snout position.
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