ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume IV-3
https://doi.org/10.5194/isprs-annals-IV-3-173-2018
https://doi.org/10.5194/isprs-annals-IV-3-173-2018
23 Apr 2018
 | 23 Apr 2018

IKH TURGEN MOUNTAIN GLACIER CHANGE AND 3D SURFACE EXTENTS PREDICTION USING LONG TERM LANDSAT IMAGE AND CLIMATE DATA

Elbegjargal Nasanbat, Erdenetogtokh Erdenebat, Bolorchuluun Chogsom, Ochirkhuyag Lkhamjav, and Lkhagvadorj Nanzad

Keywords: Landsat imagery, glacier, 2D, 3D area, Prediction, climate, decision-tree

Abstract. The glacier is most important the freshwater resources and indicator of the climate change. The researchers noted that during last decades the glacier is melting due to global warming. The study calculates a spatial distribution of protentional change of glacier coverage in the Ikh Turgen mountain of Western Mongolia, and it integrates long-term climate data and satellite datasets. Therefore, in this experiment has tried to estimation three-dimensional surface area of the glacier. For this purpose, Normalized difference snow index (NDSI) was applied to decision tree approach, using Landsat MSS, TM, ETM+ and LC8 imagery for 1975–2016, a surface and slope for digital elevation model, precipitation and air temperature historical data of meteorological station. The potential volume area significantly changed glacier cover of the Ikh Turgen Mountain, and the area affected by highly variable precipitation and air temperature regimes. Between 1972 and 2016, a potential area of glacier area has been decreased in Ikh Turgen mountain region.