Abstract:
The concerns about global warming and climate change
have produced widespread scientific interest in the response
of glaciers. One of the important indicators of climate
change is glacier change. The glaciers in Indian Himalaya
have been retreating which can have several effects.
Therefore, there is a need of precise and timely mapping and
monitoring of the glacier changes. The advent of high
spatial resolution images that provide more detailed
information has now allowed analyzing glacier changes at a
local level. However, change detection using high spatial
resolution images faces additional challenges due to, for
example, small spurious changes, etc. Fortunately, these
effects are reduced by using object-based approaches rather
than pixel-based approaches. In this study, object-based
approach has been explored to detect the glacier surface
changes from high spatial resolution images of WorldView2 and Linear Imaging Self-Scanning System (LISS) IV
which has not been done till date in Indian Himalaya.
