| Literature DB >> 26687086 |
Usman Ali Naeem1, Muhammad Ali Shamim2, Naeem Ejaz3, Habib Ur Rehman4, Umer Mustafa5, Hashim Nisar Hashmi3, Abdul Razzaq Ghumman3.
Abstract
Glaciers are also known as solid reservoirs, and in this regard, Pakistan is a blessed country to have enriched glaciers. The change in glacial extent becomes very crucial for rivers whose discharges are associated with glacier melt. Even a little change in the glacial extent may bring a significant change in the resulting river flows. Considering climate change scenarios, many researchers have predicted future flows in such catchments. But in almost all such studies, the reduction in the glaciers is not normally based on any rational. Therefore, research is needed in order to estimate how glaciers are actually behaving under the change of temperature and precipitations to better estimate the future flows. For this purpose, Chitral watershed was considered as the study area. The seasonal change in the snow extent was estimated by using MODIS data for various years that helped to identify the month with minimum glacial extent. With the help of remote sensing, unsupervised classification was performed to estimate the glacier area in Chitral watershed. The results show a definite receding trend with respect to time in the glaciers of the region for the past decade.Keywords: Chitral watershed; Landsat data; MODIS data; Receding trend; Remote sensing; Unsupervised classification
Mesh:
Year: 2015 PMID: 26687086 DOI: 10.1007/s10661-015-5026-0
Source DB: PubMed Journal: Environ Monit Assess ISSN: 0167-6369 Impact factor: 2.513