Spatio-Temporal Land Use Land Cover Dynamics in Ningli Watershed of Jehlum Catchment in Kashmir Valley, North Western Himalaya Using Remote Sensing & Gis
Syed Kaiser Bukhari
Syed Kaiser Bukhari, Department of Civil Engineering, National Institute of Technology Srinagar,
Manuscript received on 07 March 2019 | Revised Manuscript received on 20 March 2019 | Manuscript published on 30 March 2019 | PP: 850-857 | Volume-8 Issue-5, March 2019 | Retrieval Number: E3196038519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Accurate measurement of landuse/landcover patterns are required for evaluations, development and managing of natural resources. An attempt was carried out to analyze the change detection patterns of landuse/landcover in Ningli watershed of Kashmir Basin. The study employed supervised classification-maximum likelihood algorithm, using multispectral satellite data, to carry out the landuse/landcover changes from 1992 to 2017. Eight landuse/landcover classes were demarcated during classification process. The results revealed that horticulture sector showed a prompt increase from 31.24 percent to 46.40 percent i.e., 15.16 percent increase between 1992 and 2017 while agriculture sector showedrapid decrease from 25.31 percent in 1992 to about 10.28 percent in 2017 i.e., 15.03 percent decrease between 1992 to 2017.Similarly settlement increased 3.02 percent during the investigation period. There was not much significant changes in spatial extent of forests. The overall scenario of the study area reveals serious risk to watershed resourcesdue to landuse / landcover changes. Hence proper mitigation measures are required for better management and development of the study area.
Keyword: Land-Use and Land-Cover, Remote Sensing, GIS, Ningli Watershed, Change Detection.
Scope of the Article: Foundations Dynamics