Land use/land cover change assessment of Mohana watershed (Far-Western Nepal) using GIS and remote sensing

Suraj Prasad Bist 1 , Rabindra Adhikari 2 , Raju Raj Regmi 3 , Rajan Subedi 4

1   Institute of Forestry, Pokhara Campus, Department of Watershed Management and Environmental Science, Pokhara, NEPAL
2   Institute of Forestry, Pokhara Campus, Department of Watershed Management and Environmental Science, Pokhara, NEPAL
3   Institute of Forestry, Pokhara Campus, Department of Watershed Management and Environmental Science, Pokhara, NEPAL
4   Institute of Forestry, Pokhara Campus, Department of Watershed Management and Environmental Science, Pokhara, NEPAL

✉ Coressponding author: See PDF.

doi https://doi.org/10.26832/24566632.2021.060309

doi

Abstract

The present study was conducted in the Mohana watershed of Far-western Nepal to assess land use land cover change. The study has used ArcGIS and three Landsat images - Landsat TM (1999), Landsat ETM+ (2009), and Landsat OLI (2019) – to analyze land use the land cover change of the watershed. The change matrix technique was used for change detection analysis. The study area was classified into five classes; forest, agriculture, built-up, water bodies, and barren lands. The study has found that among the five identified classes forest and build-up increased positively from 45.40 % to 51.51 % - forest cover and 11.26 % to 19. 85 % - build-up respectively. Similarly, agricultural land and water bodies initially increased but after 2009 both land cover areas decreased to 23.79 % and 0.73 % from 31.38 % and 0.97 % in 2009 respectively. Barren land decreased from 15.37% to 4.12% over the last 20 years. This study might support land-use planners and policymakers to adopt the best suitable land use management option for the Mohana watershed.

Keywords:

Change matrix, GIS and Remote sensing, Landsat, LULC, Watershed

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Published

2021-09-25

How to Cite

Bist, S. P., Adhikari, R., Regmi, R. R., & Subedi, R. (2021). Land use/land cover change assessment of Mohana watershed (Far-Western Nepal) using GIS and remote sensing. Archives of Agriculture and Environmental Science, 6(3), 320-328. https://doi.org/10.26832/24566632.2021.060309

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Research Articles