Monitoring Precipitation Patterns and their Direct Impacts on Vegetation and Water Indices for Mangura Nala Watershed using Geospatial Approaches in Bihar State, India

Rashmi Bala  lowast; M A Mohammed Aslam; N Harishnaika; M Arpitha

doi:10.53989/bu.ga.v14i2.25.86

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Geographical analysis

DOI: 10.53989/bu.ga.v14i2.25.86

Year: 2025, Volume: 14, Issue: 2, Pages: 14-21

Original Article

Monitoring Precipitation Patterns and their Direct Impacts on Vegetation and Water Indices for Mangura Nala Watershed using Geospatial Approaches in Bihar State, India

Rashmi Bala^1∗, M A Mohammed-Aslam¹, N Harishnaika², M Arpitha²

¹Department of Geology, Central University of Karnataka, Kalaburagi, Karnataka, India
²Department of Applied Geology, Kuvempu University, Karnataka, India

*Corresponding Author
Email: [email protected]

Received Date:26 May 2025, Accepted Date:10 August 2025

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Among the several impacts of climate change, variation in global and regional precipitation patterns is evident in the current scenario. Spatiotemporal alterations, including a rise in frequency and severity of extreme weather events, are manifested in the occurrence of wide-scale droughts, floods, and heavy rainfall. Since climate change is inevitable, studying and monitoring shifts in precipitation patterns can help us cope with the adverse effects of climate change. To understand this effect at a regional scale, a study has been conducted on the Mangura Nala watershed to monitor the precipitation pattern and their impact on vegetation and water indices. In this evaluation process, a 2013-2023 gridded precipitation dataset, MODIS satellite data sets, and Landsat-8 satellite data have been incorporated to examine precipitation, vegetation, and water body trends in the study region. The index called Normalized Difference Water Index (NDWI) has been used to fathom the distribution and condition of water bodies in the study region, while the Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) indices were used to monitor the vegetation conditions in the region.

Keywords: NDWI, EVI, NDVI, Precipitation, Mangura Nala Watershed

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© 2025 Bala et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Published By Bangalore University, Bengaluru, Karnataka