Spatial pattern and hot spots of vegetation change in Uttar Pradesh during 2001 to 2021

Authors

  • Zubairul Islam Faculty at Department of Geography and Environmental Studies, CSSH, Adigrat University, Tigray, ETHIOPIA

Keywords:

NDVI, Getis-Ord Gi* statistic, Moran's Index

Abstract

This study focuses on analyzing the spatial pattern and hot spots of vegetation change in Uttar Pradesh from 2001 to 2021. The analysis was conducted using spatial autocorrelation and hot spot analysis techniques. The data source used for the study was the "MOD13C2_006_CMG_0_05_Deg_Monthly_NDVI" dataset. The spatial autocorrelation analysis employed Moran's Index to examine the spatial clustering of vegetation change. The results indicated a positive spatial autocorrelation, suggesting the presence of clustered patterns in the vegetation change across the study area. The hot spot analysis, utilizing the Getis-Ord Gi* statistic, identified districts as hot spots and cold spots of vegetation change. These areas exhibited significantly higher or lower rates of vegetation change compared to neighbouring regions.

The findings of this study provide valuable insights into the spatial dynamics of vegetation cover in Uttar Pradesh. The identification of hot spots and cold spots helps in understanding the areas with the highest rates of vegetation change and highlights the need for targeted conservation and management efforts. These results can inform policymakers, land managers, and conservationists in developing strategies for sustainable land use practices and ecosystem preservation.

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Published

30-06-2023

Issue

Section

Articles

How to Cite

Islam, Z. (2023). Spatial pattern and hot spots of vegetation change in Uttar Pradesh during 2001 to 2021. G-Journal of Environmental Science and Technology, 11(1), 1-4. https://gjestenv.com/index.php/gjest/article/view/128

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