Multi-resolution analysis based data mining approach to assess vegetation dynamics in Jharkhand using time series MODIS products. Issue 25 (30th December 2021)

• Record Type: Journal Article
• Authors: Priyadarshi, Niraj; Chowdary, V. M.; Chandrasekar, K.; Chockalingam, Jeganathan; Bandyopadhyay, Soumya; Srivastava, Y. K.; Dutta, D.; Neeti, Neeti; Jha, Chandra Shekhar
• Is Part Of: Geocarto international. Volume 37:Issue 25(2023)
• Page Start: 9767
• Page End: 9787
• Publication Date: 2021-12-30
• Subjects: Multi-resolution analysis -- time series EVI -- vegetation dynamics -- wavelet transforms -- trend; Remote sensing -- Periodicals; Geographic information systems -- Periodicals; Geology -- Periodicals; Cartography -- Periodicals; 621.3678
• DOI: 10.1080/10106049.2021.2024610
• Languages: English
• ISSNs: 1010-6049

Abstract

Abstract: Time series analysis of Enhanced Vegetation Index (EVI) data using the Multi-Resolution Analysis (MRA) based Wavelet Transforms (WT) provides capacity to characterize the inter-annual and intra-annual vegetation variability on the ground at different scales and resolutions. The MRA was performed to decompose time series EVI at level 5 in order to analyze intra-annual, inter-annual trend and human-induced activities in Jharkhand state, India during the period 2001–2018. The Mann-Kendall test and Sen's slope were performed to identify the trend and magnitude in the vegetation dynamics, respectively. Vegetation dynamics at the intra-annual (seasonality) scale indicated 43, 941 km 2 of Jharkhand state showed decreasing pattern, while 41, 963 km 2 shows increasing pattern. Further, inter-annual variability in the vegetation cover indicated 22, 393 km 2 and 64, 746 km 2 as decreasing and increasing trends, respectively. The results from this study can serve as guidelines for policy makers for monitoring and framing effective and sustainable strategies for conservation of green cover in Jharkhand state.