Multi-resolution analysis based data mining approach to assess vegetation dynamics in Jharkhand using time series MODIS products

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 km² of Jharkhand state showed decreasing pattern, while 41,963 km² shows increasing pattern. Further, inter-annual variability in the vegetation cover indicated 22,393 km² and 64,746 km² 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.

Keywords:

• Multi-resolution analysis
• time series EVI
• vegetation dynamics
• wavelet transforms
• trend

Acknowledgments

The authors thank Director, NRSC for encouraging this work.

Disclosure statement

No potential conflict of interest was reported by the author(s).

WEB REFERENCES

1. http://en.wikipedia.org/wiki/Jharkhand. [accessed 2020 Mar 05].

2. http://bhuvan.nrsc.gov.in/gis/thematic/index.php. [accessed 2020 Mar 05].