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Analysis of Terrestrial Vegetation Trends and Correlation between Vegetation Indices and Climatic Factors | OMICS International| Abstract
ISSN: 2157-7617

Journal of Earth Science & Climatic Change
Open Access

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  • Research Article   
  • J Earth Sci Clim Change 2019, Vol 10(3): 511

Analysis of Terrestrial Vegetation Trends and Correlation between Vegetation Indices and Climatic Factors

Dhanapriya M* and Kumaraperumal R
Department of Remote Sensing and GIS, Tamil Nadu Agricultural University, Tamil Nadu, India
*Corresponding Author : Dhanapriya M, Research Scholar, Department of Remote Sensing and GIS, Tamil Nadu Agricultural University, Tamil Nadu, India, Tel: 0422 661 1200, Email: dhanasoul@gmail.com

Received Date: Jan 23, 2019 / Accepted Date: Mar 05, 2019 / Published Date: Mar 14, 2019

Abstract

The outcome of decadal seasonal and annual trend analysis for NDVI and EVI under various land cover classes showed both negative and positive trends. Irrespective of land cover classes, NDVI and EVI during Kharif season showed a greening (positive) trend in vegetation growth whereas during Rabi season it is observed to have browning (negative) trend. The positive greening trend during the Kharif season might be due to the increased vegetation growth and productivity during the period. The declining vegetation (browning) trend in Rabi season might be due to changes in a crop choice or disruption of cropping lands. Decadal annual NDVI and EVI witnesses the positive greening trend except in some parts of Rajkot, Dwarka, Porbandar, Amreli and Jamnagar districts where browning in nature. During decadal Kharif season, weak to moderate positive correlation was noticed between LST and vegetation indices whereas during Rabi season it showed strong to weak negative correlation. It could be observed that about 70 percent of total pixels in all the land cover classes during Kharif season has moderate negative correlation between vegetation indices and net radiation. In Rabi season, the weak negative or positive correlation and moderately positive correlation classes occupies the major percentage of area. The correlation study between vegetation indices and TRMM rainfall showed a weak negative or positive correlation for both the seasons and annual duration which indicates that the rainfall is not a key factor for the vegetation growth in Saurashtra region. The historical trend derived from the time series analysis paved way in identifying the causes for degradation of vegetation coverage.

Keywords: Spatio-temporal variation; Seasonal trends; Correlation

Citation: Dhanapriya M, Kumaraperumal R (2019) Analysis of Terrestrial Vegetation Trends and Correlation between Vegetation Indices and Climatic Factors. J Earth Sci Clim Change 10:511.

Copyright: © 2019 Dhanapriya M, 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.

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