NDLI: Analysis of Seasonal Variability of Vegetation and Methane Concentration over India using SPOT-VEGETATION and ENVISAT-SCIAMACHY Data

Content Provider	Springer Nature Link
Author	Goroshi, Sheshakumar K. Singh, R. P. Panigrahy, S. Parihar, J. S.
Copyright Year	2011
Abstract	This paper highlights the spatial and temporal variability of atmospheric columnar methane (CH$_{4}$) concentration over India and its correlation with the terrestrial vegetation dynamics. SCanning IMaging Absorption spectrometer for Atmospheric CHartographY (SCIAMACHY) on board ENVIronmental SATellite (ENVISAT) data product (0.5° × 0.5°) was used to analyze the atmospheric CH$_{4}$ concentration. Satellite Pour l'Observation de la Terre (SPOT)-VEGETATION sensor’s Normalized Difference Vegetation Index (NDVI) product, aggregated at 0.5° × 0.5° grid level for the same period (2004 and 2005), was used to correlate the with CH$_{4}$ concentration. Analysis showed mean monthly CH$_{4}$ concentration during the Kharif season varied from 1,704 parts per billion volume (ppbv) to 1,780 ppbv with the lowest value in May and the highest value in September. Correspondingly, mean NDVI varied from 0.28 (May) to 0.53 (September). Analysis of correlation between CH$_{4}$ concentration and NDVI values over India showed positive correlation (r = 0.76; n = 6) in Kharif season. Further analysis using land cover information showed characteristic low correlation in natural vegetation region and high correlation in agricultural area. Grids, particularly falling in the Indo-Gangetic Plains showed positive correlation. This could be attributed to the rice crop which is grown as a predominant crop during this period. The CH$_{4}$ concentration pattern matched well with growth pattern of rice with the highest concentration coinciding with the peak growth period of crop in the September. Characteristically low correlation was observed (r = 0.1; n = 6) in deserts of Rajasthan and forested Himalayan ecosystem. Thus, the paper emphasizes the synergistic use of different satellite based data in understanding the variability of atmospheric CH$_{4}$ concentration in relation to vegetation.
Starting Page	315
Ending Page	321
Page Count	7
File Format	PDF
ISSN	0255660X
Journal	Journal of the Indian Society of Remote Sensing
Volume Number	39
Issue Number	3
e-ISSN	09743006
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-06-03
Publisher Place	India
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Remote sensing Methane Vegetation SCIAMACHY NDVI CH$_{4}$ Correlation Kharif Earth Sciences Remote Sensing/Photogrammetry
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Geography, Planning and Development

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