首页> 外文会议>International Society for Photogrammetry and Remote Sensing Ahmedabad Workshop >ATMOSPHERIC METHANE CONCENTRATION PATTERN OVER INDIA IN RELATION TO VEGETATION DYNAMICS- AN ANALYSIS USING ENVISAT-SCIAMACHY AND SPOT-VEGETATION NDVI DATA
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ATMOSPHERIC METHANE CONCENTRATION PATTERN OVER INDIA IN RELATION TO VEGETATION DYNAMICS- AN ANALYSIS USING ENVISAT-SCIAMACHY AND SPOT-VEGETATION NDVI DATA

机译:对印度的大气甲烷集中模式与植被动态相关 - 使用envisat-sciamachy和斑点植被NDVI数据的分析

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This paper highlights the spatial and temporal variability of atmospheric columnar methane (CH4) concentration in the Kharif season over India and its correlation with the terrestrial vegetation dynamics. ENVISAT-SCIAMACHY product (0.5 deg X 0.5 deg) was used to analyse the atmospheric methane concentration. Weekly data covering the Kharif season (May to October) for two consecutive years (2004 and 2005) were used to compute monthly and seasonal concentration. SPOT-VEGETATION NDVI product for the same period was used to correlate the NDVI with CH4 concentration. Analysis showed that mean monthly methane concentration during the Kharif season varied from 1704 ppbv to 1780 ppbv with the lowest value in May and the highest value in September month. Correspondingly, mean NDVI varied from 0.31 (May) to 0.53 (September). Analysis of correlation between methane concentration and NDVI values at 0.5 deg X 0.5 deg grid level over India showed significant positive correlation (r velence 0.76). 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 plain contributed significantly to the positive correlation. This was attributed to the rice which is grown as a predominant crop during this period. The CH4 concentration pattern matched well with growth pattern of rice with the highest concentration coinciding with the peak growth of the crop in September. Characteristically low correlation was observed (r < 0.2) in deserts of Rajasthan and forested Himalayan ecosystem. This paper highlights the synergistic use of different satellite based data in understanding the dynamics of atmospheric methane concentration in relation to vegetation as a source of emission.
机译:本文重点大气柱甲烷(CH4)的浓度在秋收季节在印度及其与地面植被动态相关性的空间和时间上的变化。 ENVISAT-SCIAMACHY产物(0.5度X 0.5度)被用于分析大气甲烷浓度。涵盖了秋收季节(5月至10月)连续两年(2004年和2005年)每周数据被用来计算月和季浓度。 SPOT-植被NDVI产物同期被用来与CH4浓度NDVI的关联。分析表明,在秋收季节从1704个ppbv的变化到1780 ppbv的较5月份的最低值,并在9月当月最高值的月平均甲烷浓度。相应地,平均NDVI为0.31(5月)至0.53(月)变化。在整个印度0.5度X 0.5度格网等级甲烷浓度NDVI和值之间的相关性的分析表明显著正相关(r Velence的0.76)。使用土地覆盖信息进一步分析显示在天然植被区域和在农业区的高相关特性低的相关性。网格,在印度支那恒河平原尤其掉落到正相关显著作出了贡献。这是由于其生长为在此期间一个主要作物的水稻。具有最高浓度与农作物9月份增长高峰恰逢水稻生长模式匹配良好的CH4浓度模式。特征性的低的相关性,观察到在拉贾斯坦邦沙漠(R <0.2)和森林生态系统喜马拉雅。本文强调理解大气甲烷浓度的动力学相对于植被作为发射源的协同使用不同的基于卫星的数据。

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