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Greening trends of the Indian landmass

机译:印度陆地的绿化趋势

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Spatio-temporal patterns of the vegetation during the temporal span of 25 years (1982-2006) using GIMMS data was analyzed to explore the vegetation trend on the Indian landmass. To understand the interannual trends in vegetation activity, the pixel-specific Area under the Annual NDVI Time-series (AANT) was computed. The results indicated that the agricultural practices played an important role in influencing the NDVI greening trends over some regions. In order to analyze the trends for different agro-ecological zones of India, we used the Indian Meteorological Department sub-divisional map to perform the data analysis. Highest significant positive trend was found in agro-ecological zones of Marathwada (r2 = 0.85*), Vidharba ( r2 = 0.64*), Madhya Maharashtra ( r2 = 0.85*), Rayalseema( r2 = 0.746*), North Interior Karanataka( r2 = 0.61*), Gujarat ( r2 = 0.63*), East Rajasthan ( r2 = 0.65*), and West Madhya Pradesh( r2 = 0.62*). To explore the temporal trends that are season-specific, Areas under theSeasonal NDVI Trajectories was also calculated. Greening trend was found to be season specific and was mainly related to agriculture practices. The region which showed significant positive trend coincides with the region where area under irrigated agriculture increased during this period. Agriculture practices involving irrigation and fertilization may have contributed to the increased NDVI in these regions (*significant P<0.05).
机译:分析了使用GIMMS数据的25年(1982-2006)在25岁(1982-2006)期间植被的时空模式进行了分析,探讨印度陆地的植被趋势。要了解植被活动中的年际趋势,计算了年度NDVI时间序列(AANT)的像素特定区域。结果表明,农业实践在影响一些地区影响NDVI绿化趋势方面发挥着重要作用。为了分析印度不同农业生态区的趋势,我们使用印度气象部门分区地图进行数据分析。 Marathrba(R2 = 0.85 *),Madhya Maharashtra(R2 = 0.85 *),Rayalseema(R2 = 0.746 *),Rayalseema(R2 = 0.746 *),北内部Karanataka(R2 = 0.61 *),Gujarat(R2 = 0.63 *),东拉贾斯坦(R2 = 0.65 *),西部Madhya Pradesh(R2 = 0.62 *)。为了探讨特定于季节的时间趋势,还计算了TheAlemal NDVI轨迹的区域。发现绿化趋势是季节特定的,主要与农业实践有关。表现出显着正趋势的地区与灌溉农业下的区域的地区在此期间增加。涉及灌溉和施肥的农业实践可能导致这些地区的NDVI增加(*显着的P <0.05)。

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