Associative study of NDVI and precipitation in Indian region during monsoon season using satellite and ground measurements [2000–2013]

Manu Mehta, S. Dubey
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引用次数: 2

Abstract

Natural vegetation cover and crop yield vary spatially and temporally in a diverse manner. Understanding this variation requires a robust analysis of important climatic factors such as rainfall, temperature, sunshine hours etc., along with LULC dynamics. In this study, NDVI has been used as an indicator of vegetative greenness and productivity. Based on 0.5°×0.5° spatial resolution data of NDVI obtained from MISR, correlation between NDVI and average seasonal precipitation has been analyzed. The precipitation data used is obtained from two sources, TRMM 3B42-V7 and IMD gridded data, both at spatial resolution of 0.25°×0.25°. The TRMM and IMD data have also been mutually correlated. Data was acquired for the months of June, July, August and September (JJAS) i.e. monsoon season for 14 years, 2000 to 2013. The correlation coefficients thus obtained are reported significant at a confidence level of 99% (p<;0.001).
基于卫星和地面测量的季风季节印度地区NDVI与降水的关联研究[2000-2013]
自然植被覆盖和作物产量在时空上的变化是多样的。理解这种变化需要对重要的气候因素进行强有力的分析,如降雨、温度、日照时数等,以及LULC动态。在本研究中,NDVI被用作植被绿度和生产力的指标。利用MISR获得的0.5°×0.5°空间分辨率NDVI数据,分析了NDVI与季节平均降水的相关性。使用的降水数据来自两个来源,TRMM 3B42-V7和IMD网格数据,空间分辨率均为0.25°×0.25°。TRMM和IMD数据也相互相关。数据采集了2000年至2013年14年的6月、7月、8月和9月(JJAS),即季风季节。由此获得的相关系数在99%的置信水平上具有显著性(p< 0.001)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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