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首页> 外文期刊>Physics and Chemistry of the Earth >Remotely sensed estimation of annual cotton production under different environmental conditions in Central Greece
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Remotely sensed estimation of annual cotton production under different environmental conditions in Central Greece

机译:中部不同环境条件下棉花年产量的遥感估算

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摘要

This study proposes an innovative approach for investigating the accumulated meteorological effects on cotton during the growing season. The quantification of the weather effects is based on the application of the Bhalme and Mooley drought index (BMDI) methodology on the vegetation condition index (VCI) extracted by NOAA/AVHRR data. The resulted Bhalme and Mooley vegetation condition index (BMVCI) is in the same scale as the Z-index, as proposed in the Palmer drought severity index (PDSI) for drought monitoring. The study area comprises the region of Thessaly, which is the most cotton productive area in Greece. Eighteen years of NOAA/AVHRR data are examined and processed with the BMVCI to examine the unfavorable conditions for cotton production. For the validation of BMVCI an empirical relationship between the cotton production of Thessaly and the BMVCI values is derived for the period 1982-1997. The methodology is validated for the two following years (1998 and 1999). The estimated cotton production approximates 5% and 2%, respectively, the real values for the validated years. The results confirm the usefulness of this integrated methodological approach as an effective tool to assess cotton production in Thessaly. (C) 2004 Elsevier Ltd. All rights reserved.
机译:这项研究提出了一种创新方法,用于调查生长期对棉花的累积气象影响。天气影响的量化是基于Bhalme和Mooley干旱指数(BMDI)方法在通过NOAA / AVHRR数据提取的植被状况指数(VCI)上的应用。最终的Bhalme和Mooley植被状况指数(BMVCI)与Z指数的范围相同,正如Palmer干旱严重度指数(PDSI)中提出的用于干旱监测的指数一样。研究区域包括色萨利地区,该地区是希腊棉花产量最高的地区。使用BMVCI检查并处理了18年的NOAA / AVHRR数据,以检查棉花生产的不利条件。为了验证BMVCI,得出了色萨利的棉花产量与1982-1997年期间BMVCI值之间的经验关系。随后两年(1998年和1999年)对该方法进行了验证。估计的棉花产量分别约为有效年份的实际值的5%和2%。结果证实了这种综合方法学方法作为评估色萨利棉花产量的有效工具的有效性。 (C)2004 Elsevier Ltd.保留所有权利。

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