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首页> 外文期刊>Arid Land Research and Management >Evaluation of aridity indices using SPOT normalized difference vegetation index values calculated over different time frames on iberian rain-fed arable land.
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Evaluation of aridity indices using SPOT normalized difference vegetation index values calculated over different time frames on iberian rain-fed arable land.

机译:使用SPOT归一化植被指数值在不同时间框架上计算的干旱指数评估干旱指数,该指数是在利比亚雨养耕地上进行。

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摘要

The objective of this study was to find the best-performing aridity index and time-frame in the Iberian Peninsula characterizing the effect of dryness on agricultural production. To achieve this goal time-series of 5 aridity indices for 1998 October-2009 December time-period were calculated on a 25x25 km grid, and the closest relationship with plant biomass was determined. Plant biomass was represented by the SPOT-VEGETATION Normalized Difference Vegetation Index (NDVI) satellite data masked out for rain-fed arable land for the period between 1998 and 2009, and also by official yield statistics of Spain and Portugal between 1999 and 2009. Aridity indices calculated for time frames matching the entire vegetative period resulted in the highest correlation coefficients with NDVI and with the crop yield. There was a difference between the two time frames covering twelve months. In contrast with the calendar year, using the hydrological year (1 October-30 September) ensured a very strong correlation between NDVI data and most aridity indices, with UNEP and Water Deficit aridity indices outperforming the others. Among the shorter time frames of April-October, January-October, and October-June, the latter provided very strong correlation between vegetation, UNEP and Water Deficit indices surpassing Budyko, De Martonne, and Thornthwaite aridity indices.
机译:这项研究的目的是在伊比利亚半岛找到表现最佳的干旱指数和时间框架,以表征干旱对农业生产的影响。为了实现此目标,在25x25 km的网格上计算了1998年10月至2009年12月的5个干旱指数的时间序列,并确定了与植物生物量的最紧密关系。植物生物量由1998年至2009年期间为雨养耕地掩盖的SPOT-VEGETATION归一化植被指数(NDVI)卫星数据,以及1999年至2009年西班牙和葡萄牙的官方产量统计数据表示。为与整个营养期匹配的时间框架计算的指数导致与NDVI和作物产量的相关系数最高。涵盖十二个月的两个时间表之间存在差异。与日历年相反,使用水文年(10月1日至9月30日)可确保NDVI数据与大多数干旱指数之间具有非常强的相关性,而环境署和缺水干旱指数则优于其他年份。在4月至10月,1月至10月和10月至6月的较短时间范围内,后者提供了植被之间的非常强的相关性,环境署和缺水指数超过了Budyko,De Martonne和Thornthwaite干旱指数。

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