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A re-examination of perpendicular drought indices over Central and South-West Asia

机译:对中亚和西南亚垂直干旱指数的重新检验

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Drought monitoring models and products assist decision makers in drought planning, preparation, and mitigation, all of which can play a role in reducing drought impacts. In this study, the performance of two newly developed remote sensing-based drought indices, the perpendicular drought index (PDI) and modified perpendicular drought index (MPDI), are further explored for regional drought monitoring in agricultural regions located in central and south western Asia. The study area covers regions from moderate and wet climatological zones with dense vegetation coverage to semi-arid and arid climatological conditions with moderate to poor vegetation coverage. The spatio-temporal patterns of surface drought derived by PDI and MPDI from 250m MODerate Resolution Imaging Spectroradiometer (MODIS) data in 8-day time steps are compared against two other drought indices: the Standardized Precipitation Index (SPI) as a meteorological drought index and the potential evapotranspiration (ET_0) as an agro-meteorological drought index, which both were calculated based on field-measured precipitation and regional meteorological parameters, In addition, 8-day MODIS Normalized Difference Vegetation Index (NDVI) was calculated and its performance to detect drought occurrence and measuring of drought severity compared with the two perpendicular drought indices. Significant correlations were found between the PDI, the MPDI and precipitation and other applied meteorological and agro-meteorological drought indices. The results confirm previous studies which has been analyzing the PDI and the MPDI over some study points in Iran. In this research, however, implementation of higher resolution data (MOD09Q1) in both spatial (250 m) and temporal (8-days) dimensions revealed a greater agreement between the drought information extracted by the MPDI, PDI and field meteorological measurements. It could be concluded that the applied perpendicular indices could be used as a drought early warning system over case study region and other regions with similar arid and semi-arid climatological conditions.
机译:干旱监测模型和产品可帮助决策者进行干旱计划,准备和减灾,所有这些都可以在减少干旱影响方面发挥作用。在这项研究中,进一步探索了两个新开发的基于遥感的干旱指数,即垂直干旱指数(PDI)和修正的垂直干旱指数(MPDI)的性能,以用于位于中亚和西南亚的农业地区的区域干旱监测。研究区域涵盖从中度和湿润气候带植被覆盖的区域到半干旱和干旱气候条件,植被覆盖度从中等到较差的区域。将PDI和MPDI从8天时间步长的250m现代分辨率成像光谱仪(MODIS)数据中得出的地表干旱时空格局与其他两个干旱指数进行了比较:作为气象干旱指数的标准降水指数(SPI)和根据实地测得的降水量和区域气象参数计算潜在的蒸散量(ET_0),作为农业气象干旱指数,此外,还计算了8天的MODIS归一化植被指数(NDVI)及其检测性能与两个垂直干旱指数相比,干旱发生和干旱严重程度的测量。在PDI,MPDI和降水以及其他应用的气象和农业气象干旱指数之间发现了显着的相关性。结果证实了先前的研究,该研究一直在分析伊朗一些研究点上的PDI和MPDI。然而,在这项研究中,在空间(250 m)和时间(8天)维度上实现更高分辨率的数据(MOD09Q1),揭示了MPDI,PDI提取的干旱信息与野外气象测量值之间的一致性更高。可以得出结论,应用的垂直指数可以用作案例研究区域和其他干旱和半干旱气候条件相似区域的干旱预警系统。

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