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

机译:在中南部和西南亚垂直干旱指标重新审查

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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协助干旱规划,准备和减缓的决策者,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,两种新开发的遥感型干旱指数,垂直干旱指数(PDI)和改性垂直干旱指数(MPDI)的性能进一步探讨了位于中西南部的农业地区的区域干旱监测。研究区涵盖了中度和湿气候区的地区,植被覆盖着半干旱和干旱的气候条件,中度至较差的植被覆盖。在8天时间步骤中,通过250m中等分辨率成像分光辐射计(MODIS)数据的PDI和MPDI衍生的表面干旱的时空模式与另外两个干旱指数进行比较:标准化降水指数(SPI)作为气象干旱指数潜在的蒸发(ET_0)作为农业气象干旱指数,两者都是基于现场测量的降水和区域气象参数计算的,此外,计算8天的MODIS归一化差异植被指数(NDVI)及其检测性能与两个垂直的干旱指数相比,干旱发生和测量干旱严重程度。 PDI,MPDI和降水与其他应用气象和农业气象干旱指标中发现了显着的相关性。结果证实了先前的研究,这些研究已经在伊朗的一些研究点分析了PDI和MPDI。然而,在该研究中,在空间(250米)和时间(8天)尺寸中的更高分辨率数据(Mod09Q1)的实施揭示了MPDI,PDI和现场气象测量中提取的干旱信息之间更大的协议。可以得出结论,应用的垂线指数可作为案例研究区和其他具有类似干旱和半干旱气候条件的其他地区的干旱预警系统。

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