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Comparison of five drought indices for agricultural drought monitoring and impacts on winter wheat yields analysis

机译:用于农业干旱监测的五种干旱指数的比较及其对冬小麦产量分析的影响

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Various remote sensing-based drought indices have been developed during the past decades. These indices have their own applicability. Examination of adaption associated with limitations in drought indices would be useful for index selection and improvement. In this study, five drought indices (e.g. the temperature condition index (TCI), vegetation condition index (VCI), vegetation health index (VHI), temperature vegetation dryness index (TVDI), drought severity index (DSI)) generated by time series of MODIS data, which include 8-day MOD11 LST products, MOD13 NDVI products and MOD16 ET/PET products at 1km resolution from 2000 to 2012, were performed in Henan, and Shaanxi province in the northern China, aiming to better understand the differences and potential monitoring ability among these drought indices. 8-day drought indices were compared against winter wheat yield at the prefecture-city scale from 2000 to 2012. Results showed that TVDI outperformed the five drought indices in correlation with winter wheat yield, and followed by DSI, and next is the VHI, whereas TCI and VCI have the lowest correlation. Furthermore, during the winter wheat growth period, drought shows varying agricultural impacts on winter wheat yield at different phenological stages, jointing-heading stage and flowering-filling stage have higher correlations than others, and the highest correlation coefficient can reach 0.8, which indicated that winter wheat requires more water during these stages. As a result, the sensitive phenological stages can be used as the key period for effective agricultural drought monitoring. And during the two highest correlation growth period - jointing-heading stage and flowering-filling stage, higher correlations were found between TVDI and the winter wheat yield, which the correlation coefficient can reach 0.5. Furthermore, the correlation between drought indices and yield in Shaanxi province is generally stronger than that of Henan province, which showed that remote sensing drought indices have a better indication in rain fed area on drought.
机译:在过去的几十年中,已经开发出各种基于遥感的干旱指数。这些索引具有其自身的适用性。与干旱指数的局限性相关的适应性检查对于选择和改善干旱指数将是有用的。在这项研究中,按时间序列生成了五个干旱指数(例如温度状况指数(TCI),植被状况指数(VCI),植被健康指数(VHI),温度植被干燥指数(TVDI),干旱严重度指数(DSI))从2000年至2012年,在河南和陕西北部进行了MODIS数据采集,包括8天的MOD11 LST产品,MOD13 NDVI产品和MOD16 ET / PET产品,分辨率为1 km,目的是更好地了解两者之间的差异以及这些干旱指数中潜在的监测能力。在2000-2012年的地市范围内,比较了8天干旱指数与冬小麦产量。结果显示,TVDI相对于冬小麦产量表现优于五个干旱指数,其次是DSI,其次是VHI,而TCI和VCI具有最低的相关性。此外,在冬小麦生育期内,干旱表现为不同的物候期,不同的农业影响对冬小麦产量的影响,拔节期和开花充实期之间的相关性更高,相关系数最高,达到0.8,表明在这些阶段,冬小麦需要更多的水。因此,敏感的物候期可以作为有效监测农业干旱的关键时期。在拔节期和开花充实两个最高相关生长时期,TVDI与冬小麦产量之间存在较高的相关性,相关系数可以达到0.5。此外,陕西省干旱指数与单产的相关性通常强于河南省,这表明遥感干旱指数在干旱的雨水养料区具有更好的指示性。

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