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Impacts of crop rotation on vegetation condition index for species-level drought monitoring

机译:作物轮作对植被状况指数的影响-种级干旱监测

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Understanding crop rotation on satellite remote sensing derived vegetation indices is very necessary, because it helps us develop more scientific methods or indices for revealing the mechanism of agricultural drought in the species-level. In this paper, the impacts of crop rotation on vegetation condition index (VCI) was explored. First, we tried to justify that whether crop rotation is a typical agricultural practice in the study area, and counted the proportion of crop planting changes over any pixel in multi-year; and second, a neighbor-average based VCI index was developed for species-level cases, and the comparison with traditional VCI index had been conducted. The experimental study was conducted in state of Iowa, the primary corn-producing state in the Corn Belt of the United States. Moderate resolution imaging spectroradiometer (MODIS) normalized difference vegetation index (NDVI) time series and NASS's cropland data layer (CDL) among years 2002–2013 were utilized for data analysis. The results shown that crop rotation limited impacts the VCI index on corn drought monitoring across the study area. Even so, the research inspires a more accurate and valuable mean in the future for examining the mechanisms and processes of species-level drought monitoring.
机译:了解卫星遥感导出的植被指数上的作物轮换非常必要,因为它有助于我们开发更多科学的方法或指数来揭示物种水平上的农业干旱机制。本文探讨了轮作对植被状况指数(VCI)的影响。首先,我们试图证明轮作是否是该研究区域的典型农业实践,并计算了多年中农作物种植变化在任何像素上所占的比例;其次,针对物种案例开发了基于邻域平均的VCI指数,并与传统VCI指数进行了比较。实验研究在爱荷华州进行,爱荷华州是美国玉米带的主要玉米生产州。利用中分辨率成像光谱仪(MODIS)归一化植被指数(NDVI)时间序列和2002-2013年间NASS的农田数据层(CDL)进行数据分析。结果表明,轮作限制了整个研究区VCI指数对玉米干旱监测的影响。即使这样,这项研究仍激发了一种更准确,更有价值的手段,可以用来检查物种级干旱监测的机制和过程。

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