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首页> 外文期刊>International journal of remote sensing >Developing the vegetation drought response index for South Korea (VegDRI-SKorea) to assess the vegetation condition during drought events
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Developing the vegetation drought response index for South Korea (VegDRI-SKorea) to assess the vegetation condition during drought events

机译：制定韩国植被干旱响应指数（VegDRI-SKorea）以评估干旱事件期间的植被状况

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摘要

South Korea has experienced severe droughts and water scarcity problems that have influenced agriculture, food prices, and crop production in recent years. Traditionally, climate-based drought indices using point-based meteorological observations have been used to help quantify drought impacts on the vegetation in South Korea. However, these approaches have a limited spatial precision when mapping detailed vegetation stress caused by drought. For these reasons, the development of a drought index that provides detailed spatial-resolution information on drought-affected vegetation conditions is essential to improve the country's drought monitoring capabilities, which are needed to help develop more effective adaptation and mitigation strategies. The objective of this study was to develop a satellite-based hybrid drought index called the vegetation drought response index for South Korea (VegDRI-SKorea) that could improve the spatial resolution of agricultural drought monitoring on a national scale. The VegDRI-SKorea was developed for South Korea, modifying the original VegDRI methodology (developed for the USA) by tailoring it to the available local data resources. The VegDRI-SKorea utilizes a classification and regression tree (CART) modelling approach that collectively analyses remote-sensing data (e.g. normalized difference vegetation index (NDVI)), climate-based drought indices (e.g. self-calibrated Palmer drought severity index (PDSI) and standardized precipitation index (SPI)), and biophysical variables (e.g. elevation and land cover) that influence the drought-related vegetation stress. This study evaluates the performance of the recently developed VegDRI-SKorea for severe and extreme drought events that occurred in South Korea in 2001, 2008, and 2012. The results demonstrated that the hybrid drought index improved the more spatially detailed drought patterns compared to the station-based drought indices and resulted in a better understanding of drought impacts on the vegetation conditions. The VegDRI-SKorea model is expected to contribute to the monitoring of drought conditions nationally. In addition, it will provide the necessary information on the spatial variations of those conditions to evaluate local and regional drought risk assessment across South Korea and assist local decision-makers in drought risk management.
机译：近年来，韩国经历了严重的干旱和缺水问题，影响了农业，食品价格和作物生产。传统上，使用基于点的气象观测的基于气候的干旱指数来帮助量化干旱对韩国植被的影响。但是，在绘制由干旱引起的详细植被应力时，这些方法的空间精度有限。由于这些原因，开发干旱指数以提供有关受干旱影响的植被状况的详细空间分辨率信息对于提高该国的干旱监测能力至关重要，而干旱监测能力是帮助制定更有效的适应和减灾战略所必需的。这项研究的目的是开发一种基于卫星的混合干旱指数，称为韩国的植被干旱反应指数（VegDRI-SKorea），可以在全国范围内提高农业干旱监测的空间分辨率。 VegDRI-SKorea是为韩国开发的，通过修改VegDRI原始方法（为美国开发），使之适合本地可用的数据资源。 VegDRI-SKorea利用分类和回归树（CART）建模方法，共同分析遥感数据（例如标准化差异植被指数（NDVI）），基于气候的干旱指数（例如自校准的Palmer干旱严重程度指数（PDSI））以及标准化的降水指数（SPI）和影响干旱相关植被胁迫的生物物理变量（例如海拔和土地覆盖）。这项研究评估了最近开发的VegDRI-SKorea在2001年，2008年和2012年在韩国发生的严重和极端干旱事件中的性能。结果表明，与站点相比，混合干旱指数改善了空间上更详细的干旱模式基于干旱的指数，从而更好地了解了干旱对植被状况的影响。预计VegDRI-SKorea模型将有助于全国范围内干旱状况的监测。此外，它将提供有关这些条件的空间变化的必要信息，以评估整个韩国的本地和区域干旱风险评估，并协助当地决策者进行干旱风险管理。

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  • 来源
    《International journal of remote sensing》 |2018年第6期|1548-1574|共27页
  • 作者

    Nam Won-Ho; Tadesse Tsegaye; Wardlow Brian D.; Hayes Michael J.; Svoboda Mark D.; Hong Eun-Mi; Pachepsky Yakov A.; Jang Min-Won;

  • 作者单位

    Univ Nebraska, Natl Drought Mitigat Ctr, Lincoln, NE USA;

    Univ Nebraska, Natl Drought Mitigat Ctr, Lincoln, NE USA;

    Univ Nebraska, Sch Nat Resources, Lincoln, NE USA;

    Univ Nebraska, Sch Nat Resources, Lincoln, NE USA;

    Univ Nebraska, Natl Drought Mitigat Ctr, Lincoln, NE USA;

    USDA ARS, Beltsville Agr Res Ctr, Environm Microbial & Food Safety Lab, Beltsville, MD 20705 USA;

    USDA ARS, Beltsville Agr Res Ctr, Environm Microbial & Food Safety Lab, Beltsville, MD 20705 USA;

    Gyeongsang Natl Univ, Inst Agr & Life Sci, Dept Agr Engn, Jinju, South Korea;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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