Meteorological drought in the upper Noteć catchment area (Central Poland) in the light of NDVI and SPI indicators

IF 5.7 3区环境科学与生态学 Q1 WATER RESOURCES Applied Water Science Pub Date : 2024-07-26 DOI:10.1007/s13201-024-02215-1

Katarzyna Kubiak-Wójcicka, Agnieszka Pilarska, Dariusz Kamiński

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Abstract

The currently used standardised precipitation index (SPI) does not allow for a reliable assessment of the impact of drought due to the small and unevenly distributed network of meteorological stations. Hopes for developing methods to assess the impact of droughts are pinned on remote data acquisition and the use of analysis of aerial photographs and satellite scenes. The aim of this study is to assess the occurrence of drought based on the normalised difference vegetation index (NDVI) and SPI at multiple time scales (1-, 3-, and 6-, 9- and 12-month). NDVI values do not simply reflect meteorological drought. However, the spatial co-occurrence of meteorological drought with drought defined on the basis of the NDVI index was demonstrated. The study presents a new approach to identifying drought characterized by SPI and NDVI based on the bivariate choropleth map method, which can indicate the actual places of drought occurrence. The study was carried out for the upper Noteć catchment located in Central Poland.

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从 NDVI 和 SPI 指标看 Noteć 上游集水区（波兰中部）的气象干旱情况

由于气象站网络规模小且分布不均，目前使用的标准化降水指数 (SPI) 无法对干旱的影响进行可靠的评估。开发干旱影响评估方法的希望寄托在远程数据采集以及航空照片和卫星场景分析的使用上。本研究的目的是根据归一化差异植被指数（NDVI）和 SPI 在多个时间尺度上（1 个月、3 个月、6 个月、9 个月和 12 个月）评估干旱的发生。归一化差异植被指数值并不能简单地反映气象干旱。然而，研究表明，气象干旱与根据 NDVI 指数定义的干旱在空间上同时出现。该研究提出了一种新方法，即基于双变量脉络图方法，识别以 SPI 和 NDVI 为特征的干旱，从而指出干旱发生的实际地点。这项研究是针对位于波兰中部的 Noteć 上游集水区进行的。

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