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

IF 5.7 3区 环境科学与生态学 Q1 WATER RESOURCES
Katarzyna Kubiak-Wójcicka, Agnieszka Pilarska, Dariusz Kamiński
{"title":"从 NDVI 和 SPI 指标看 Noteć 上游集水区(波兰中部)的气象干旱情况","authors":"Katarzyna Kubiak-Wójcicka,&nbsp;Agnieszka Pilarska,&nbsp;Dariusz Kamiński","doi":"10.1007/s13201-024-02215-1","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":8374,"journal":{"name":"Applied Water Science","volume":"14 8","pages":""},"PeriodicalIF":5.7000,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13201-024-02215-1.pdf","citationCount":"0","resultStr":"{\"title\":\"Meteorological drought in the upper Noteć catchment area (Central Poland) in the light of NDVI and SPI indicators\",\"authors\":\"Katarzyna Kubiak-Wójcicka,&nbsp;Agnieszka Pilarska,&nbsp;Dariusz Kamiński\",\"doi\":\"10.1007/s13201-024-02215-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":8374,\"journal\":{\"name\":\"Applied Water Science\",\"volume\":\"14 8\",\"pages\":\"\"},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2024-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://link.springer.com/content/pdf/10.1007/s13201-024-02215-1.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Water Science\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s13201-024-02215-1\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"WATER RESOURCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Water Science","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s13201-024-02215-1","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"WATER RESOURCES","Score":null,"Total":0}
引用次数: 0

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Applied Water Science
Applied Water Science WATER RESOURCES-
CiteScore
9.90
自引率
3.60%
发文量
268
审稿时长
13 weeks
期刊介绍:
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信