首页> 外文期刊>Remote sensing letters >Remotely sensed drought index and its responses to meteorological drought in Southwest China
【24h】

Remotely sensed drought index and its responses to meteorological drought in Southwest China

机译:西南地区干旱遥感指数及其对气象干旱的响应

获取原文
获取原文并翻译 | 示例
       

摘要

The extreme drought in Southwest China during 2009-2010 caused great damages to vegetation in that area. In this study, we analyse the relationship between remotely sensed drought monitoring and meteorological drought monitoring. Vegetation Health Index (VHI) was calculated using multitemporal Normalized Difference Vegetation Index and land surface temperature from 2001 to 2010. VHI was adopted to characterize vegetation responses to southwestern drought characterized by Standard Precipitation Index (SPI). At the beginning of drought, vegetation has little response (VHI > 50). As drought aggravates, VHI shows consistent and significant response (VHI < 30 in most areas). VHI and 3-month SPI have highest correlation for croplands, whereas VHI and 6-month SPI have highest correlation for forest. SPI and VHI have good spatiotemporal consistency during drought period in Southwest China. Our study proves meteorological drought index combined with remote sensing drought index can enhance our understanding of vegetation responses to drought threat.
机译:2009年至2010年期间,西南地区的极端干旱给该地区的植被造成了严重破坏。在这项研究中,我们分析了遥感干旱监测与气象干旱监测之间的关系。利用2001年至2010年的多时相归一化植被指数和地表温度来计算植被健康指数(VHI)。采用VHI来表征植被对西南干旱的响应,其特征为标准降水指数(SPI)。在干旱开始时,植被几乎没有反应(VHI> 50)。随着干旱的加剧,VHI表现出一致且显着的响应(在大多数地区VHI <30)。 VHI和3个月SPI与耕地的相关性最高,而VHI和6个月SPI与森林的相关性最高。 SPI和VHI在中国西南干旱期间具有良好的时空一致性。我们的研究证明,气象干旱指数与遥感干旱指数相结合可以增强我们对植被对干旱威胁响应的了解。

著录项

  • 来源
    《Remote sensing letters》 |2014年第6期|413-422|共10页
  • 作者单位

    Department of Geography, The Ohio State University, Columbus, OH, USA, Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, China;

    Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, China, Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China;

    Department of Geography, The Ohio State University, Columbus, OH, USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号