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基于AMSR-E的微波温度植被干旱指数的应用——以亚马逊热带雨林为例

The Application of Microwave Temperature-Vegetation Drought Index(MTVDI) based on the AMSR-E in Amazon Basin

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【作者】 刘礼杨杨雪琴陈修治苏泳娴任加顺黄光庆

【Author】 Liu Liyang;Yang Xueqin;Chen Xiuzhi;Su Yongxian;Ren Jiashun;Huang Guangqing;Guangzhou Institute of Geochemistry,Chinese Academy of Science;Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou);School of Atmospheric Sciences,Sun Yat-sen University;Guangzhou Institute of Geography,Guangdong Academy of Sciences;University of the Chinese Academy of Sciences;

【通讯作者】 杨雪琴;

【机构】 中国科学院广州地球化学研究所南方海洋科学与工程广东省实验室(广州)中山大学大气科学学院广东省科学院广州地理研究所中国科学院大学

【摘要】 以热带常绿阔叶林为主的亚马逊流域在全球气候变化的背景下频繁遭受干旱胁迫。但是对于该地区实施长时间序列的干旱监测一直是难点和热点。基于Liu等2017年提出的微波温度—植被干旱指数(Microwave Temperature-Vegetation Drought Index,MTVDI),对亚马逊流域进行了2003—2008年长时间序列的干旱监测,并采用饱和水汽压差(Vapor Pressure Deficit,VPD)、帕尔默干旱指数(Palmer Drought Severity Index,PDSI)、陆地地下水储量(Terrestrial Water Storage,TWS)、气象水分亏缺(Climatological Water Deficit,CWD)对MTVDI进行验证。结果表明:对于整个研究区而言,MTVDI与VPD(R=0.72)和CWD(R=-0.57)相关性较显著,但与TWS和PDSI相关性较弱。总体上,MTVDI能够较好地反映亚马逊地区干旱的季节动态。

【Abstract】 The Amazon basin,dominated by tropical evergreen broad-leaved forests,has frequently encountered drought stress due to the global climate change. The implementation of long-term regional drought monitoring in such areas has always been a serious issue. In this paper,we conducted a long-term drought monitoring of the Amazon basin from 2003 to 2008 based on the Microwave Temperature-Vegetation Drought Index(MTVDI)proposed by Liu et al. in 2017. And the MTVDI was evaluated by using Vapor Pressure Deficit(VPD),Palmer Drought Severity Index(PDSI),Terrestrial Water Storage(TWS)and Climatological Water Deficit(CWD). The results show that:For the whole study area,MTVDI is strongly associated with VPD and CWD(Pearson R are 0.72 and 0.57,respectively). In contrast,weak correlations exist between MTVDI and TWS,CWD. In general,MTVDI has well capacity to monitor drought dynamics in Amazon.

【基金】 国家自然科学基金面上项目(31971458、41971275)
  • 【文献出处】 遥感技术与应用 ,Remote Sensing Technology and Application , 编辑部邮箱 ,2022年04期
  • 【分类号】P407;P426.616
  • 【下载频次】117
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