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Monitoring and assessing the 2012 drought in the great plains: Analyzing satellite-retrieved solar-induced chlorophyll fluorescence, drought indices, and gross primary production

文献类型:期刊论文

作者Wang, Siheng1; Huang, Changping1; Zhang, Lifu1; Lin, Yi1; Cen, Yi1; Wu, Taixia1
刊名Remote Sensing
出版日期2016
卷号8期号:2
关键词GHZ POLARIZATION DIFFERENCE AMAZON RIVER FLOODPLAIN SOIL-MOISTURE RETRIEVAL INUNDATION PATTERNS SOUTH-AMERICA AMSR-E SSM/I ALGORITHM SPACE PRECIPITATION
通讯作者Huang, Changping (huangcp@radi.ac.cn)
英文摘要We examined the relationship between satellite measurements of solar-induced chlorophyll fluorescence (SIF) and several meteorological drought indices, including the multi-time-scale standard precipitation index (SPI) and the Palmer drought severity index (PDSI), to evaluate the potential of using SIF to monitor and assess drought. We found significant positive relationships between SIF and drought indices during the growing season (from June to September). SIF was found to be more sensitive to short-term SPIs (one or two months) and less sensitive to long-term SPI (three months) than were the normalized difference vegetation index (NDVI) or the normalized difference water index (NDWI). Significant correlations were found between SIF and PDSI during the growing season for the Great Plains. We found good consistency between SIF and flux-estimated gross primary production (GPP) for the years studied, and synchronous declines of SIF and GPP in an extreme drought year (2012). We used SIF to monitor and assess the drought that occurred in the Great Plains during the summer of 2012, and found that although a meteorological drought was experienced throughout the Great Plains from June to September, the western area experienced more agricultural drought than the eastern area. Meanwhile, SIF declined more significantly than NDVI during the peak growing season. Yet for senescence, during which time the reduction of NDVI still went on, the reduction of SIF was eased. Our work provides an alternative to traditional reflectance-based vegetation or drought indices for monitoring and assessing agricultural drought. © 2016 by the authors.
学科主题Remote Sensing
类目[WOS]Remote Sensing
收录类别SCI ; EI
语种英语
WOS记录号WOS:20161302145608
源URL[http://ir.radi.ac.cn/handle/183411/39233]  
专题遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位1. The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
2. University of Chinese Academy of Sciences, Beijing, China
3. Institute of Remote Sensing and Geographic Information Systems, School of Earth and Space Science, Peking University, Beijing, China
推荐引用方式
GB/T 7714
Wang, Siheng,Huang, Changping,Zhang, Lifu,et al. Monitoring and assessing the 2012 drought in the great plains: Analyzing satellite-retrieved solar-induced chlorophyll fluorescence, drought indices, and gross primary production[J]. Remote Sensing,2016,8(2).
APA Wang, Siheng,Huang, Changping,Zhang, Lifu,Lin, Yi,Cen, Yi,&Wu, Taixia.(2016).Monitoring and assessing the 2012 drought in the great plains: Analyzing satellite-retrieved solar-induced chlorophyll fluorescence, drought indices, and gross primary production.Remote Sensing,8(2).
MLA Wang, Siheng,et al."Monitoring and assessing the 2012 drought in the great plains: Analyzing satellite-retrieved solar-induced chlorophyll fluorescence, drought indices, and gross primary production".Remote Sensing 8.2(2016).

入库方式: OAI收割

来源:遥感与数字地球研究所

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