DOI: 10.1016/j.jag.2012.09.010
Scopus记录号: 2-s2.0-84880286885
论文题名: A comprehensive drought monitoring method integrating MODIS and TRMM data
作者: Du L ; , Tian Q ; , Yu T ; , Meng Q ; , Jancso T ; , Udvardy P ; , Huang Y
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2013
卷: 23, 期: 1 起始页码: 245
结束页码: 253
语种: 英语
英文关键词: Drought
; Moderate resolution imaging
; Principal component analysis
; Spectroradiometer
; Synthesized drought index
; Tropical rainfall measuring mission
Scopus关键词: drought
; MODIS
; principal component analysis
; satellite data
; satellite imagery
; TRMM
; vegetation cover
; water budget
; China
; Shandong
英文摘要: Drought is a complex hazard caused by the breaking of water balance and it has always an impact on agricultural, ecological and socio-economic spheres. Although the drought indices deriving from remote sensing data have been used to monitor meteorological or agricultural drought, there are no indices that can suitably reflect the comprehensive information of drought from meteorological to agricultural aspects. In this paper, the synthesized drought index (SDI) is defined as a principal component of vegetation condition index (VCI), temperature condition index (TCI) and precipitation condition index (PCI). SDI integrates multi-source remote sensing data from moderate resolution imaging spectroradiometer (MODIS) and tropical rainfall measuring mission (TRMM) and it synthesizes precipitation deficits, soil thermal stress and vegetation growth status in drought process. Therefore, this method is favorable to monitor the comprehensive drought. In our research, a heavy drought process was accurately explored using SDI in Shandong province, China from 2010 to 2011. Finally, a validation was implemented and its results show that SDI is not only strongly correlated with 3-month scales standardized precipitation index (SPI3), but also with variation of crop yield and drought-affected crop areas. It was proved that this index is a comprehensive drought monitoring indicator and it can contain not only the meteorological drought information but also it can reflect the drought influence on agriculture. © 2012 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79858
Appears in Collections: 气候变化事实与影响
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作者单位: International Institute for Earth System Science, Nanjing University, Nanjing 210093, China; State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications of Chinese Academy of Sciences, Beijing Normal University, Beijing 100101, China; Faculty of Geoinformatics, University of West Hungary, Szekesfehervar H-8000, Hungary; Key Lab. for Restoration and Reconstruction of Degraded Ecosystem, North-western China of Ministry of Education, Ningxia University, Yinchuan 750021, China
Recommended Citation:
Du L,, Tian Q,, Yu T,et al. A comprehensive drought monitoring method integrating MODIS and TRMM data[J]. International Journal of Applied Earth Observation and Geoinformation,2013-01-01,23(1)