干旱区生态环境知识资源中心(Arid): Winter Wheat Drought Monitoring with Multi-temporal MODIS data and AquaCrop Model-A Case Study in Henan Province

Arid

	Winter Wheat Drought Monitoring with Multi-temporal MODIS data and AquaCrop Model-A Case Study in Henan Province
	Li, Yuan; Wang, Hongshuo; Wang, Yan; Huang, Jianxi; Zhang, Xiaodong
通讯作者	Wang, HS (corresponding author), China Agr Univ, Coll Land Sci & Technol, Beijing, Peoples R China. ; Wang, HS (corresponding author), China Agr Univ, Minist Agr, Key Lab Remote Sensing, Beijing, Peoples R China.
会议名称	8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)
会议日期	JUL 16-19, 2019
会议地点	Istanbul, TURKEY
英文摘要	In recent years, frequent droughts have caused serious harm to the sustainable development of agriculture and food security. Based on the wide range and real time data, remote sensing was widely employed in drought monitoring. Many researchers have proposed a series of drought monitoring methods based on MODIS data over the past few decades. The AquaCrop model was released by FAO, which is suitable for crop growth monitoring in arid area with its simple interface, less input parameters and good simulation effect. AquaCrop model was applied to the researches on climate change, irrigation strategy, planting management and so on. Many scholars have verified the efficiency of AquaCrop model in arid areas of China. Since AquaCrop model is driven by water, it is reasonable to use it to monitor and reflect the drought process. This study was based on Terra-MODIS data products and agro-meteorological data during the year of 2007-2008, 2008-2009, 2009-2010 and 2011-2012 of Winter Wheat growth periods in Henan Province. In this study, firstly, localizing the AquaCrop by the simulated and observed Canopy Cover (CC), Biomass (B), Yield (Y) and 0-50cm Soil Water Content (SWC). The values between observed and simulated have good consistency, with R-2=0.9289 of CC, R-2=0.9418 of B, R-2=0.8309 of SWC. Meanwhile, the simulation results of four growth stages of winter wheat show that the model has good applicability and stability in Henan Province. Secondly, calculating TVDI using MODIS data in the same time range. Finally, analyzing the correlation between the results of two models and observed soil water content in different depth of soil layers. Similarly, the simulation accuracy of two models are better with shallow soil moisture. MODIS TVDI has a highest correlation with 30cm soil water content (r=-0.344), while AquaCrop model with 10cm (r=0.819). The research can provide important reference for drought monitoring of winter wheat and it is helpful for effective agriculture drought monitoring and decision-making.
英文关键词	AquaCrop model Drought monitoring MODIS TVDI
来源出版物	2019 8TH INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS)
ISSN	2334-3168
出版年	2019
ISBN	978-1-7281-2116-1
出版者	IEEE
类型	Proceedings Paper
语种	英语
收录类别	CPCI-S
WOS记录号	WOS:000562356600034
WOS类目	Agriculture, Multidisciplinary ; Computer Science, Information Systems ; Computer Science, Interdisciplinary Applications
WOS研究方向	Agriculture ; Computer Science
资源类型	会议论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/370011
作者单位	[Li, Yuan; Wang, Hongshuo; Wang, Yan; Huang, Jianxi; Zhang, Xiaodong] China Agr Univ, Coll Land Sci & Technol, Beijing, Peoples R China; [Li, Yuan; Wang, Hongshuo; Wang, Yan; Huang, Jianxi; Zhang, Xiaodong] China Agr Univ, Minist Agr, Key Lab Remote Sensing, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Li, Yuan,Wang, Hongshuo,Wang, Yan,et al. Winter Wheat Drought Monitoring with Multi-temporal MODIS data and AquaCrop Model-A Case Study in Henan Province[C]:IEEE,2019.