气候变化领域集成服务门户(CCPortal): Assessing the soil moisture drought index for agricultural drought monitoring based on green vegetation fraction retrieval methods

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DOI	10.1007/s11069-021-04693-x
	Assessing the soil moisture drought index for agricultural drought monitoring based on green vegetation fraction retrieval methods
	Wu R.; Li Q.
发表日期	2021
ISSN	0921030X
起始页码	499
结束页码	518
卷号	108 期号:1
英文摘要	Soil moisture in root zone soil layers is one of the most important indicators of agricultural drought. Thus, monitoring agricultural drought requires not only knowledge of rainfall anomaly but also quantification of soil moisture. In this study, the effects of various methods of quantifying the green vegetation fraction green vegetation fraction (GVF) on the land-surface-model (LSM)-based soil moisture drought index (SMDI) were assessed using the harvest area data of the World Meteorological Organization together with the widely used vegetation health index and drought severity index. GVF data used in this study include monthly climatological GVF, weekly advanced very high-resolution radiometer (AVHRR)-normalized difference vegetation index-based and 8-daily moderate-resolution imaging spectroradiometer (MODIS) leaf area index (LAI)-based GVF. The results show that SMDI is optimized when using the near-real-time GVF and that LAI-based GVF increases the accuracy of SMDI when monitoring early agricultural drought. The study shows that we can be confident in the accuracy of signals of emerging drought, particularly during the rapid onset of drought. © 2021, The Author(s), under exclusive licence to Springer Nature B.V.
关键词	Agricultural drought Global drought monitoring Green vegetation fraction Root zone soil moisture
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/206666
作者单位	Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China; College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing, 210044, China
推荐引用方式 GB/T 7714	Wu R.,Li Q.. Assessing the soil moisture drought index for agricultural drought monitoring based on green vegetation fraction retrieval methods[J],2021,108(1).
APA	Wu R.,&Li Q..(2021).Assessing the soil moisture drought index for agricultural drought monitoring based on green vegetation fraction retrieval methods.Natural Hazards,108(1).
MLA	Wu R.,et al."Assessing the soil moisture drought index for agricultural drought monitoring based on green vegetation fraction retrieval methods".Natural Hazards 108.1(2021).