globalchange  > 气候变化与战略
DOI: 10.1007/s11069-021-04693-x
论文题名:
Assessing the soil moisture drought index for agricultural drought monitoring based on green vegetation fraction retrieval methods
作者: Wu R.; Li Q.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2021
卷: 108, 期:1
起始页码: 499
结束页码: 518
语种: 英语
中文关键词: Agricultural drought ; Global drought monitoring ; Green vegetation fraction ; Root zone soil moisture
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.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/169465
Appears in Collections:气候变化与战略

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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

Recommended Citation:
Wu R.,Li Q.. Assessing the soil moisture drought index for agricultural drought monitoring based on green vegetation fraction retrieval methods[J]. Natural Hazards,2021-01-01,108(1)
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