干旱区生态环境知识资源中心(Arid): An evaluation of the response of vegetation greenness, moisture, fluorescence, and temperature-based remote sensing indicators to drought stress

Arid

DOI	10.1016/j.jhydrol.2023.130125
	An evaluation of the response of vegetation greenness, moisture, fluorescence, and temperature-based remote sensing indicators to drought stress
	Sun, Hao; Xu, Zhenheng; Liu, Hao
通讯作者	Sun, H
来源期刊	JOURNAL OF HYDROLOGY
ISSN	0022-1694
EISSN	1879-2707
出版年	2023
卷号	625
英文摘要	Drought seriously threatens the food and ecological security of many countries in the world. Currently, various remote sensing indicators of vegetation status have been utilized in drought monitoring and warning. This study classified them into four types according to the biophysical characteristics of vegetation, i.e., temperature, moisture, fluorescence, and greenness-based indicators. However, their responses to drought stress are still less clear at present, which is not conducive to remote sensing of drought. Hence, a comprehensive evaluation of their responses to drought was conducted in this study. MODIS spectral reflectance and land surface temperature products were used to obtain temperature, moisture, and greenness-based indicators, while five solar-induced chlorophyll fluorescence datasets were used to obtain fluorescence-based indicators. Soil moisture anomaly, Standardized Precipitation Index, and Standardized Precipitation Evapotranspiration Index calculated by reanalysis and in-situ meteorological data were employed to indicate drought stress. The Chinese mainland was selected as the study area and the study period covers the year from 2000 to 2020 with months from May to September, the vegetation growing period. Evaluation results demonstrated that: 1) The responses of all indicators to drought stress were the most sensitive in arid areas, the second in transitional areas, and the last in humid areas; Monitoring or evaluation of drought with remote sensing vegetation indicators was more suitable for arid and transitional areas. 2) Among all indicators, the temperature-based indicator was found to be the most sensitive, the moisture-based indicator was in the second, the fluorescence-based and greenness-based indicators were in the third where the former presented a little more sensitive than the latter. 3) Vegetation temperature and moisture-based indicators should be integrated in the comprehensive indexes of drought rather than only integrate vegetation greenness-based indicators. Soil background effect in the remotely sensed vegetation indicators can be reduced with the feature space model.
英文关键词	Remote sensing of drought Vegetation response Temperature Moisture Greenness Fluorescence
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001080432400001
WOS关键词	INDUCED CHLOROPHYLL FLUORESCENCE ; INDEX ; MODIS ; CHINA ; FREQUENT ; SOIL
WOS类目	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Engineering ; Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/397414
推荐引用方式 GB/T 7714	Sun, Hao,Xu, Zhenheng,Liu, Hao. An evaluation of the response of vegetation greenness, moisture, fluorescence, and temperature-based remote sensing indicators to drought stress[J],2023,625.
APA	Sun, Hao,Xu, Zhenheng,&Liu, Hao.(2023).An evaluation of the response of vegetation greenness, moisture, fluorescence, and temperature-based remote sensing indicators to drought stress.JOURNAL OF HYDROLOGY,625.
MLA	Sun, Hao,et al."An evaluation of the response of vegetation greenness, moisture, fluorescence, and temperature-based remote sensing indicators to drought stress".JOURNAL OF HYDROLOGY 625(2023).