干旱区生态环境知识资源中心(Arid): Integration of Microwave and Optical/Infrared Derived Datasets from Multi-Satellite Products for Drought Monitoring

Arid

DOI	10.3390/w12051504
	Integration of Microwave and Optical/Infrared Derived Datasets from Multi-Satellite Products for Drought Monitoring
	Wang, Zhengdong; Guo, Peng; Wan, Hong; Tian, Fuyou; Wang, Linjiang
通讯作者	Guo, P
来源期刊	WATER
EISSN	2073-4441
出版年	2020
卷号	12 期号:5
英文摘要	Drought is among the most common natural disasters in North China. In order to monitor the drought of the typically arid areas in North China, this study proposes an innovative multi-source remote sensing drought index called the improved Temperature-Vegetation-Soil Moisture Dryness Index (iTVMDI), which is based on passive microwave remote sensing data from the FengYun (FY)3B-Microwave Radiation Imager (MWRI) and optical and infrared data from the Moderate Resolution Imaging Spectroradiometer (MODIS), and takes the Shandong Province of China as the research area. The iTVMDI integrated the advantages of microwave and optical remote sensing data to improve the original Temperature-Vegetation-Soil Moisture Dryness Index (TVMDI) model, and was constructed based on the Modified Soil-Adjusted Vegetation Index (MSAVI), land surface temperature (LST), and downscaled soil moisture (SM) as the three-dimensional axes. The global land data assimilation system (GLDAS) SM, meteorological data and surface water were used to evaluate and verify the monitoring results. The results showed that iTVMDI had a higher negative correlation with GLDAS SM (R = -0.73) than TVMDI (R = -0.55). Additionally, the iTVMDI was well correlated with both precipitation and surface water, with mean correlation coefficients (R) of 0.65 and 0.81, respectively. Overall, the accuracy of drought estimation can be significantly improved by using multi-source satellite data to measure the required surface variables, and the iTVMDI is an effective method for monitoring the spatial and temporal variations of drought.
英文关键词	Shandong Province drought index soil moisture iTVMDI microwave remote sensing
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000555915200283
WOS关键词	SOIL-MOISTURE ESTIMATION ; HIGH-RESOLUTION ; INDEX SPACE ; IN-SITU ; VEGETATION ; TEMPERATURE ; MODIS ; RETRIEVAL ; MODEL ; STATES
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/325428
作者单位	[Wang, Zhengdong; Tian, Fuyou; Wang, Linjiang] Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China; [Wang, Zhengdong; Wan, Hong; Tian, Fuyou; Wang, Linjiang] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; [Guo, Peng; Wan, Hong] Shandong Agr Univ, Coll Informat Sci & Engn, Tai An 271018, Shandong, Peoples R China
推荐引用方式 GB/T 7714	Wang, Zhengdong,Guo, Peng,Wan, Hong,et al. Integration of Microwave and Optical/Infrared Derived Datasets from Multi-Satellite Products for Drought Monitoring[J],2020,12(5).
APA	Wang, Zhengdong,Guo, Peng,Wan, Hong,Tian, Fuyou,&Wang, Linjiang.(2020).Integration of Microwave and Optical/Infrared Derived Datasets from Multi-Satellite Products for Drought Monitoring.WATER,12(5).
MLA	Wang, Zhengdong,et al."Integration of Microwave and Optical/Infrared Derived Datasets from Multi-Satellite Products for Drought Monitoring".WATER 12.5(2020).