Comparative evaluation of drought indices for monitoring drought based on remote sensing data

doi:10.1007/s11356-020-12120-0

	Comparative evaluation of drought indices for monitoring drought based on remote sensing data
	Wei, Wei 2; Zhang, Jing 2; Zhou, Liang 1,3; Xie, Binbin 4; Zhou, Junju 2; Li, Chuanhua 2
刊名	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
	2021-01-06
页码	18
关键词	Remote sensing Drought monitoring Combined drought index Comparative evaluation China
ISSN号	0944-1344
DOI	10.1007/s11356-020-12120-0
通讯作者	Zhang, Jing(18251907576@163.com)
英文摘要	Many indices are used to monitor drought events. However, different indices have different data requirements and applications. Hence, evaluating their applicability will help to characterize drought events and refine the development of effective drought indices. We constructed different drought indices based on multisource remote sensing data and comprehensively evaluated and compared their applicability for drought monitoring throughout China. The characteristics of drought events in 2009 and 2011 were compared using various drought indices. The different time scales of the Palmer Drought Severity Index (PDSI) and the Standardized Precipitation Index (SPI) were used to evaluate remote sensing drought indices in different regions. Single drought indices, including the Vegetation Condition Index (VCI), the Temperature Condition Index (TCI) derived from Moderate Resolution Imaging Spectroradiometer (MODIS) data, the Precipitation Condition Index (PCI) derived from Tropical Rainfall Measurement Mission (TRMM) data, and the TCI and Soil Moisture Condition Index (SMCI) derived from Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) data, as well as combined drought indices, including the Microwave Integrated Drought Index (MIDI), Optimized Vegetation Drought Index (OVDI), Optimized Meteorological Drought Index (OMDI), Scale Drought Conditions Index (SDCI), and Synthesized Drought Index (SDI), were analyzed and compared to evaluate their applicability. The results showed that different drought indices have specific characteristics under different land use types in China. The VCI and TCI can better monitor long-term drought conditions, but they have a weak correlation with the in situ drought index in forestland and grassland areas. The correlation of SPI-1 with the PCI is higher than that with other single indices, which indicates that the PCI is a good short-term drought index. The SMCI has a better correlation with the short-term in situ drought index, but it is not conducive to drought monitoring in areas such as densely forested land and grassland. The correlations of the in situ drought index with the combined drought indices (the MIDI, OVDI, OMDI, SDCI, and SDI) are better than those with the single drought indices.
资助项目	National Natural Science Foundation of China[41861040] ; National Natural Science Foundation of China[41761047] ; Natural Science Foundation of Gansu Province[1506RJZA129]
WOS关键词	TEMPERATURE CONDITION INDEXES ; MULTISENSOR INTEGRATED INDEX ; AGRICULTURAL DROUGHT ; SOIL-MOISTURE ; METEOROLOGICAL DROUGHT ; CHLOROPHYLL FLUORESCENCE ; WATER-RESOURCES ; CLIMATE-CHANGE ; AVHRR DATA ; MICROWAVE
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	SPRINGER HEIDELBERG
WOS记录号	WOS:000605574200032
资助机构	National Natural Science Foundation of China ; Natural Science Foundation of Gansu Province
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/136696]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhang, Jing
作者单位	1.Lanzhou Jiaotong Univ, Fac Geomat, Lanzhou 730070, Peoples R China 2.Northwest Normal Univ, Coll Geog & Environm Sci, Lanzhou 730070, Gansu, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Lanzhou City Univ, Sch Urban Econ & Tourism Culture, Lanzhou 730070, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Wei, Wei,Zhang, Jing,Zhou, Liang,et al. Comparative evaluation of drought indices for monitoring drought based on remote sensing data[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2021:18.
APA	Wei, Wei,Zhang, Jing,Zhou, Liang,Xie, Binbin,Zhou, Junju,&Li, Chuanhua.(2021).Comparative evaluation of drought indices for monitoring drought based on remote sensing data.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,18.
MLA	Wei, Wei,et al."Comparative evaluation of drought indices for monitoring drought based on remote sensing data".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2021):18.