IGSNRR OpenIR
Comparative evaluation of drought indices for monitoring drought based on remote sensing data
Wei, Wei1; Zhang, Jing1; Zhou, Liang2,3; Xie, Binbin4; Zhou, Junju1; Li, Chuanhua1
2021-01-06
Source PublicationENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
ISSN0944-1344
Pages18
Corresponding AuthorZhang, Jing(18251907576@163.com)
AbstractMany 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.
KeywordRemote sensing Drought monitoring Combined drought index Comparative evaluation China
DOI10.1007/s11356-020-12120-0
WOS KeywordTEMPERATURE CONDITION INDEXES ; MULTISENSOR INTEGRATED INDEX ; AGRICULTURAL DROUGHT ; SOIL-MOISTURE ; METEOROLOGICAL DROUGHT ; CHLOROPHYLL FLUORESCENCE ; WATER-RESOURCES ; CLIMATE-CHANGE ; AVHRR DATA ; MICROWAVE
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41861040] ; National Natural Science Foundation of China[41761047] ; Natural Science Foundation of Gansu Province[1506RJZA129]
Funding OrganizationNational Natural Science Foundation of China ; Natural Science Foundation of Gansu Province
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000605574200032
PublisherSPRINGER HEIDELBERG
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/136697
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZhang, Jing
Affiliation1.Northwest Normal Univ, Coll Geog & Environm Sci, Lanzhou 730070, Gansu, Peoples R China
2.Lanzhou Jiaotong Univ, Fac Geomat, Lanzhou 730070, 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
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wei, Wei]'s Articles
[Zhang, Jing]'s Articles
[Zhou, Liang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wei, Wei]'s Articles
[Zhang, Jing]'s Articles
[Zhou, Liang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wei, Wei]'s Articles
[Zhang, Jing]'s Articles
[Zhou, Liang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.