Comparative evaluation of drought indices for monitoring drought based on remote sensing data
文献类型：期刊论文
| 作者 | Wei, Wei1; Zhang, Jing1; Zhou, Liang2,3; Xie, Binbin4; Zhou, Junju1; Li, Chuanhua1 |
| 刊名 | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
 |
| 出版日期 | 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. |
| 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 |
| 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研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000605574200032 |
| 出版者 | SPRINGER HEIDELBERG |
| 资助机构 | National Natural Science Foundation of China ; Natural Science Foundation of Gansu Province |
| 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.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 |
| 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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