Comparison of three remotely sensed drought indices for assessing the impact of drought on winter wheat yield
文献类型：期刊论文
| 作者 | Huang, Jianxi1,8; Zhuo, Wen8; Li, Ying2,3; Huang, Ran8; Sedano, Fernando4; Su, Wei1,8; Dong, Jinwei5 ; Tian, Liyan6; Huang, Yanbo7; Zhu, Dehai1,8
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| 刊名 | INTERNATIONAL JOURNAL OF DIGITAL EARTH
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| 出版日期 | 2020-04-02 |
| 卷号 | 13期号:4页码:504-526 |
| 关键词 | Agricultural drought remote sensing drought index winter wheat yield |
| ISSN号 | 1753-8947 |
| DOI | 10.1080/17538947.2018.1542040 |
| 通讯作者 | Huang, Jianxi(jxhuang@cau.edu.cn) ; Li, Ying(walnutclip@163.com) |
| 英文摘要 | Agricultural drought threatens food security. Numerous remote-sensing drought indices have been developed, but their different principles, assumptions and physical quantities make it necessary to compare their suitability for drought monitoring over large areas. Here, we analyzed the performance of three typical remote sensing-based drought indices for monitoring agricultural drought in two major agricultural production regions in Shaanxi and Henan provinces, northern China (predominantly rain-fed and irrigated agriculture, respectively): vegetation health index (VHI), temperature vegetation dryness index (TVDI) and drought severity index (DSI). We compared the agreement between these indices and the standardized precipitation index (SPI), soil moisture, winter wheat yield and National Meteorological Drought Monitoring (NMDM) maps. On average, DSI outperformed the other indices, with stronger correlations with SPI and soil moisture. DSI also corresponded better with soil moisture and NMDM maps. The jointing and grain-filling stages of winter wheat are more sensitive to water stress, indicating that winter wheat required more water during these stages. Moreover, the correlations between the drought indices and SPI, soil moisture, and winter wheat yield were generally stronger in Shaanxi province than in Henan province, suggesting that remote-sensing drought indices provide more accurate predictions of the impacts of drought in predominantly rain-fed agricultural areas. |
| WOS关键词 | MONITORING AGRICULTURAL DROUGHT ; LEAF-AREA INDEX ; SOIL-MOISTURE ; MODIS DATA ; VEGETATION ; TEMPERATURE ; SERIES ; INDICATOR ; MODEL ; ISDI |
| 资助项目 | National Natural Science Foundation of China[41671418] ; National Natural Science Foundation of China[41805090] ; National Natural Science Foundation of China[61661136006] ; CMA/Henan Key Laboratory of Agrometeorological Support and Applied Technique[AMF201802] ; CMA/Henan Key Laboratory of Agrometeorological Support and Applied Technique[AMF201708] ; Science and Technology Facilities Council of UK -Newton Agritech Programme [Sentinles of Wheat] ; Foundation for Key Program of Beijing[D171100002317002] |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000519341300005 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 资助机构 | National Natural Science Foundation of China ; CMA/Henan Key Laboratory of Agrometeorological Support and Applied Technique ; Science and Technology Facilities Council of UK -Newton Agritech Programme [Sentinles of Wheat] ; Foundation for Key Program of Beijing |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/132989]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Huang, Jianxi; Li, Ying |
| 作者单位 | 1.Minist Agr, Key Lab Remote Sensing Agri Hazards, Beijing, Peoples R China 2.CMA Henan Key Lab Agrometeorol Support & Appl Tec, Zhengzhou 450000, Peoples R China 3.Henan Inst Meteorol Sci, Zhengzhou 450000, Peoples R China 4.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China 6.Texas A&M Univ, Coll Geosci, Dept Geog, College Stn, TX 77843 USA 7.ARS, USDA, Crop Prod Syst Res Unit, Stoneville, MS USA 8.China Agr Univ, Coll Land Sci & Technol, Beijing 100083, Peoples R China |
| 推荐引用方式 GB/T 7714 | Huang, Jianxi,Zhuo, Wen,Li, Ying,et al. Comparison of three remotely sensed drought indices for assessing the impact of drought on winter wheat yield[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2020,13(4):504-526. |
| APA | Huang, Jianxi.,Zhuo, Wen.,Li, Ying.,Huang, Ran.,Sedano, Fernando.,...&Zhang, Xiaodong.(2020).Comparison of three remotely sensed drought indices for assessing the impact of drought on winter wheat yield.INTERNATIONAL JOURNAL OF DIGITAL EARTH,13(4),504-526. |
| MLA | Huang, Jianxi,et al."Comparison of three remotely sensed drought indices for assessing the impact of drought on winter wheat yield".INTERNATIONAL JOURNAL OF DIGITAL EARTH 13.4(2020):504-526. |
入库方式： OAI收割
来源：地理科学与资源研究所
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