Evaluating the potential of vegetation indices for winter wheat LAI estimation under different fertilization and water conditions
文献类型：期刊论文
| 作者 | Xie, Qiaoyun1; Huang, Wenjiang1; Dash, Jadunandan1; Song, Xiaoyu1; Huang, Linsheng1; Zhao, Jinling1; Wang, Renhong1 |
| 刊名 | ADVANCES IN SPACE RESEARCH
 |
| 出版日期 | 2015 |
| 卷号 | 56期号:11页码:171-188 |
| 关键词 | Leaf area index Hyperspectral remote sensing Vegetation index Nitrogen and water treatment |
| 通讯作者 | Huang, WJ (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100049, Peoples R China. |
| 英文摘要 | Leaf area index (LAI) is an important indicator for monitoring crop growth conditions and forecasting grain yield. Many algorithms have been developed for remote estimation of the leaf area index of vegetation, such as using spectral vegetation indices, inversion of radiative transfer models, and supervised learning techniques. Spectral vegetation indices, mathematical combination of reflectance bands, are widely used for LAI estimation due to their computational simplicity and their applications ranged from the leaf scale to the entire globe. However, in many cases, their applicability is limited to specific vegetation types or local conditions due to species specific nature of the relationship used to transfer the vegetation indices to LAI. The overall objective of this study is to investigate the most suitable vegetation index for estimating winter wheat LAI under eight different types of fertilizer and irrigation conditions. Regression models were used to estimate LAI using hyperspectral reflectance data from the Pushbroom Hyperspectral Imager (PHI) and in-situ measurements. Our results showed that, among six vegetation indices investigated, the modified soil-adjusted vegetation index (MSAVI) and the normalized difference vegetation index (NDVI) exhibited strong and significant relationships with LAI, and thus were sensitive across different nitrogen and water treatments. The modified triangular vegetation index (MTVI2) confirmed its potential on crop LAI estimation, although second to MSAVI and NDVI in our study. The enhanced vegetation index (EVI) showed moderate performance. However, the ratio vegetation index (RVI) and the modified simple ratio index (MSR) predicted the least accurate estimations of LAI, exposing the simple band ratio index's weakness under different treatment conditions. The results support the use of vegetation indices for a quick and effective LAI mapping procedure that is suitable for winter wheat under different management practices. (C) 2015 COSPAR. Published by Elsevier Ltd. All rights reserved. |
| 研究领域[WOS] | Astronomy & Astrophysics ; Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000365367900005 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38054]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.[Xie, Qiaoyun 2.Huang, Wenjiang] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100049, Peoples R China 3.[Xie, Qiaoyun] Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.[Dash, Jadunandan] Univ Southampton, Geog & Environm, Southampton SO17 1BJ, Hants, England 5.[Song, Xiaoyu 6.Wang, Renhong] Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China 7.[Huang, Linsheng 8.Zhao, Jinling] Anhui Univ, Minist Educ, Key Lab Intelligent Comp & Signal Proc, Hefei 230039, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xie, Qiaoyun,Huang, Wenjiang,Dash, Jadunandan,et al. Evaluating the potential of vegetation indices for winter wheat LAI estimation under different fertilization and water conditions[J]. ADVANCES IN SPACE RESEARCH,2015,56(11):171-188. |
| APA | Xie, Qiaoyun.,Huang, Wenjiang.,Dash, Jadunandan.,Song, Xiaoyu.,Huang, Linsheng.,...&Wang, Renhong.(2015).Evaluating the potential of vegetation indices for winter wheat LAI estimation under different fertilization and water conditions.ADVANCES IN SPACE RESEARCH,56(11),171-188. |
| MLA | Xie, Qiaoyun,et al."Evaluating the potential of vegetation indices for winter wheat LAI estimation under different fertilization and water conditions".ADVANCES IN SPACE RESEARCH 56.11(2015):171-188. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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