Estimating crop water stress with ETM plus NIR and SWIR data
文献类型：期刊论文
| 作者 | Ghulam, Abduwasit ; Li, Zhao-Liang(李召良) ; Qin, Qiming ; Yimit, Hamid ; Wang, Jihua |
| 刊名 | AGRICULTURAL AND FOREST METEOROLOGY
 |
| 出版日期 | 2008 |
| 卷号 | 148期号:11页码:1679-1695 |
| 关键词 | Vegetation water stress index (VWSI) Crop water stress Drought monitoring |
| ISSN号 | 0168-1923 |
| 通讯作者 | Ghulam A |
| 学科主题 | Agronomy; Forestry; Meteorology & Atmospheric Sciences |
| 收录类别 | SCI |
| 资助信息 | Major State Basic Research (973) Project [G2000077900]; National Natural Science Foundation of China [40771148, 40661002] |
| 语种 | 英语 |
| 公开日期 | 2011-06-10 |
| 附注 | Monitoring of crop water stress from the reflectance of near infrared (NIR) and shortwave infrared (SWIR) wavelengths in the optical domain provides a promising tool for the use of satellite data in precision agriculture. In this paper, a method to monitor crop water stress is developed using ETM+ NIR and SWIR wavelengths. In particular, we investigate the effect of crop drought on wheat canopy biochemistry especially on the fuel moisture content (FMC). Fuel moisture content-based wheat drought guidelines corresponding to different phenological status are established using field measurements conducted over water controlled and stressed wheat canopies. The relationship between vegetation water stress index (VWSI) developed and wheat drought guidelines are explored using field measured data and leaf canopy radiative transfer models including PROSPECT, Lillesaeter, and SailH. Furthermore, the potential use of the VWSI in crop drought monitoring is evaluated. The results indicate that there are strong correlations between VWSI and FMC. Obvious decline in VWSI is observed with increasing FMC, which corresponds to different water treatments and irrigation activities. VWSI is greater than 0.2 when wheat is exposed to slight stress, and close to 0.4 in areas where the canopy experienced severe water stress. VWSI also demonstrates a strong linear relationship with water deficit index (WDI) (R-2 = 0.65; P < 0.0001). In conclusion, VWSI is useful in crop drought estimation as a robust index that does not require any other additional information such as meteorological or hydrological data. Published by Elsevier B.V. |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/4151]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 推荐引用方式 GB/T 7714 | Ghulam, Abduwasit,Li, Zhao-Liang,Qin, Qiming,et al. Estimating crop water stress with ETM plus NIR and SWIR data[J]. AGRICULTURAL AND FOREST METEOROLOGY,2008,148(11):1679-1695. |
| APA | Ghulam, Abduwasit,Li, Zhao-Liang,Qin, Qiming,Yimit, Hamid,&Wang, Jihua.(2008).Estimating crop water stress with ETM plus NIR and SWIR data.AGRICULTURAL AND FOREST METEOROLOGY,148(11),1679-1695. |
| MLA | Ghulam, Abduwasit,et al."Estimating crop water stress with ETM plus NIR and SWIR data".AGRICULTURAL AND FOREST METEOROLOGY 148.11(2008):1679-1695. |
入库方式： OAI收割
来源：地理科学与资源研究所
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