Evaluation of hyperspectral indices for retrieval of canopy equivalent water thickness and gravimetric water content
文献类型:期刊论文
作者 | Liu, Liangyun1; Zhang, Su1; Zhang, Bing1 |
刊名 | International Journal of Remote Sensing |
出版日期 | 2016 |
卷号 | 37期号:14页码:3384-3399 |
关键词 | ETM PLUS OPTICAL DEPTH UNITED-STATES LAND RETRIEVAL ALGORITHM DATABASE AERONET 6S |
通讯作者 | Liu, Liangyun (liuly@radi.ac.cn) |
英文摘要 | There are two main parameters describing the amount of water in vegetation: the gravimetric water content (GWC) and the equivalent water thickness (EWT). In this study, we investigated the applicability of hyperspectral water-sensitive indices from canopy spectra for estimating canopy EWT (CEWT) and GWC. First, the spectral reflectance’s response to different levels of canopy water content was analysed and a noticeable increase in the slope of the near-infrared (NIR) shoulder of the canopy spectrum was observed. Next, the correlation between the CEWT and various hyperspectral water-sensitive indices was investigated. It was found that all of the indices could retrieve the CEWT of winter wheat well, with the coefficients of determination (R2) all being higher than 0.80. Finally, the retrieval performance of these indices for canopy GWC was evaluated and no significant correlation was observed between canopy GWC and the water-sensitive indices except for the spectral ratio index in the NIR shoulder region (NSRI). These results showed that the traditional water-sensitive vegetation indices are more sensitive to CEWT than to GWC, especially when the LAI is not highly correlated with the GWC, and that the NSRI is a potential vegetation index for use in the retrieval of GWC. © 2016 Informa UK Limited, trading as Taylor & Francis Group. |
学科主题 | Remote Sensing; Imaging Science & Photographic Technology |
类目[WOS] | Remote Sensing ; Imaging Science & Photographic Technology |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:20163202703970 |
源URL | [http://ir.radi.ac.cn/handle/183411/39323] |
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. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China 2. University of Chinese Academy of Sciences, Beijing, China |
推荐引用方式 GB/T 7714 | Liu, Liangyun,Zhang, Su,Zhang, Bing. Evaluation of hyperspectral indices for retrieval of canopy equivalent water thickness and gravimetric water content[J]. International Journal of Remote Sensing,2016,37(14):3384-3399. |
APA | Liu, Liangyun,Zhang, Su,&Zhang, Bing.(2016).Evaluation of hyperspectral indices for retrieval of canopy equivalent water thickness and gravimetric water content.International Journal of Remote Sensing,37(14),3384-3399. |
MLA | Liu, Liangyun,et al."Evaluation of hyperspectral indices for retrieval of canopy equivalent water thickness and gravimetric water content".International Journal of Remote Sensing 37.14(2016):3384-3399. |
入库方式: OAI收割
来源:遥感与数字地球研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。