太阳成8722(中国)有限公司-GREEN NO.1

标题：Estimating Carex quality with laboratory-based hyperspectral measurements作者：Cui, Lijuan; Fei, Teng; Qi, Qiong; Liu, Yaolin; Wu, Guofeng

来源出版物：INTERNATIONAL JOURNAL OF REMOTE SENSING 卷：34 期：5 页：1866-1878 DOI：10.1080/01431161.2012.730158 出版年：2013

摘要：The quality of certain plants is considered to be a key factor affecting the food habitat or migration of some herbivorous species, and, thus, to estimate the spatial and temporal variation of plant quality is crucial for understanding the grazing and migrating behaviours of these herbivores. This study aimed to explore the possibilities of estimating plant protein and phosphorus contents, with the laboratory-based hyperspectral measurements of fresh Carex leaves, which are the main food source of many wintering bird species in Poyang Lake, China. Fifty-four Carex leaf samples were collected, and their hyperspectral reflectance (at 350-2500nm) and crude protein and phosphorus contents were measured in the laboratory. The successive projections algorithm (SPA) was applied for spectral dimension reduction, and a multiple linear regression model was calibrated to estimate the crude protein and phosphorus contents from the wavelengths selected with the SPA. The model validation results showed that the root mean square errors (RMSEs) of estimation were 2.51% for crude protein and 0.06% for phosphorus. Compared with a multiple linear model with randomly selected inputs and full-spectrum partial least-square regression (PLSR), the multiple linear regression model combined with the SPA method exhibited a significant advantage in terms of accuracy in estimating the crude protein and phosphorus contents of Carex leaves.

入藏号：WOS:000323247900020

文献类型：Article

语种：English

扩展关键词：SUCCESSIVE PROJECTIONS ALGORITHM; NEAR-INFRARED SPECTROSCOPY; KRUGER-NATIONAL-PARK; NITROGEN CONCENTRATION; QUANTITATIVE-ANALYSIS; VARIABLE SELECTION; IMAGING SPECTROSCOPY; ABSORPTION FEATURES; REFLECTANCE SPECTRA; CONTINUUM REMOVAL

通讯作者地址：Wu, Guofeng ;Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址：guofeng.wu@whu.edu.cn

地址：

[Cui, Lijuan] Chinese Acad Forestry, Inst Wetland Res, Beijing 100091, Peoples R China.

[Fei, Teng; Liu, Yaolin; Wu, Guofeng] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Fei, Teng; Liu, Yaolin] Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Wuhan 430079, Peoples R China.

[Qi, Qiong] Inst Land Planning & Surveying Hubei Prov, Wuhan 430071, Peoples R China.

研究方向：Remote Sensing; Imaging Science & Photographic Technology

ISSN：0143-1161