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Extraction and Analysis of Solar-Induced Chlorophyll Fluorescence of Wheat with Ground-Based Hyperspectral Imaging System

文献类型： 外文期刊

作者： Wang Ran 1 ; Liu Zhi-gang 1 ; Feng Hai-kuan 4 ; Yang Pei-qi 1 ; Wang Qing-shan 1 ; Ni Zhuo-ya 1 ;

作者机构： 1.Chinese Acad Sci, State Key Lab Remote Sensing Sci, Beijing Normal Univ, Beijing 100875, Peoples R China

2.Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100875, Peoples R China

3.Beijing Normal Univ, Sch Geog, Beijing 100875, Peoples R China

4.Beijing Normal Univ, Beijing Key Lab Envorionmental Remote Sensing & D, Beijing 100875, Peoples R China

5.Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

关键词： Solar-induced chlorophyll fluorescence;Hyperspectral Imaging System;Remote sensing of vegetation

期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）

ISSN： 1000-0593

年卷期： 2013 年 33 卷 9 期

页码：

收录情况： SCI

摘要： Dataset simulated with FluorMOD and images of wheat in heading stage taken by a ground-based hyperspectral imaging system with 3.3 nm spectral resolution and 0.71 similar to 0.74 nm spectral sampling interval were used test the feasibility and accuracy of three FLD methods (named FLD, 3FLD and iFLD). The results show that when spectral resolution is 3.3 rim, solar-induced chlorophyll fluorescence could be extracted effectively in O-2-A band (around 760 nm) instead of O-2-B band (around 687 nm). As to the extraction results of data with noises, both FLD and 3FLD are stabler than iFLD method. The results of FLD tend to be higher than true value.

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