Extraction and Analysis of Solar-Induced Chlorophyll Fluorescence of Wheat with Ground-Based Hyperspectral Imaging System
WANG Ran1, 2, 3, LIU Zhi-gang1, 2, 3*, FENG Hai-kuan4, YANG Pei-qi1, 2, 3, WANG Qing-shan1, 2, 3, NI Zhuo-ya1, 2, 3
1. State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences, Beijing 100875, China 2. School of Geography, Beijing Normal University, Beijing 100875, China 3. Beijing Key Laboratory of Envorionmental Remote Sensing and Digital City, Beijing Normal University, Beijing 100875, China 4. Beijing Research Center for Information Technology in Agriculture, Beijing 100097，China
Abstract：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 0.71~0.74 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 nm, solar-induced chlorophyll fluorescence could be extracted effectively in O2-A band (around 760 nm) instead of O2-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.
Key words：Solar-induced chlorophyll fluorescence;Hyperspectral Imaging System;Remote sensing of vegetation
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