| 光谱学与光谱分析 |
|
|
|
|
|
| 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.
|
|
Received: 2012-11-15
Accepted: 2013-03-26
|
|
|
|
Corresponding Authors:
LIU Zhi-gang
E-mail: zhigangliu@bnu.edu.cn
|
|
[1] Baker N R, Annual Reviews of Plant Biology, 2008，59(6): 89.
[2] European Space Agency. ESA SP-1313/4 Candidate Earth Explorer Core Missions—Reports for Assessment: FLEX-FLuorescence EXplorer. in Assessment. 2008.
[3] Sobrino J A, Franch B, Jimenez-Muoz J C, et al. International Journal of Remote Sensing, 2011, 32(20): 5875.
[4] Zarco-Tejada P J, González-Dugo V, Berni J A, Remote Sensing of Environment, 2012(2), 117: 322.
[5] Moya I. Remote Sensing of Environment, 2004, 91(2): 186.
[6] Alonso L, Gómez-chova L, Vila-francés J, et al. IEEE Geoscience and Remote Sensing Letters, 2008, 5(4): 620.
[7] Meroni M, Rossini M, Guanter L, et al. Remote Sensing of Environment, 2009, 113(10): 2037.
[8] Miller J R, Berger M, Goulas Y, et al, Development of a Vegetation Fluorescence Canopy Model. ESTEC Contract No. 1635/02/NL/FF, Final Report. 2005.
[9] Zarco-Tejada P J, Miller, J R, Pedrós R, et al. Computers & Geosciences, 2006, 32(5): 577.
[10] Damm A, Erler A, Hillen W, et al. Remote Sensing of Environment, 2011, 115(8): 1882. |
| [1] |
ZHANG Xiao-yan, HOU Xue-hui, WANG Meng, WANG Li-li*, LIU Feng*. Study on Relationship Between Photosynthetic Rate and Hyperspectral Indexes of Wheat Under Stripe Rust Stress[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(03): 940-946. |
| [2] |
DUAN Wei-na1, 2, JING Xia1*, LIU Liang-yun2, ZHANG Teng1, ZHANG Li-hua3. Monitoring of Wheat Stripe Rust Based on Integration of SIF and Reflectance Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(03): 859-865. |
| [3] |
LIU Yang1, 4, 5, ZHANG Han2, FENG Hai-kuan1, 3, 5*, SUN Qian1, 5, HUANG Jue4, WANG Jiao-jiao1, 5, YANG Gui-jun1, 5. Estimation of Potato Above Ground Biomass Based on Hyperspectral Images of UAV[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(09): 2657-2664. |
| [4] |
LIU Wei, SUN Hai-xia, YANG Xiao-bo, DONG Jian-min. Spectral Reflectance Characteristics of Alpine Grassland Based on Derivative and Logarithmic Transform Spectra —Take HJ-1A/HSI Images of Naqu Prefecture as an Example[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(07): 2200-2207. |
| [5] |
ZHAO Ye1，3, JING Xia1*, HUANG Wen-jiang2, DONG Ying-ying2, LI Cun-jun3. Comparison of Sun-Induced Chlorophyll Fluorescence and Reflectance Data on Estimating Severity of Wheat Stripe Rust[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(09): 2739-2745. |
| [6] |
JIAO Jian-nan, ZHAO Hai-meng, YANG Bin, YAN Lei* . Investigation of Multi-Angle Polarization Properties of Vegetation Based on RSP [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(02): 454-458. |
| [7] |
YANG Pei-qi1, 2, 3, LIU Zhi-gang1, 2, 3*，NI Zhuo-ya1, 2, 3, WANG Ran1, 2, 3，WANG Qing-shan1, 2, 3 . Remote Sensing of Chlorophyll Fluorescence at Airborne Level Based on Unmanned Airship Platform and Hyperspectral Sensor [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(11): 3101-3105. |
| [8] |
WANG Da-cheng1, 2, ZHANG Dong-yan1, 2, ZHAO Jin-ling1, LI Cun-jun1, ZHU Da-zhou1, HUANG Wen-jiang1, LI Yu-fei3, YANG Xiao-dong1* . Using Extraction of Red Edge Position to Validate Consistency of Hyperspectral Imaging and Non-Imaging Data[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31(09): 2450-2454. |
| [9] |
ZHANG Dong-yan1, 2, LIU Rong-yuan2, 3, SONG Xiao-yu2, XU Xin-gang2, HUANG Wen-jiang2, ZHU Da-zhou2, WANG Ji-hua1, 2*. A Field-Based Pushbroom Imaging Spectrometer for Estimating Chlorophyll Content of Maize[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31(03): 771-775. |
|
|
|
|
