| 光谱学与光谱分析 |
|
|
|
|
|
| Hyperspectral Prediction Model for Maize Leaf SPAD in the Whole Growth Period |
| CHEN Zhi-qiang, WANG Lei*, BAI You-lu, YANG Li-ping, LU Yan-li, WANG He, WANG Zhi-yong |
| Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences/Key Laboratory of Plant Nutrition and Fertilizer, Ministry of Agriculture, Beijing 100081, China |
|
|
|
|
Abstract In the present article, a 2-year maize field experiment for the whole growth period was conducted. Hyperspectral data and chlorophyll contents (SPAD) of maize leaves were measured respectively using portable spectrometer and SPAD-502 chlorophyll meter. Various spectral parameters were selected to build construct prediction models for maize leaf SPAD in annual growth periods based on correlation analysis of the two factors, and detailed validation and evaluation were made. The results showed that there was little difference between the mean curves of spectral reflectance or its first derivative in the two years; the sensitive areas were basically the same about the correlation coefficient curves of leaf SPAD and spectral reflectance or its first derivative; prediction models built with spectral parameters based on first derivative were unstable; prediction models built with LCI，DSI(R550around, R680around) and DSI(R680around, R710around) were all in good conditions, and maize leaf SPAD could be effectively predicted.
|
|
Received: 2013-01-12
Accepted: 2013-03-22
|
|
|
|
Corresponding Authors:
WANG Lei
E-mail: wanglei02@caas.cn
|
|
[1] Szeles A V, Megyes A, Nagy J. Agricultural Water Management, 2012, 107: 133.
[2] Houles V, Guerif M, Mary B. European Journal of Agronomy, 2007, 27: 1.
[3] YANG Jie, TIAN Yong-chao, YAO Xia, et al(杨 杰, 田永超, 姚 霞, 等). Acta Ecologica Sinica(生态学报), 2009, 29(12): 6561.
[4] Shi Jiyong, Zou Xiaobo, Zhao Jiewen, et al. Scientia Horticulturae, 2012, 138: 190.
[5] Zou Xiaobo, Shi Jiyong, Hao Limin, et al. Analytica Chimica Acta, 2011, 706: 105.
[6] Yi Peng, Gitelson A A, Keydan G, et al. Remote Sensing of Environment, 2011, 115: 978.
[7] Uddling J, Alfredsson J G, Piikki K. Photosynthesis Research, 2007, 91: 37.
[8] ZHAO Shi-cheng, HE Ping, QIU Shao-jun, et al(赵士诚, 何 萍, 仇少君, 等). Plant Nutrition and Fertilizer Science(植物营养与肥料学报), 2011, 17(5): 1091.
[9] Errecart P M, Agnusdei M G, Lattanzi F A, et al. Field Crops Research, 2012, 129: 46.
[10] Silva T R B D, Reis A C D S, Maciel C D D G. Industrial Crops and Products, 2012, 39: 135.
[11] ZOU Hong-yu, DING Li-xia(邹红玉, 丁丽霞). Remote Sensing Information(遥感信息), 2011, 117: 71.
[12] Shrestha S, Brueck H, Asch F. Journal of Photochemistry and Photobiology B: Biology, 2012, 113: 7.
[13] Chen Pengfei, Haboudane D, Tremblay N, et al. Remote Sensing of Environment, 2010, 114: 1987.
[14] Daughtry C S T, Walthall C L, Kim M S, et al. Remote Sensing of Environment, 2000, 74: 229.
[15] YAO Xia, ZHU Yan, TIAN Yong-chao, et al(姚 霞, 朱 艳，田永超，等). Scientia Agricultura Sinica(中国农业科学), 2009, 42(8): 2716. |
| [1] |
SHI Wen-qiang1, XU Xiu-ying1*, ZHANG Wei1, ZHANG Ping2, SUN Hai-tian1, 3, HU Jun1. Prediction Model of Soil Moisture Content in Northern Cold Region Based on Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1704-1710. |
| [2] |
ZHENG Yi1, 2, 3, WANG Yao1, 2, LIU Yan1, 2*. Study on Classification and Recognition of Mountain Meadow Vegetation Based on Seasonal Characteristics of Hyperspectral Data[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1939-1947. |
| [3] |
YU Yue, YU Hai-ye, LI Xiao-kai, WANG Hong-jian, LIU Shuang, ZHANG Lei, SUI Yuan-yuan*. Hyperspectral Inversion Model for SPAD of Rice Leaves Based on Optimized Spectral Index[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1092-1097. |
| [4] |
TANG Yu-zhe, HONG Mei, HAO Jia-yong, WANG Xu, ZHANG He-jing, ZHANG Wei-jian, LI Fei*. Estimation of Chlorophyll Content in Maize Leaves Based on Optimized Area Spectral Index[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(03): 924-932. |
| [5] |
NIU Teng1, 3, LU Jie1, 2*, YU Jia-xin4, WU Ying-da5, LONG Qian-qian3, YU Qiang3. Research on Inversion of Water Conservation Distribution of Forest Ecosystem in Alpine Mountain Based on Spectral Features[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 530-536. |
| [6] |
CHEN Mei-chen, YU Hai-ye, LI Xiao-kai, WANG Hong-jian, LIU Shuang, KONG Li-juan, ZHANG Lei, DANG Jing-min, SUI Yuan-yuan*. Response Analysis of Hyperspectral Characteristics of Maize Seedling Leaves Under Different Light and Temperature Environment[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(11): 3545-3551. |
| [7] |
SHENG Hui1, CHI Hai-xu1, XU Ming-ming1*, LIU Shan-wei1, WAN Jian-hua1, WANG Jin-jin2. Inland Water Chemical Oxygen Demand Estimation Based on Improved SVR for Hyperspectral Data[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(11): 3565-3571. |
| [8] |
ZHANG Zi-han1, YAN Lei1,2, LIU Si-yuan1, FU Yu1, JIANG Kai-wen1, YANG Bin3, LIU Sui-hua4, ZHANG Fei-zhou1*. Leaf Nitrogen Concentration Retrieval Based on Polarization Reflectance Model and Random Forest Regression[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(09): 2911-2917. |
| [9] |
LIU Tan1, 2, XU Tong-yu1, 2*, YU Feng-hua1, 2, YUAN Qing-yun1, 2, GUO Zhong-hui1, XU Bo1. Chlorophyll Content Estimation of Northeast Japonica Rice Based on Improved Feature Band Selection and Hybrid Integrated Modeling[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(08): 2556-2564. |
| [10] |
XIA Tian1*, YANG Ke-ming2, FENG Fei-sheng3, GUO Hui4, ZHANG Chao2. A New Copper Stress Vegetation Index NCSVI Explores the Sensitive Range of Corn Leaves Spectral Under Copper Pollution[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(08): 2604-2610. |
| [11] |
Nigela Tuerxun1, Sulei Naibi2, GAO Jian3, SHEN Jiang-long1, ZHENG Jiang-hua1*, YU Dan-lin4. Chlorophyll Content Estimation of Jujube Leaves Based on GWLS-SVR Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(06): 1730-1736. |
| [12] |
HAN Qian-qian, YANG Ke-ming*, LI Yan-ru, GAO Wei, ZHANG Jian-hong. SVD-ANFIS Model for Predicting the Content of Heavy Metal Lead in Corn Leaves Using Hyperspectral Data[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(06): 1930-1935. |
| [13] |
ZHANG Jian-hong, YANG Ke-ming*, HAN Qian-qian, LI Yan-ru, GAO Wei. Predicting the Copper Pollution Information of Corn Leaves Spectral Based on an IWD-Hankel-SVD Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(05): 1505-1512. |
| [14] |
LI Xin-xing1, GUO Wei1, BAI Xue-bing1, YANG Ming-song2*. Review on the Application of Spectroscopy Technology in Aquatic Product Quality Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(05): 1343-1349. |
| [15] |
LI Xiong, LIU Yan-de*, SUN Xu-dong, OUYANG Ai-guo, JIANG Xiao-gang, WANG Guan-tian, OUYANG Yu-ping. Interent Relation Between the Light Transmission Law and Quality Attributes of Watermelon[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(10): 3265-3270. |
|
|
|
|
