Current Science

Open Access Open Access  Restricted Access Subscription Access

Mechanisms Underlying Diurnal Variations in the Canopy Spectral Reflectance of Winter Wheat in the Jointing Stage


Affiliations
1 International Institute for Earth System Science, School of Geographic and Oceanographic Sciences, Nanjing University, No.163, Xianlin Avenue, Qixia District, Nanjing, China
2 School of Urban and Rural Planning and Landscape Architecture, Xuchang University, No. 88, Bayi Road, Weidu District, Xuchang, China
3 Aerospace Information Research Institute, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 20, Datun Road, Chaoyang District, Beijing, China
4 Henan Key Laboratory of Big Data Analysis and Processing, School of Computer and Information Engineering, Henan University, Jinming Avenue, Longting District, Kaifeng, China
 

Information regarding diurnal variations in vegetation canopy spectra and vegetation indices (VIs) is necessary for plant growth modelling. We analysed the diurnal change characteristics of canopy spectral reflectance and VIs of winter wheat in the jointing stage based on field-measured and simulated spectral data. The visible–near infrared reflectance showed a double peak followed by a deep trough. The double-peak period occurred from 11:00 to 13:00 h (UTC + 8), and reflectance fluctuated greatly during this period. This change was attributed to midday depression of photosynthesis caused by stomatal closure induced by strong solar radiation. We found that the vegetation canopy reflectance was mainly affected by photosynthesis rate, solar irradiation intensity and surplus leaf water content. All selected VIs (normalized difference vegetationindex (NDVI), photochemical reflectance index (PRI), water band index (WBI) and mSR705) exhibited distinct intraday variations, and VIs during the double-peak period tended to fluctuate strongly or decrease (NDVI, WBI and mSR705). Thus, field measurements during the double-peak period are not recommended for winter wheat in the jointing stage, with the exception of carotenoid content monitoring. A comparison of VIs showed that SVNIR, NDVI and mSR705 were more sensitive to canopy structure in comparison with PRI and WBI.

Keywords

Canopy Reflectance, Diurnal Variation, Jointing Stage, Photosynthesis Rate, Winter Wheat.
User
Notifications
Font Size

  • Sui, J. et al., Winter wheat production estimation based on environmental stress factors from satellite observations. Remote Sensing, 2018, 10, 962.

  • Huete, A., Jackson, R. and Post, D., Spectral response of a plant canopy with different soil backgrounds. Remote Sensing Environ., 1985, 17, 37–53.

  • Hatfield, J. L. and Prueger, J. H., Value of using different vegetative indices to quantify agricultural crop characteristics at different growth stages under varying management practices.Remote Sensing, 2010, 2, 562–578.

  • Quemada, M., Gabriel, J. L. and Zarco-Tejada, P., Airborne hyperspectral images and ground-level optical sensors as assessment tools for maize nitrogen fertilization. Remote Sensing, 2014, 6, 2940–2962.

  • Cosh, M. et al., Downscaling of surface soil moisture retrieval by combining MODIS/landsat and in situmeasurements. Remote Sensing, 2018, 10, 210.

  • Ding, Y., Zheng, X., Zhao, K., Xin, X. and Liu, H., Quantifying the impact of NDVIsoildetermination methods and NDVIsoil variability on the estimation of fractional vegetation cover in northeast China. Remote Sensing, 2016, 8, 29.

  • Huang, S. et al., Potential of rapid eye and world view-2 satellite data for improving rice nitrogen status monitoring at different growth stages. Remote Sens., 2017, 9, 227.

  • Li, S. et al., Correlation between spectral characteristics and diurnal CO2budget of winter wheat field on Loess plateau. Chin. J. Appl. Ecol., 2008, 19, 2408–2413.

  • Mõttus, M. et al., Measurement of diurnal variation in needle PRI and shoot photosynthesis in a boreal forest. Remote Sensing, 2018, 10, 1–14.

  • Guo, J., Wang, Q., Tong, Y., Fei, D. and Liu, J., Effect of solar radiation intensity and observation angle on canopy reflectance hyperspectra for winter wheat. Nongye Gongcheng Xuebao/Trans.Chinese Soc. Agric. Eng., 2016, 32, 157–163.

  • Sticksel, E., Schächtl, J., Huber, G., Liebler, J. and Maidl, F. X., Diurnal variation in hyperspectral vegetation indices related to winter wheat biomass formation. Precis. Agric., 2004, 5, 509–520.

  • Chen, J., Jönsson, P., Tamura, M., Gu, Z., Matsushita, B. and Eklundh, L., A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter. Remote Sensing Environ., 2004, 91, 332–344.

  • Jacquemoud, S. et al., PROSPECT + SAIL models: a review of use for vegetation characterization. Remote Sensing Environ., 2009, 113, S56–S66.

  • Dian, Y. and Fang, S., Simulation analysis of vegetation TOA reflectance based on coupled leaf–canopy–atmosphere radiative transfer model. Remote Sensing Land Resour., 2013, 25, 30–37.

  • Hosgood, B., Jacquemoud, S., Andreoli, G., Verdebout, J., Pedrini, G., and Schmuck, G., Leaf Optical Properties EXperiment 93 (LOPEX93). Eur. Comm. Jt. Res. Centre, Inst. Remote Sens. Appl.Rep. EUR 16095 EN, 1994.

  • Rouse, J. W., Hass, R. H., Schell, J. A. and Deering, D. W., Monitoring vegetation systems in the great plains with ERTS. In Third Earth Resour. Technol. Satell. Symp., 1973, vol. 1, pp. 309– 317.

  • Gamon, J. A., Peñuelas, J. and Field, C. B., A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency. Remote Sensing Environ., 1992, 41, 35–44.

  • Penuelas, J., Pinol, J., Ogaya, R. and Filella, I., Estimation of plant water concentration by the reflectance water index WI (R900/R970). Int. J. Remote Sensing, 1997, 18, 2869–2875.

  • Sims, D. A. and Gamon, J. A., Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages. Remote Sensing Environ., 2002, 81, 337–354.

  • Prasad, A. K., Chai, L., Singh, R. P. and Kafatos, M., Crop yield estimation model for Iowa using remote sensing and surface parameters. Int. J. Appl. Earth Obs. Geoinf., 2006, 8, 26–33.

  • Gamon, J. A., Kovalchuck, O., Wong, C. Y. S., Harris, A. and Garrity, S. R., Monitoring seasonal and diurnal changes in photosynthetic pigments with automated PRI and NDVI sensors.Biogeosciences, 2015, 12, 4149–4159.

  • Sawada, S. I., An ecophysiological analysis of the difference between the growth rates of young wheat seedlings grown in various seasons. J. Fac. Sci. Univ. Tokyo III, 1970, 10, 233–263.

  • Maskell, E. J., Experimental researches on vegetable assimilation and respiration. XVII – The diurnal rhythm of assimilation in leaves of cherry laural at ‘limiting’ concentrations of carbon dioxide. Proc. R. Soc. London Ser. B, 1928, 102, 467–487.

  • Yu, Y. and Liu, T., Study of the ecology of photo-effect on the plants I. Cause of Midnap in the wheat. Acta Phytophysiol. Sin., 1985, 5, 336–342.

  • Tian, J. and Philpot, W. D., Soil directional (biconical) reflectance in the principal plane with varied illumination angle under dry and saturated conditions. Opt. Express, 2018, 26, 23883–23897.


Abstract Views: 391

PDF Views: 123




  • Mechanisms Underlying Diurnal Variations in the Canopy Spectral Reflectance of Winter Wheat in the Jointing Stage

Abstract Views: 391  |  PDF Views: 123

Authors

Yinghao Lin
International Institute for Earth System Science, School of Geographic and Oceanographic Sciences, Nanjing University, No.163, Xianlin Avenue, Qixia District, Nanjing, China
Huaifei Shen
School of Urban and Rural Planning and Landscape Architecture, Xuchang University, No. 88, Bayi Road, Weidu District, Xuchang, China
Qingjiu Tian
International Institute for Earth System Science, School of Geographic and Oceanographic Sciences, Nanjing University, No.163, Xianlin Avenue, Qixia District, Nanjing, China
Xingfa Gu
Aerospace Information Research Institute, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 20, Datun Road, Chaoyang District, Beijing, China
Ranran Yang
International Institute for Earth System Science, School of Geographic and Oceanographic Sciences, Nanjing University, No.163, Xianlin Avenue, Qixia District, Nanjing, China
Baojun Qiao
Henan Key Laboratory of Big Data Analysis and Processing, School of Computer and Information Engineering, Henan University, Jinming Avenue, Longting District, Kaifeng, China

Abstract


Information regarding diurnal variations in vegetation canopy spectra and vegetation indices (VIs) is necessary for plant growth modelling. We analysed the diurnal change characteristics of canopy spectral reflectance and VIs of winter wheat in the jointing stage based on field-measured and simulated spectral data. The visible–near infrared reflectance showed a double peak followed by a deep trough. The double-peak period occurred from 11:00 to 13:00 h (UTC + 8), and reflectance fluctuated greatly during this period. This change was attributed to midday depression of photosynthesis caused by stomatal closure induced by strong solar radiation. We found that the vegetation canopy reflectance was mainly affected by photosynthesis rate, solar irradiation intensity and surplus leaf water content. All selected VIs (normalized difference vegetationindex (NDVI), photochemical reflectance index (PRI), water band index (WBI) and mSR705) exhibited distinct intraday variations, and VIs during the double-peak period tended to fluctuate strongly or decrease (NDVI, WBI and mSR705). Thus, field measurements during the double-peak period are not recommended for winter wheat in the jointing stage, with the exception of carotenoid content monitoring. A comparison of VIs showed that SVNIR, NDVI and mSR705 were more sensitive to canopy structure in comparison with PRI and WBI.

Keywords


Canopy Reflectance, Diurnal Variation, Jointing Stage, Photosynthesis Rate, Winter Wheat.

References





DOI: https://doi.org/10.18520/cs%2Fv118%2Fi9%2F1401-1406