Differences in plant canopy bi-directional reflectance factors among rice varieties

被引:0
|
作者
Kunihiko Yoshino
Keiji Kushida
Yoshinori Ishioka
机构
[1] Graduate school of Systems and Information Engineering,Institute of Policy and Planning Sciences
[2] Hokkaido University W8 N19,Institute of Low Temperature Science
[3] 1-1-2 Higashiyama,Pasco Corporation
来源
关键词
Remote sensing; Spectral reflectance; Classification; Student t-test;
D O I
暂无
中图分类号
学科分类号
摘要
We statistically discuss the possible ways to classify rice varieties using canopy bi-directional reflectance factor (BRF) data. Fourteen varieties of rice (Oryza sativa L.) were grown in an experimental paddy field where environmental conditions such as soil, nutrients, water supply, and local climate were homogeneous. Spectral reflectance of each of the rice varieties was measured at nadir and at off-nadir angles of 45°, 30°, 15°, −15°, −30°, and −45° on both the principal and perpendicular planes at intervals of 1 nm from 400 to 850 nm. The reflectances in green (550–560 nm), red (675–685 nm), and near infrared (745–749 nm) bands at every measuring angle were computed for each rice variety. As a result of unpaired Student t-tests, the number of pairs of rice varieties that can be statistically distinguished using BRF data was larger than the number that can be distinguished using just the spectral reflectance data at the nadir angle. The difference in BRF among rice varieties was statistically significant.
引用
收藏
页码:153 / 162
页数:9
相关论文
共 50 条
  • [31] Polarization Properties of Rough Surfaces Based on Polarized Bi-Directional Reflectance Distribution Function
    Zhang Yanjun
    Wang Xia
    He Si
    ACTA OPTICA SINICA, 2018, 38 (03)
  • [32] Retrieval of tropical forest structure characteristics from bi-directional reflectance of SPOT images
    de Wasseige, C
    Defourny, P
    REMOTE SENSING OF ENVIRONMENT, 2002, 83 (03) : 362 - 375
  • [33] Mid-infrared bi-directional reflectance spectroscopy of impact melt glasses and tektites
    Morlok, Andreas
    Stojic, Aleksandra
    Weber, Iris
    Hiesinger, Harald
    Zanetti, Michael
    Helbert, Joern
    ICARUS, 2016, 278 : 162 - 179
  • [34] Laboratory characterization of a CCD camera system for retrieval of bi-directional reflectance distribution function
    Nandy, P
    Thome, K
    Biggar, S
    SENSORS, SYSTEMS, AND NEXT-GENERATION SATELLITES III, 1999, 3870 : 243 - 253
  • [35] Bi-directional reflectance study on particulate layers: Effects of pore liquid absorption coefficient
    Voss, Kenneth J.
    Zhang, Hao
    JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER, 2007, 105 (03): : 405 - 413
  • [36] VARIATION OF DIRECTIONAL REFLECTANCE FACTORS WITH STRUCTURAL-CHANGES OF A DEVELOPING ALFALFA CANOPY
    KIRCHNER, JA
    KIMES, DS
    MCMURTREY, JE
    APPLIED OPTICS, 1982, 21 (20): : 3766 - 3774
  • [37] Estimation of forest canopy structural parameters using kernel-driven bi-directional reflectance model based multi-angular vegetation indices
    Sharma, Ram C.
    Kajiwara, Koji
    Honda, Yoshiaki
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2013, 78 : 50 - 57
  • [38] Bi-directional communication among "Smart" components in a networked control system
    Cakmakci, M
    Ulsoy, AG
    ACC: Proceedings of the 2005 American Control Conference, Vols 1-7, 2005, : 627 - 632
  • [39] Measurement and simulation of bi-directional reflectance on three zonal soils in the south-east of China
    Cheng, J. L.
    Shi, Z.
    Li, H. Y.
    NEW ZEALAND JOURNAL OF AGRICULTURAL RESEARCH, 2007, 50 (05) : 1177 - 1185
  • [40] DIFFUSE BI-DIRECTIONAL REFLECTANCE ANALYSIS TO OUTLINE ALTERATION PATTERNS AT THE CORTEZ GOLD MINE, NEVADA
    GLADWELL, DR
    LETT, RE
    CIM BULLETIN, 1984, 77 (863): : 88 - 88