Analysis of Directional Characteristics of Winter Wheat Canopy Spectra
ZHANG Xue-hong1，2，TIAN Qing-jiu1，SHEN Run-ping2
1. International Institute for Earth System Science，Nanjing University，Nanjing 210093，China 2. School of Remote Sensing，Nanjing University of Information Science & Technology，Nanjing 210044，China
Abstract：The bidirectional reflectance factors vary as the incidence directions and the view angles change. At present the remote sensing is almost at nadir, therefore it is possible to improve the accuracy of remote sensing application by reasonably selecting the looking angle, solar zenith angle, and so on. Based on the multidirectional spectra of winter wheat canopy at several critical growth stages, the paper quantitatively analyzed the sensitivity of narrowband bidirectional reflectance to view planes, view zenith angle, solar zenith angle, growth stage, and band by using anisotropy factor (ANIF) and anisotropy index (ANIX). The change of NDVI with view zenith angle, solar zenith angle and growth stage was also studied. The results show that the anisotropy characteristics of bidirectional reflectance factors at solar principal plane was stronger than that at the other planes, and orthogonal principal plane was the weakest. The ANIX at solar principal plane was the biggest. The reason was that the shadow of canopy changed more dramatically at solar principal plane than at the other planes. The sensitivity of bidirectional reflectance factor at visible bands to zenith angles was stronger than in near infrared regions, the reason for which was that the shadow effect in visible regions was stronger than in near infrared regions. The ANIX in visible regions was bigger than in near infrared regions. The sensitivity of bidirectional reflectance factor to solar zenith angles increased as the view zenith angle increased. The NDVIs at every looking zenith angle all increased with the leaf area index increasing. The NDVIs at forward direction were larger than at backward direction, which resulted from that the shadow effect in visible regions was stronger than in near infrared regions. The solar principal plane implies rich internal structure information on object. In order to reduce the uncertainty from the observing method, the near infrared bands and small solar zenith angle should be chosen. The retrieve of structure parameters ought to select solar principal plane, and avoid hot spot region when inversing biological parameters using NDVI.
[1] WANG Jin-di，ZHANG Li-xin，LIU Qin-huo，et al(王锦地，张立新，柳钦火, 等). Spectral Knowledge Database of Typical Objects in China(中国典型地物波谱知识库). Beijing：Science Press(北京：科学出版社)，2009. 172. [2] Kimes K S. Appl. Opt., 1983，22：1364. [3] Kimes K S, Newcomb W W, Ross F N, et al. IEEE Trans. Geoscience and Remote Sensing, 1986，24：281. [4] Leroy M, Francois M B. Remote Sens. Environ., 1996，57(2)：97. [5] Deering D W, Thomas F E, Toby G. IEEE Trans. Geoscience and Remote Sensing, 1992，30：339. [6] Bicheron P, Leroy M, Hautecoeur O. Journal of Geoph. Res., 1997，102：29517. [7] Sandmeier S, Muller C, Hosgood B, et al. Remote Sens. Environ., 1998，66：222. [8] Sandmeier S, Muller C, Hosgood B, et al. Remote Sens. Environ., 1998，64：176. [9] Sandmeier S, Middleton E M, Deering D W, et al. Journal of Geoph. Res., 1999，104：9547. [10] ZHANG Xue-hong, ZHAO Feng, LIU Shao-min, et al(张雪红，赵 峰，刘绍民, 等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报)，2006，22(6)：7. [11] HUANG Wen-jiang，WANG Jin-di，MU Xi-han，et al(黄文江，王锦地，穆西晗, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2007，27(10)：1921. [12] ZHAO Chun-jiang，HUANG Wen-jiang，WANG Ji-hua，et al(赵春江，黄文江，王纪华, 等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报)，2006，22(6)：104. [13] Middleton E M. Remote Sens. Environ., 1991，38：45. [14] XIAO Chun-hua，LI Shao-kun，WANG Ke-ru，et al(肖春华，李少昆，王克如, 等). Scientia Agricultura Sinica(中国农业科学)，2008，41(8)：2271. [15] QIN Wen-han，XIANG Yue-qin(覃文汉，项月琴). Remote Sensing of Environment China(环境遥感)，1996，11(4)：285.
