Winter wheat geometry identification by bidirectional canopy reflected spectrum

Authors

  • Huang Wenjiang National Engineering Research Center for Information Technology in Agriculture
  • Wang Jihua National Engineering Research Center for Information Technology in Agriculture
  • Wang Zhijie National Engineering Research Center for Information Technology in Agriculture
  • Ma Zhihong National Engineering Research Center for Information Technology in Agriculture
  • Zhao Chunjiang National Engineering Research Center for Information Technology in Agriculture

Abstract

Effect of crop leaf angle on canopy reflected spectrum cannot be ignored in the inversion of leaf area index (LAI) and the monitoring of the crop growth condition using remote sensing technology. In this study, experiments on winter wheat (Triticum aestivum L.) were conducted to identify crop leaf angle distribution (LAD) by bidirectional canopy reflected spectrum. Canopy reflected spectrum has significant differences among erectophile, planophile and horizontal geometry varieties at essentially the same LAI value. Canopy reflectance value at near infrared of the erectophile variety was lower than that of the horizontal variety. The effects of LAI and crop LAD on canopy reflectance were studied among erectophile, planophile and horizontal LAD varieties. The Standard Deviation (STDEV) of canopy reflectance at the near infrared bands (800 nm and 1100 nm) was more significant than those of visible bands (450 nm, 550 nm, 680 nm). It indicates that near infrared bands could be used for different LAD wheat varieties identification. The method for identification of crop geometry parameters was by the bidirectional canopy reflectance at different wave bands and view
angles. The bidirectional reflectance of visible and near infrared bands at 15°, 30°and 45°field of view for the main viewing plane could be used for identification of erectophile, planophile and horizontal LAD varieties based on bidirectional data. For erectophile varieties, the bidirectional canopy reflectance at near infrared was f45°

Author Biographies

Huang Wenjiang, National Engineering Research Center for Information Technology in Agriculture

remote sensing, GIS, and GPS application in agriculture

PhD and associate professor

Wang Jihua, National Engineering Research Center for Information Technology in Agriculture

National Engineering Research Center for Information Technology in Agriculture

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Published

2008-12-12

How to Cite

Wenjiang, H., Jihua, W., Zhijie, W., Zhihong, M., & Chunjiang, Z. (2008). Winter wheat geometry identification by bidirectional canopy reflected spectrum. International Journal of Agricultural and Biological Engineering, 1(2), 27–31. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/9

Issue

Vol. 1 No. 2 (2008): IJABE

Section

Information Technology, Sensors and Control Systems

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