Volume XLI-B7
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 129-135, 2016
https://doi.org/10.5194/isprs-archives-XLI-B7-129-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 129-135, 2016
https://doi.org/10.5194/isprs-archives-XLI-B7-129-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  20 Jun 2016

20 Jun 2016

A SIMPLE INTERPRETATION OF THE RICE SPECTRAL INDICES SPACE FOR ASSESSMENT OF HEAVY METAL STRESS

P. Wang1, F. Huang1, and X. N. Liu2 P. Wang et al.
  • 1School of Geographical Sciences, Northeast Normal University, Renmin Street, Changchun, China
  • 2School of Information Engineering, China University of Geosciences, Xueyuan Road, Beijing, China

Keywords: Heavy metal stress, Hyperspectral data, Spectral indices space, Visualization, Rice

Abstract. Heavy metal stress will induce the change of the bio-parameters like chlorophyll, nitrogen and water content of rice. In this paper, we analyzed the traditional spectral index which has strong relationship in general with the three bio-parameters using hyperspectral data acquired by ASD. It is found that some indies do not work well when the heavy metal stress exists, however, some indies still has ability to estimate the above three bio-parameters. A new interpretation is proposed to classify the stress level based on both the physical mechanism analysis and the statistic model after we describe and discuss studies on the expression of spectral indices of rice under heavy metal stress. The 3-axes spectral indices spaces, which are constructed of 3 spectral indices sensitive to rice’s chlorophyll concentration, nitrogen concentration and water concentration respectively, are used to visualize the linkage between heavy metal stress and spectrum of rice canopy.