Analysis of Dust Storm Effects on Reflectance Spectra of Wheat Canopy

Document Type : علمی - پژوهشی

Authors

1 Associate Prof., Department of Soil Science, Faculty of Agriculture, Tarbiat Modares University

2 PhD student, Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran

3 Assistant Prof., Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran

Abstract

In recent years, dust storm has become a common phenomenon in West Asia and especially Iran. This phenomenon is affecting almost all aspects of life including fauna and flora as well as human life. This research aimed to investigate the effects of dust storms on the wheat canopy, that are the most important agricultural species, reflectance and best band for selected narrow band indices to discriminating wheat canopies which are under dust stress in different growing stages. Two wheat (Triticum aestivum L.) varieties, Aflak and Pishtaz, were grown in pots under controlled conditions. The treated samples were exposed to simulated dust storm, in the wind tunnel, at two growth stages including Tillering and Heading stages. In each stage the treatments were exposed in 2, 4 and 6 days. Field spectroscopy measurements were carried out at canopy level using a full range spectro-radiometer Fieldspec-3-ASD. New narrow-band vegetation indices from NDVI, RVI, PVI and SAVI2 indices were computed from the all measured canopy spectra, Tillering and Heading stageseparately. To assess the performance of the indices, the RMSE, R2 and cross-validation method were used. For most indices, the selected optimum narrow bands are very close to one another and located in visible and NIR spectral domains. The result showed that the PVI index performed the best for considering the dust effect on wheat crops. The result also show that the selected indices have better performance in the Tillering stage (  0.77; 0.63 0.80)for estimating the dusty days, compared with Heading stage (  0.91; 0.62 0.71). Therefore, determining the dusty days by narrow band indices could be done precisely in the early stage of wheat growing.

Keywords

References

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Iranian Journal of Remote Sensing & GIS
Volume 7, Issue 4 - Serial Number 4
November 2015
Pages 13-26

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