Evaluation of OLI Sensor Images Potential in the Separation of six Iranian WheatVarieties Differentiation using Spectral Library

Bigdeli, Behnam; Valadan Zoj, Mohammad Javad; Maghsoudi Mehrani, Yaser

doi:10.22131/sepehr.2015.14003

Document Type : Research Paper

Authors

¹ M.S. in remote sensing, faculty of geomatic, Khaje Nasir Toosi University

² Associate professor of photogrammetry and remote sensing faculty of geomatic, Khaje Nasir Toosi University

³ Assistant professor of Photogrammetry and remote sensing , faculty of geomatic, Khaje Nasir Toosi University

https://doi.org/10.22131/sepehr.2015.14003

Abstract

Collecting information on the areas under cultivation of wheat and the amount of its products provides the successful and sustainable management in the economic policy-makingfor this strategic product. Introduction of high spectral and special resolution satellite data has enabled the production of such information in a timely and accurate manner. Investigating the spectral reflection of plants using field spectrometry and forming a spectral library increases the possibility of differentiating various wheat cultivars and preparing their distribution map. For this purpose, the spectral behavior curves for 6 wheat cultivars named Bahar, Chamran, Pishtaz, Shiraz, Shiroodi and Yavaros, were measured at three stages of growth at the ‘Research Institute of Seed and plant improvement " of Karaj in Iran. Observations were obtained by the ASD FieldSpec®3 Field Spectrometerin the range of 350-2500 nm wavelength under natural light and natural conditions. In the pre-processing stage, three noisy ranges affected by water vapor were detected and eliminated to enhance the gathered data quality. Then,in order to qualitatively collect the data, wrong observations were excluded using statistical methods. This research was designed and implemented in two main steps. In the first step, the spectral response function of the OLI sensor installed on the Landsat 8 satellite was applied to the library's spectra. Then, using the spectral similarity criteria and the twenty seven important vegetation indices sensitive to chlorophyll concentration, photosynthesis intensity, nitrogen and water content in the crown of the plant, etc., the extreme final resolution of wheat cultivars under study, was estimated.In the second step, the classification of the identified farms was carried out by conducting a field survey of the studied area and obtaining satellite images of the target sensor using spectral library spectra. The results showed a significant separabilityof Yavarus wheat variety from other cultivars, both in field spectra and satellite images.

Keywords

20.1001.1.25883860.1394.24.93.1.8

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Scientific- Research Quarterly of Geographical Data (SEPEHR)

Evaluation of OLI Sensor Images Potential in the Separation of six Iranian WheatVarieties Differentiation using Spectral Library

References

References

Volume 24, Issue 93 - Serial Number 93
June 2015
Pages 5-26

Evaluation of OLI Sensor Images Potential in the Separation of six Iranian WheatVarieties Differentiation using Spectral Library

References

References

Volume 24, Issue 93 - Serial Number 93June 2015Pages 5-26

Volume 24, Issue 93 - Serial Number 93
June 2015
Pages 5-26