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Research Article Open access CC BY 4.0

Applicability of Monitoring Peanut Reflectance Using Hyperspectral Data for Precision Agriculture in East Nile Delta, Egypt

M. M. El-Sharkawy, E. Farg, S. M. Arafat, M. S. Abd El-Wahed

Journal of Agriculture and Ecology Research International · pp. 1–10 · Published 28 Jun 2016

10.9734/JAERI/2016/20623

Abstract

Hyperspectral ground measurements can be used for giving timely information about crops in specific areas and thereby providing valuable data for decision makers. In the current study, ASD field Spec4 spectroradiometer were used to monitor the variation and differences of the summer crop vegetation cover reflectance. Furthermore, two hyperspectral vegetation indices calculated from the data represented by Normalized Difference Vegetation Index NDVIHS and Soil Adjusted Vegetation Index SAVIHS in east Nile Delta, Egypt. The results obtained showed that the mid- season stage had the highest values of calculated VI’s that return to the high reflection from the plant canopy at the near infrared and high absorption at the red wavelength, also the initial growth stage VI’s values lower than the mid- season stage and higher than the late season. In addition, the analysis of spectral signatures differences showed the late growth stage was the highest reflection overall the visible range (blue, green and red). Results of Tukey’s HSD showed that blue, Red and NIR spectral zones are more sufficient in the monitoring differences between peanut growth stages than green, SWIR-1 and SWIR-2 spectral zones.

Peanut reflectance hyperspectral indices arid land

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Cited by 1

Seeing the Green from Above: A Review of Remote Sensing Techniques for Vegetation Cover Discrimination

G. Khdery, M. Shokr, Aleksandra O. Utkina · Sustainability · 2026

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