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Assessing the variation of nitrogen and carbon in healthy and lodged wheat crops using Sentinel-2 and field spectroscopy measurements

Alonge, Oyetoun O. (2024) Assessing the variation of nitrogen and carbon in healthy and lodged wheat crops using Sentinel-2 and field spectroscopy measurements.

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Abstract:This study estimates foliar nitrogen and carbon content in healthy and lodged wheat using hyperspectral remote sensing and Sentinel-2 data. Field data from Bonifiche Ferraresi farm in Italy were collected, and leaf samples underwent wet chemistry analysis to determine nitrogen and carbon content. Various vegetation indices were used to estimate these biochemical parameters, with narrowband NDVI providing the most accurate predictions. Significant spectral bands were identified using Pearson’s correlation, and Partial Least Squares Regression (PLSR) was applied to estimate nitrogen and carbon content in both lodged and healthy wheat. Lodged wheat showed higher reflectance in the visible, near-infrared, and shortwave infrared regions, leading to more accurate predictions for its biochemical parameters compared to healthy wheat. The study revealed that hyperspectral data, due to high spectral resolution, have a significant accuracy in predicting nitrogen and carbon content, particularly in lodged wheat. Sentinel-2 data, though have less prediction accuracy, still provided useful insights. The results emphasize the importance of selecting appropriate spectral bands, vegetation indices, and validation methods for accurate crop health monitoring, highlighting hyperspectral data’s advantages over Sentinel-2 for precision agriculture.
Item Type:Essay (Master)
Faculty:ITC: Faculty of Geo-information Science and Earth Observation
Subject:38 earth sciences, 48 agricultural science
Programme:Geoinformation Science and Earth Observation MSc (75014)
Link to this item:https://purl.utwente.nl/essays/103524
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