Rosa Maria Martinez-Meroño

Mrs. Rosa Maria Martinez-Meroño


Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 December 2025 in Sensors
Verified
Journal Article
Open access
PDF file
RMRosa Maria Martinez-Meroño
Rosa Maria Martinez-Meroño
Pedro Freire-GarcíaPedro Freire-García
Pedro Freire-García
nicola furnittonicola furnitto
nicola furnitto
Sebastian LupicaSebastian Lupica
Sebastian Lupica
Salvatore PriviteraSalvatore Privitera
Salvatore Privitera
Juan Ramírez-CuestaJuan Ramírez-Cuesta
Juan Ramírez-Cuesta
Radiometric calibration of multispectral imagery plays a critical role in the determination of vegetation-related features. This radiometric calibration strongly depends on a proper sensor configuration when acquiring images, the shutter speed being a critical parameter. The objective of the present study was to appraise the influence of shutter speed on the reflectance in the visible and near-infrared (NIR) spectral regions registered by a low-cost multispectral sensor (MAPIR Survey3) on a homogeneous field of turfgrass (Cynodon dactylon L.—Poaceae) and on the vegetation index (VI) values calculated from them, under different solar radiation conditions. For this purpose, 10 shutter speed configurations were tested in field campaigns with variable solar radiation values. The main results demonstrated that the reflectance in the green spectral region was more sensitive to shutter speed than that of the red and NIR spectral regions, particularly under high solar radiation conditions. Moreover, VIs calculated using the green band were more sensitive to slow shutter speeds, thus presenting a higher probability of providing meaningless artifact values. In conclusion, this study provides shutter speed recommendations under different illumination conditions to optimize the reflectance and the VI sensitivity within the image, which can be applied as a simple method to optimize image acquisition from unmanned aerial vehicles under varying solar radiation conditions.