RT info:eu-repo/semantics/article
T1 An empirical radiometric intercomparison methodology based on global simultaneous nadir overpasses applied to Landsat 8 and Sentinel-2
A1 Gil, Jorge
A1 Rodrigo Herrero, Juan Fernando
A1 Salvador González, Pablo
A1 Gómez Aragón, Diego
A1 Sanz Justo, María Julia
A1 Casanova Roque, José Luis
K1 Calibración
K1 Teledetección
K1 Satélites meteorológicos
K1 Cross-calibration
K1 Interoperability
K1 Landsat-8 OLI
K1 Calibración radiométrica
K1 Sentinel-2 MSI
K1 Simultaneous Nadir Overpasses
AB The Simultaneous Nadir Overpass (SNO) method was developed by the NOAA/NESDIS to improve the consistency and quality of climate data acquired by different meteorological satellites. Taking advantage of the reduced impact induced by the Bidirectional Reflectance Distribution Function (BRDF), atmospheric effects, illumination and viewing geometries during an SNO, we created a sensor comparison methodology for all spectral targets. The method is illustrated by applying it to the assessment of data acquired by the Landsat 8 (L8), Sentinel-2A (S2A), and Sentinel-2B (S2B) optical sensors. Multiple SNOs were identified and selected without the need for orbit propagators. Then, by locating spatially homogeneous areas, it was possible to assess, for a wide range of Top-of-Atmosphere reflectance values, the relationship between the L8 bands and the corresponding ones of S2A and S2B. The results yield high coefficients of determination for S2 A/B with respect to L8. All are higher than 0.980 for S2A and 0.984 for S2B. If the S2 band 8 (wide near-infrared, NIR) is excluded then the lowest coefficients of determination become 0.997 and 0.999 from S2A and S2B, respectively. This methodology can be complementary to those based on Pseudo-Invariant Calibration Sites (PICS) due to its simplicity, highly correlated results and the wide range of compared reflectances and spectral targets.
PB MDPI
SN 2072-4292
YR 2020
FD 2020
LK https://uvadoc.uva.es/handle/10324/58976
UL https://uvadoc.uva.es/handle/10324/58976
LA eng
NO Remote Sens, 2020, Vol. 12, Nº. 17, 2736
NO Producción Científica
DS UVaDOC
RD 22-nov-2024