2014
DOI: 10.3390/rs61010232
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The Spectral Response of the Landsat-8 Operational Land Imager

Abstract: This paper discusses the pre-launch spectral characterization of the Operational Land Imager (OLI) at the component, assembly and instrument levels and relates results of those measurements to artifacts observed in the on-orbit imagery. It concludes that the types of artifacts observed and their magnitudes are consistent with the results of the pre-launch characterizations. The OLI in-band response was characterized both at the integrated instrument level for a sampling of detectors and by an analytical stack-… Show more

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Cited by 312 publications
(183 citation statements)
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“…Bands of those sensors were simulated from in situ data and used to calibrate and validate models for Chl-a estimation. The simulation of bands was carried out from in situ R rs measurements and the spectral response function of each sensor (Barsi et al 2014, ESA 2015, using Equation 2 (Van der Meer 1999).…”
Section: Calibration Of Empirical Modelsmentioning
confidence: 99%
“…Bands of those sensors were simulated from in situ data and used to calibrate and validate models for Chl-a estimation. The simulation of bands was carried out from in situ R rs measurements and the spectral response function of each sensor (Barsi et al 2014, ESA 2015, using Equation 2 (Van der Meer 1999).…”
Section: Calibration Of Empirical Modelsmentioning
confidence: 99%
“…Landsat 8 OLI data [63] were converted to surface reflectance through atmospheric correction, performed with Atmospheric/Topographic CORrection for Satellite Imagery (ATCOR) [64]. Multitemporal SIs have already demonstrated their efficacy in capturing cropland characteristics [54,65].…”
Section: Satellite Data Pre-processingmentioning
confidence: 99%
“…Though the instruments are different, Landsat-8 maintains the swath width, scene framing, radiometric and geometric accuracy and precision and general spectral bandwidths of prior Landsat missions. Details of the OLI are covered in other papers [1][2][3]; this paper will focus only on TIRS and the vicarious calibration of the sensor.…”
Section: Introductionmentioning
confidence: 99%