The landsat data continuity mission operational land imager (OLI) radiometric calibration

Markham, Brian L.; Dabney, Philip W.; Murphy-Morris, Jeanine E.; Pedelty, J. A.; Knight, Edward J.; Kvaran, Geir; Barsi, Julia A.

doi:10.1109/igarss.2010.5652789

Cited by 14 publications

(13 citation statements)

References 4 publications

(2 reference statements)

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“…The calibration accuracy and continuity of the Landsat-8/OLI are performed through pre-launch, on-board, and vicarious calibration techniques [11,12]. Prior to launch, radiance calibration is primarily used in an integration sphere, with the assistance of noise characterization, linearity, stray light, bright target recovery, and ghosting [13,14]. The OLI includes an on-board radiometric calibration system to monitor changes in performance throughout the mission time, and techniques such as lunar views and side slither manoeuvers are also used to monitor the calibration system of the OLI [12].…”

Section: Datamentioning

confidence: 99%

Radiometric Cross-Calibration of GF-4 in Multispectral Bands

Yang

Zhong

et al. 2017

Remote Sensing

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Abstract:The GaoFen-4 (GF-4), launched at the end of December 2015, is China's first high-resolution geostationary optical satellite. A panchromatic and multispectral sensor (PMS) is onboard the GF-4 satellite. Unfortunately, the GF-4 has no onboard calibration assembly, so on-orbit radiometric calibration is required. Like the charge-coupled device (CCD) onboard HuanJing-1 (HJ) or the wide field of view sensor (WFV) onboard GaoFen-1 (GF-1), GF-4 also has a wide field of view, which provides challenges for cross-calibration with narrow field of view sensors, like the Landsat series. A new technique has been developed and used to calibrate HJ-1/CCD and GF-1/WFV, which is verified viable. The technique has three key steps: (1) calculate the surface using the bi-directional reflectance distribution function (BRDF) characterization of a site, taking advantage of its uniform surface material and natural topographic variation using Landsat Enhanced Thematic Mapper Plus (ETM+)/Operational Land Imager (OLI) imagery and digital elevation model (DEM) products; (2) calculate the radiance at the top-of-the atmosphere (TOA) with the simulated surface reflectance using the atmosphere radiant transfer model; and (3) fit the calibration coefficients with the TOA radiance and corresponding Digital Number (DN) values of the image. This study attempts to demonstrate the technique is also feasible to calibrate GF-4 multispectral bands. After fitting the calibration coefficients using the technique, extensive validation is conducted by cross-validation using the image pairs of GF-4/PMS and Landsat-8/OLI with similar transit times and close view zenith. The validation result indicates a higher accuracy and frequency than that given by the China Centre for Resources Satellite Data and Application (CRESDA) using vicarious calibration. The study shows that the new technique is also quite feasible for GF-4 multispectral bands as a routine long-term procedure.

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Section: Datamentioning

confidence: 99%

Radiometric Cross-Calibration of GF-4 in Multispectral Bands

Yang

Zhong

et al. 2017

Remote Sensing

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“…The calibration accuracy and continuity of the Landsat-8/OLI are performed through pre-launch, on-board and vicarious calibration techniques [13,14]. Prior to launch, radiance calibration is primarily used in an integration sphere, with the assistance of noise characterization, linearity, stray light, bright target recovery and ghosting [19,20]. OLI includes an on-board radiometric calibration system to monitor changes in performance throughout the mission time, and techniques such as lunar views and side slither manoeuvers are also used to monitor the calibration system of OLI [14].…”

Section: Oli Imagerymentioning

confidence: 99%

Cross-Calibration of GF-1/WFV over a Desert Site Using Landsat-8/OLI Imagery and ZY-3/TLC Data

Yang

Zhong

Lv³

et al. 2015

Remote Sensing

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Abstract:The wide field of view (WFV) is an optical imaging sensor on-board the Gao Fen 1 (GF-1). The WFV lacks an on-board calibrator, so on-orbit radiometric calibration is required. Zhong et al. proposed a method for cross-calibrating the charge-coupled device on-board the Chinese Huan Jing 1 (HJ-1/CCD) that can be applied to the GF-1/WFV. However, the accuracy is limited because of the wider radiometric dynamic range and the higher spatial resolution of the GF-1/WFV. Therefore, Landsat-8 Operational Land Imager (OLI) imagery with a radiometric resolution similar to that of the GF-1/WFV and DEM extracted from ZY-3 three-line array panchromatic camera (TLC) with a higher spatial resolution were used. A calibration site with uniform surface material and a natural topographic variation was selected, and a model of this site's bidirectional reflectance distribution function (BRDF) was developed. The model has excellent agreement with the real situation, as shown by the comparison of the simulations to the actual OLI surface reflectance. Then, the model was used to calibrate the WFV. Compared with the TOA reflectance from synchronized Landsat-8/OLI images, all errors calculated with the calibration coefficients retrieved in this paper are less than 5%, much less than the errors

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“…Landsat-8 Operational Land Imager; OLI due to better technical design is more appropriate for mapping application as compared to previous Landsat series (Irons J. R., Dwyer J. L. Barsi, J. A., 2012;Markham, B. L. et al, 2010;Pehlevan, N., Schott, J. R., 2011;U.S Geological Survey, 2012). Landsat-8 OLI provides efficient mapping application than Landsat-7 and earlier series (Czapla-Myers, et al, 2015;Flood, N., 2014;Jiag, P., Li, Feng, Z., 2014;Knight, E., Kvaran, G., 2014;Ke, Y., et al, 2015;Pervez, W., 2016;Morfitt., R., 2015;Markham, B., 2014;Roy D., et al, 2014.…”

Section: Introductionmentioning

confidence: 99%