Impacts of spectral band difference effects on radiometric cross-calibration between satellite sensors in the solar-reflective spectral domain

Teillet, Philippe; Fedosejevs, G.; Thome, Kurt; Barker, J. L.

doi:10.1016/j.rse.2007.03.003

Cited by 133 publications

(77 citation statements)

References 53 publications

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“…The ETM+ sensor has also been calibrated vicariously using Earth targets such as Railroad Valley (Thorne, 2001;Thome et al, 2004) and cross-calibrated with multiple sensors (Teillet et al, 2001(Teillet et al, , 2006(Teillet et al, , 2007Thorne et al, 2003;Chander et al, 2004bChander et al, , 2007bChander et al, , 2008. The gain trends from the ETM+ sensor are regularly monitored on-orbit using the onboard calibrators and vicarious calibration.…”

Section: Etm+ Sensormentioning

confidence: 99%

Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors

Chander¹,

Markham²,

Helder³

2009

Remote Sensing of Environment

2,445

1,276

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Section: Etm+ Sensormentioning

confidence: 99%

Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors

Chander¹,

Markham²,

Helder³

2009

Remote Sensing of Environment

2,445

1,276

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show abstract

“…However, there are some factors that affect the accuracy of RCPs' information extraction within the cross-calibration method, such as geometric misregistrations, atmospheric characterization, different relative spectral responses (RSRs) the spectral signature of the ground target, BRDF, etc. [29][30][31][32][33][34].…”

Section: Rcps Information Extractionmentioning

confidence: 99%

On-Orbit Radiometric Calibration for a Space-Borne Multi-Camera Mosaic Imaging Sensor

Xie

Han

et al. 2017

Remote Sensing

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Abstract:As the core and foundational technology, on-orbit radiometric calibration of a space-borne sensor is of great importance for quantitative remote sensing applications. As for the space-borne multi-camera mosaic imaging sensor, however, the currently available on-orbit radiometric calibration method cannot carry out the integrated processing of on-orbit absolute radiometric calibration and relative radiometric correction simultaneously between cameras, influencing the accuracy of quantitative applications. Therefore, taking the GaoFen-1 (GF-1) wide-field-of-view (WFV) sensor as an example in this research, an innovative on-orbit radiometric calibration method is proposed to overcome this bottleneck. Firstly, according to the principle of the cross-calibration approach, we retrieve valid MODIS and GF-1 WFV image pairs over the Dunhuang radiometric calibration sites (DRCS) in China by using a set of criteria and extract the radiometric control points (RCPs) connecting in both images. Secondly, the DEM-aided block adjustment of the rational function model is applied to eliminate the geometrical misalignment of GF-1 WFV images at the same orbit. Then, the average digital numbers of spectral and spatial homogeneous surfaces are calculated and chosen as the radiometric tie points (RTPs) extracted from the overlapping region of the adjacent WFV cameras. Thirdly, the radiometric block adjustment (RBA) algorithm is introduced into on-orbit radiometric calibration of the space-borne multi-camera mosaic imaging sensor. Finally, the radiometric calibration coefficients are solved by the least square method. The validation results indicate that our proposed method can acquire high absolute radiometric calibration accuracy and achieve relative radiometric correction between cameras. Compared with the results using the cross-calibration method to calibrate each WFV camera independently, the advantages of RBA are presented. In addition, the uncertainties caused by RCPs' distribution are discussed, which is beneficial to further optimize the calibration program.

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“…To simulate the GF-1/WFV reflectance of the calibration site, the spectral matching factors are calculated to account for the difference induced by the spectral response function between the GF-1/WFV and the Landsat-8/OLI. The spectral matching factor is defined as [1,30,31]. 24 13 ( ) / ( )…”

Section: Spectral Matching Between Gf-1/wfv and Olimentioning

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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Impacts of spectral band difference effects on radiometric cross-calibration between satellite sensors in the solar-reflective spectral domain

Cited by 133 publications

References 53 publications

Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors

Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors

On-Orbit Radiometric Calibration for a Space-Borne Multi-Camera Mosaic Imaging Sensor

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

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