Assessment of Spectral Band Impact on Intercalibration Over Desert Sites Using Simulation Based on EO-1 Hyperion Data

Henry, Patrice; Chander, Gyanesh; Fougnie, Bertrand; Thomas, Colin; Xiong, Xiaoxiong

doi:10.1109/tgrs.2012.2228210

Cited by 28 publications

(20 citation statements)

References 28 publications

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“…Besides, as mentioned by Chander et al [21], Henry et al [61] and Teillet et al [62], TOA simulations, based on spectral libraries and in situ measurements, should be explored to evaluate improvements on the SBAF. However, despite the fact that spectral mismatches have been compensated through SBAF, this adjustment considers nominal conditions and does not account for the different sensitivities to the influence of atmospheric absorption features at specific wavelengths [17,54,61] or for any variation in the spectral performance of the sensor.…”

Section: Discussionmentioning

confidence: 99%

“…However, additional improvements in the cross-calibration method could be accomplished either by increasing the number of SNO's, when available [19,20,32], or by fitting a BRDF model to the observations of the calibration site [52,53,56]. A refinement of the SBAF retrieval scheme could also provide important advances, particularly if (1) higher spectral resolution data and TOA simulations based on in situ measurements and (2) radiative transfer modeling [21,56,61] are applied.…”

Section: Discussionmentioning

confidence: 99%

“…This point may explain the low standard deviation values, especially for SBAF Cal . The NIR band presents higher variability due to the presence of water vapor absorption features [8,21,54,61]. Nonetheless, for SBAF Cal and SBAF Eva , this variability may also reveal a temporal variation in TOA reflectance due to the differences in observation, illumination or atmospheric conditions.…”

Section: E 0 and Compensation Factorsmentioning

confidence: 99%

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Radiometric Cross-Calibration of the Chilean Satellite FASat-C Using RapidEye and EO-1 Hyperion Data and a Simultaneous Nadir Overpass Approach

et al. 2016

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Abstract:The absolute radiometric calibration of a satellite sensor is the critical factor that ensures the usefulness of the acquired data for quantitative applications on remote sensing. This work presents the results of the first cross-calibration of the sensor on board the Sistema Satelital de Observación de la Tierra (SSOT) Chilean satellite or Air Force Satellite FASat-C. RapidEye-MSI was chosen as the reference sensor, and a simultaneous Nadir Overpass Approach (SNO) was applied. The biases caused by differences in the spectral responses of both instruments were compensated through an adjustment factor derived from EO-1 Hyperion data. Through this method, the variations affecting the radiometric response of New AstroSat Optical Modular Instrument (NAOMI-1), have been corrected based on collections over the Frenchman Flat calibration site. The results of a preliminary evaluation of the pre-flight and updated coefficients have shown a significant improvement in the accuracy of at-sensor radiances and TOA reflectances: an average agreement of 2.63% (RMSE) was achieved for the multispectral bands of both instruments. This research will provide a basis for the continuity of calibration and validation tasks of future Chilean space missions.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: E 0 and Compensation Factorsmentioning

confidence: 99%

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Radiometric Cross-Calibration of the Chilean Satellite FASat-C Using RapidEye and EO-1 Hyperion Data and a Simultaneous Nadir Overpass Approach

et al. 2016

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“…It should be noted that the only purpose of the atmospheric correction for OLI images was spectrum matching, and the input of the cross calibration equation in Equation (6) is TOA reflectance. Theoretically, simultaneously measured in situ hyper-spectral data or hyperspectral images (such as Hyperion) should be used to calculate QE [24,25]. While in practice, to obtain sufficient concurrent spectral measurements for randomly selected calibration sites of a large coverage is very difficult.…”

Section: Adjustment Of the Spectral Band Differencesmentioning

confidence: 99%

Radiometric cross Calibration of Gaofen-1 WFV Cameras Using Landsat-8 OLI Images: A Simple Image-Based Method

Feng

Pang

et al. 2016

Remote Sensing

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WFV (Wide Field of View) cameras on-board Gaofen-1 satellite (gaofen means high resolution) provide unparalleled global observations with both high spatial and high temporal resolutions. However, the accuracy of the radiometric calibration remains unknown. Using an improved cross calibration method, the WFV cameras were re-calibrated with well-calibrated Landsat-8 OLI (Operational Land Imager) data as reference. An objective method was proposed to guarantee the homogeneity and sufficient dynamic coverage for calibration sites and reference sensors. The USGS spectral library was used to match the most appropriate hyperspectral data, based on which the spectral band differences between WFV and OLI were adjusted. The TOA (top-of-atmosphere) reflectance of the cross-calibrated WFV agreed very well with that of OLI, with the mean differences between the two sensors less than 5% for most of the reflectance ranges of the four spectral bands, after accounting for the spectral band difference between the two sensors. Given the calibration error of 3% for Landsat-8 OLI TOA reflectance, the uncertainty of the newly-calibrated WFV should be within 8%. The newly generated calibration coefficients established confidence when using Gaofen-1 WFV observations for their further quantitative applications, and the proposed simple cross calibration method here could be easily extended to other operational or planned satellite missions.

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“…To this end, EO-1/Hyperion images were used to understand the spectral signature of the target, derive the Spectral Band Adjustment Factor (SBAF). This SBAF was then used compensate for SRF differences between the sensors [35,36].…”

Section: Spectral Band Adjustment Factor (Sbaf)mentioning

confidence: 99%

First in-Flight Radiometric Calibration of MUX and WFI on-Board CBERS-4

et al. 2016

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Brazil and China have a long-term joint space based sensor program called China-Brazil Earth Resources Satellite (CBERS). The most recent satellite of this program (CBERS-4) was successfully launched on 7 December 2014. This work describes a complete procedure, along with the associated uncertainties, used to calculate the in-flight absolute calibration coefficients for the sensors Multispectral Camera (MUX) and Wide-Field Imager (WFI) on-board CBERS-4. Two absolute radiometric calibration techniques were applied: (i) reflectance-based approach and (ii) cross-calibration method. A specific site at Algodones Dunes region located in the southwestern portion of the United States of America was used as a reference surface. Radiometric ground and atmospheric measurements were carried out on 9 March 2015, when CBERS-4 passed over the region. In addition, a cross-calibration between both MUX and WFI on-board CBERS-4 and the Operational Land Imager (OLI) on-board Landsat-8 was performed using the Libya-4 Pseudo Invariant Calibration Site. The gain coefficients are now available: 1.68, 1.62, 1.59 and 1.42 for MUX and 0.379, 0.498, 0.360 and 0.351 for WFI spectral bands blue, green, red and NIR, respectively, in units of (W/(m 2¨s r¨µm))/DN. These coefficients were determined with uncertainties lower than 3.5%. As a validation of these radiometric coefficients, cross-calibration was also undertaken. An evaluation of radiometric consistency was performed between the two instruments (MUX and WFI) on-board CBERS-4 and with the well calibrated Landsat-7 ETM+. Results show that the reflectance values match in all the analogous spectral bands within the specified calibration uncertainties.

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Assessment of Spectral Band Impact on Intercalibration Over Desert Sites Using Simulation Based on EO-1 Hyperion Data

Cited by 28 publications

References 28 publications

Radiometric Cross-Calibration of the Chilean Satellite FASat-C Using RapidEye and EO-1 Hyperion Data and a Simultaneous Nadir Overpass Approach

Radiometric Cross-Calibration of the Chilean Satellite FASat-C Using RapidEye and EO-1 Hyperion Data and a Simultaneous Nadir Overpass Approach

Radiometric cross Calibration of Gaofen-1 WFV Cameras Using Landsat-8 OLI Images: A Simple Image-Based Method

First in-Flight Radiometric Calibration of MUX and WFI on-Board CBERS-4

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