Abstract

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/(m2·sr·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.

Highlights

  • The incorporation of Brazil into a long-term remote sensing program has begun with the establishment of the China Brazil Earth Resources Satellite (CBERS) program

  • Assuming that total optical depth remains constant over the range of air masses for which measurements are performed, a Langley plot will yield a set of data points distributed along a straight line with slope equal to the total optical depth and intercept equal the natural logarithm of the ASR calibration constant [26,27,28]

  • The data products derived from the ground measurements and geometries of the sensor/satellite and sun at the time the sensor measures the reference surface are used as input to a radiative transfer code to predict the top of atmosphere (TOA) radiance/reflectance

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Summary

Introduction

The incorporation of Brazil into a long-term remote sensing program has begun with the establishment of the China Brazil Earth Resources Satellite (CBERS) program. This work describes a complete procedure, along with the associated uncertainties, used to calculate the in-flight absolute calibration coefficients for MUX and WFI level 1 images. For this purpose two absolute radiometric calibration techniques were used: (i) reflectance-based approach and (ii) cross-calibration method. The MUX and WFI on-board CBERS-4 was cross calibrated with the newest Landsat series sensor OLI (Operational Land Imager). This calibrated was performed based on imaging of the Libya-4 Pseudo Invariant Calibration Site (PICS) [13,14,15,16].

CBERS-4
Reflectance-Based Approach
Field Campaign
Surface Reflectance
Atmospheric Characterization
Radiative Transfer Code
Image Analysis and Calibration Coefficients
Cross-Calibration
July 20157 July 2015
Spectral
Radiometric Formulation
Radiometric Coefficients Validation
Uncertainties
Results and Discussion
Table 6bands also of presents the derived from the spectral curve in
Conclusions
Full Text
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