Radiometric cross-calibration of the CBERS-02 CCD camera with the TERRA MODIS

With the requirement of quantitative application of remote sensing, it is more pressing to improve the accuracy of remote sensing. Slater proposed a calibration method using a large homogeneous surface target [1], which has been proved promising and has been applied to many sensors[2―10], such as TM, ETM+, HRVIR. However, this method re-quired so much labor and fund that it could not produce enough calibration coefficients. In addition, it could not be applied to history data. Later, many…     

Water target based cross-calibration of CBERS-02 CCD camera with MODIS data

In order to make quantitative watercolor sensing with China-Brazil Earth Resources Satellite (CBERS-02) CCD camera, the MODIS data with higher accuracy is used to cross-calibrate the CCD camera over water targets. In homogeneous clear water area, two pairs of images obtained over the same area on the same day by the two sensors are selected. The top-of-atmosphere (TOA) radiances of the multispectral bands of CCD are calculated with the water and aerosol parameters from MODIS based on a water-atmosphere radiative transfer algorithm. The stripes in CCD image that caused by unequal response of the CCD array detectors are firstly removed before making the cross-calibration. The same part of CCD detectors is selected for the calibrations in the two images to eliminate the residual error of destriping and uniformity correction for the focus plane irradiance. It is shown that the calibration results from two different images are consistent. The error of this method is about 5%.     

In flight MTF monitoring and compensation for CCD camera on CBERS-02

All image systems cause a blurring of the scene radiance field during image acquisi- tion. Accurate characterization of this blurring is referred to as the modulation transfer function (MTF)[1]. The MTF is a fundamental imaging system design specification and system quality metric often used in remote sensing. It results from the cumulative effects of the instrumental optics (diffraction, aberrations, focusing error), integration on a pho- tosensitive surface, charge diffusion along the arra…     

Cotton pixel identification with CBERS-02 CCD data based on spectral knowledge

CBERS-02 has three sensors, Charged Coupled Device (CCD), Infrared Multispectral Scanner (IRMSS) and Wide Field Imager (WFI). Similar to Landsat TM, CCD has 4 visible and near-infrared bands and one panchromatic band. The wavelength ranges are respectively 0.45-0.52 μm, 0.52-0.59 μm, 0.63-0.69 μm, 0.77-0.89 μm and 0.51 -0.73 μm. The spatial resolution is 19.5 m. CBERS-02 has three ground stations in Beijing, Guangzhou and Urumchi, which makes it cover the whole territory. …     

Radiometric cross-calibration of the CBERS-02 CCD camera with the TERRA MODIS

For the application of the CCD camera, the most important payload on CBERS-02, the key is to provide long-term stable radiometric calibration coefficients. Although the vicarious calibration had been proved successful, it had its limitations such as test site requirement and unsuitable for historical data. Cross-calibration is one of the alternative methods, but it needs synchro surface spectrum to achieve spectral band matching factors. Our effort is to probe the influences on these factors. Simulations with a lot of surface spectrum showed that the factors changed with the viewing geometry, atmospheric condition and surface targets. However, simulating with the same viewing geometry and atmospheric condition, the spectral band matching factors of the same or similar surface targets, spectrum acquired from different dates and different places would like to be consistent to each other within 1%–5%. Thus, the synchro measurement data can be substituted by the same or similar target from other source. Based on this method, using the MODIS as the reference, the cross-calibration was performed for CCD camera. The research demonstrated that the traditional method with single calibration site was inappropriate for CCD camera, since the offsets for its four spectral bands were not zeros. With four calibration sites, these offsets were obtained. And the camera was detected to degrade with dates based on four times of cross-calibrations.     

Absolute radiometric calibration of CBERS-02 IRMSS thermal band

The China-Brazil Earth Resources Satellite (CBERS) was jointly developed by China and Brazil since 1988. The first CBERS (CBRES-01) was successfully launched on Oc- tober 14, 1999 and the second one (CBERS-02) on October 21, 2003. After finishing on-orbit tests of CBERS-02 in China, it was relegated to China Center for Resources Satellite Data and Applications (CRESDA) and switched to application and routine op- eration stage since January 2004. There are three sensors on C…     

Biomass estimation and uncertainty analysis based on CBERS-02 CCD camera data and field measurement

The study on terrestrial ecosystem carbon cycle has been the focus of global change research and regional sustainable development research. It is well known that terrestrial ecosystem is the largest unknown area[1] in seeking the missing carbon sink[2]. Because it is allowed in the Kyoto Protocol that adding CO2 absorption by foresting and reforesting can offset greenhouse gases emission, the mechanism of carbon sequestration and thedistribution and mapping of carbon pool have been the focus …     

Comparison of the influence factors on NDVI for CCD camera and WFI imager on CBERS-02

China Brazil Earth Resources Satellites (CBERS) have many payloads, among them there are a high resolution Charge Coupled Device (CCD) Camera and the Wide Field Image (WFI). CCD’s spatial resolution in nadir is 19.5 meters and its swath width is 113 kilometers. It has 4 wave bands and a panchromatic wave band in visible and near infra- red spectral band. Side looking is one of the main functions of CCD and the side looking range is ±32°. WFI has one visible band and one near inf…     

The primary results of quantitative ocean color retrieval in China coastal area with CBERS CCD data

The quantitative retrieval of water constituents of coastal waters is one of the hot top- ics and a hard task in the field of ocean color sensing. As the spatial and temporal varia- tions of the water constituents in coastal or inland waters (Case-II waters) are very fast, its monitoring requires high spatial and temporal resolution sensors. So far, the require- ment has not been satisfied yet. The spatial resolution of the ocean color specific sensors is much coarser than that of the land re…