Using the techniques of quantitative ocean color sensing,the in-water ocean color algorithms for sediment and chlorophyll-a retrieval are established for CBERS-02 CCD broad spectral bands based on in situ data.The rem...Using the techniques of quantitative ocean color sensing,the in-water ocean color algorithms for sediment and chlorophyll-a retrieval are established for CBERS-02 CCD broad spectral bands based on in situ data.The remote sensing reflectance of water is derived from CCD radiance data by a clear water atmospheric correction algorithm.Then,the sediment and chlorophyll-a concentrations are retrieved from CCD image.The sediment retrieval is quite satisfactory,but the chlorophyll-a retrieval is not so good because of the broadband width and low signal-to-noise ratio of the CCD camera.展开更多
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 homo...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%.展开更多
基金supported by the National Hi-Tech“863”Projects(Grant Nos.2001AA636010,2002AA639160,2001AA637010/7030)the State Key Laboratory of Remote Sensing Science,the Demonstration Center of National SpaceAdministration.
文摘Using the techniques of quantitative ocean color sensing,the in-water ocean color algorithms for sediment and chlorophyll-a retrieval are established for CBERS-02 CCD broad spectral bands based on in situ data.The remote sensing reflectance of water is derived from CCD radiance data by a clear water atmospheric correction algorithm.Then,the sediment and chlorophyll-a concentrations are retrieved from CCD image.The sediment retrieval is quite satisfactory,but the chlorophyll-a retrieval is not so good because of the broadband width and low signal-to-noise ratio of the CCD camera.
基金supported by the HY-1Ground Application System,the National Hi-Tech Program(Grant Nos.2001AA636010/7010/7030,2002AA639160)and National Administration of Space Technology Project“HY-1 Calibration and Navigation Algorithm”+2 种基金The hundred talents program of CAS(KZCX0415)the Scientific Research Foundation for the Returned Overseas Chinese Scholars,State Education Ministry(HX040013)the fund from Commission of Science Technology and Industry for National Defense(KJSX0401).
文摘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%.
