数据说明
Special dataset for global ocean-Cp of Organic Matters at 660nm (CPOM)
上传时间：2019-05-23 00:15:56 浏览次数：作者与来源：admin
1. SeaWIFS
It is the product of the organic particle attenuation coefficient at 660nm retrieved by SeaWiFS.
Unit: m-1
Resolution: 9km
Duration: 1997-2010
Source: The original data of the monthly remote sensing reflectance retrieved by SeaWiFS were provided by NASA
Version: 2018
Dataset Name:
Processing:
Based on the spectral remote sensing reflectance, the particular backscattering coefficient and total absorption coefficients were retrieved using the semi-analytic algorithm developed by Carder et al. (1998). Then, the semi-analytic remote sensing algorithm of particle attenuation coefficient for organic matter (Cpom) developed by Bai et al. (2008) was adopted to derive the particle attenuation coefficient.
Known Issues:
Although the semi-analytic algorithm has the capacity of global applicable, some of the parameters in the algorithm should be estimated empirically which will cause uncertainty in some of regions, especially in the coastal waters.
Reference
Bai Yan, He Xianqiang, Pan Delu, Hao Zengzhou, Song Qingjun, Lei Hui. Remote sensing algorithm of particle attenuation coefficient in East China Sea. Proc. SPIE, 7105, 71050Y, DOI: 10.1117/12.800077, 2008.
Acknowledgment
Please cite the above references if this dataset are used. Moreover, the satellite ground station and the satellite data processing & sharing center of the SOED/SIO should be acknowledged.
2. MODIS/AquaIt is the product of the organic particle attenuation coefficient at 660nm retrieved by MODIS/Aqua.
Unit: m-1
Resolution: 9km
Duration: 2002-2018
Source: The original data of the monthly remote sensing reflectance retrieved by MODIS/Aqua were provided by NASA
Version: 2018
Dataset Name:
Processing:
Based on the spectral remote sensing reflectance, the particular backscattering coefficient and total absorption coefficients were retrieved using the semi-analytic algorithm developed by Carder et al. (1998). Then, the semi-analytic remote sensing algorithm of particle attenuation coefficient for organic matter (Cpom) developed by Bai et al. (2008) was adopted to derive the particle attenuation coefficient.
Known Issues:
Although the semi-analytic algorithm has the capacity of global applicable, some of the parameters in the algorithm should be estimated empirically which will cause uncertainty in some of regions, especially in the coastal waters.
Reference
Bai Yan, He Xianqiang, Pan Delu, Hao Zengzhou, Song Qingjun, Lei Hui. Remote sensing algorithm of particle attenuation coefficient in East China Sea. Proc. SPIE, 7105, 71050Y, DOI: 10.1117/12.800077, 2008.
Acknowledgment
Please cite the above references if this dataset are used. Moreover, the satellite ground station and the satellite data processing & sharing center of the SOED/SIO should be acknowledged.
3. VIIRS
It is the product of the organic particle attenuation coefficient at 660nm retrieved by VIIRS/SNPP.
Unit: m-1
Resolution: 9km
Duration: 2012-2018
Source: The original data of the monthly remote sensing reflectance retrieved by MODIS/Aqua were provided by NASA
Version: 2018
Dataset Name:
Processing:
Based on the spectral remote sensing reflectance, the particular backscattering coefficient and total absorption coefficients were retrieved using the semi-analytic algorithm developed by Carder et al. (1998). Then, the semi-analytic remote sensing algorithm of particle attenuation coefficient for organic matter (Cpom) developed by Bai et al. (2008) was adopted to derive the particle attenuation coefficient.
Known Issues:
Although the semi-analytic algorithm has the capacity of global applicable, some of the parameters in the algorithm should be estimated empirically which will cause uncertainty in some of regions, especially in the coastal waters.
Reference
Bai Yan, He Xianqiang, Pan Delu, Hao Zengzhou, Song Qingjun, Lei Hui. Remote sensing algorithm of particle attenuation coefficient in East China Sea. Proc. SPIE, 7105, 71050Y, DOI: 10.1117/12.800077, 2008.
Acknowledgment
Please cite the above references if this dataset are used. Moreover, the satellite ground station and the satellite data processing & sharing center of the SOED/SIO should be acknowledged.
It is the product of the organic particle attenuation coefficient at 660nm retrieved by SeaWiFS.
Unit: m-1
Resolution: 9km
Duration: 1997-2010
Source: The original data of the monthly remote sensing reflectance retrieved by SeaWiFS were provided by NASA
Version: 2018
Dataset Name:
Processing:
Based on the spectral remote sensing reflectance, the particular backscattering coefficient and total absorption coefficients were retrieved using the semi-analytic algorithm developed by Carder et al. (1998). Then, the semi-analytic remote sensing algorithm of particle attenuation coefficient for organic matter (Cpom) developed by Bai et al. (2008) was adopted to derive the particle attenuation coefficient.
Known Issues:
Although the semi-analytic algorithm has the capacity of global applicable, some of the parameters in the algorithm should be estimated empirically which will cause uncertainty in some of regions, especially in the coastal waters.
Reference
Bai Yan, He Xianqiang, Pan Delu, Hao Zengzhou, Song Qingjun, Lei Hui. Remote sensing algorithm of particle attenuation coefficient in East China Sea. Proc. SPIE, 7105, 71050Y, DOI: 10.1117/12.800077, 2008.
Acknowledgment
Please cite the above references if this dataset are used. Moreover, the satellite ground station and the satellite data processing & sharing center of the SOED/SIO should be acknowledged.
2. MODIS/AquaIt is the product of the organic particle attenuation coefficient at 660nm retrieved by MODIS/Aqua.
Unit: m-1
Resolution: 9km
Duration: 2002-2018
Source: The original data of the monthly remote sensing reflectance retrieved by MODIS/Aqua were provided by NASA
Version: 2018
Dataset Name:
Processing:
Based on the spectral remote sensing reflectance, the particular backscattering coefficient and total absorption coefficients were retrieved using the semi-analytic algorithm developed by Carder et al. (1998). Then, the semi-analytic remote sensing algorithm of particle attenuation coefficient for organic matter (Cpom) developed by Bai et al. (2008) was adopted to derive the particle attenuation coefficient.
Known Issues:
Although the semi-analytic algorithm has the capacity of global applicable, some of the parameters in the algorithm should be estimated empirically which will cause uncertainty in some of regions, especially in the coastal waters.
Reference
Bai Yan, He Xianqiang, Pan Delu, Hao Zengzhou, Song Qingjun, Lei Hui. Remote sensing algorithm of particle attenuation coefficient in East China Sea. Proc. SPIE, 7105, 71050Y, DOI: 10.1117/12.800077, 2008.
Acknowledgment
Please cite the above references if this dataset are used. Moreover, the satellite ground station and the satellite data processing & sharing center of the SOED/SIO should be acknowledged.
3. VIIRS
It is the product of the organic particle attenuation coefficient at 660nm retrieved by VIIRS/SNPP.
Unit: m-1
Resolution: 9km
Duration: 2012-2018
Source: The original data of the monthly remote sensing reflectance retrieved by MODIS/Aqua were provided by NASA
Version: 2018
Dataset Name:
Processing:
Based on the spectral remote sensing reflectance, the particular backscattering coefficient and total absorption coefficients were retrieved using the semi-analytic algorithm developed by Carder et al. (1998). Then, the semi-analytic remote sensing algorithm of particle attenuation coefficient for organic matter (Cpom) developed by Bai et al. (2008) was adopted to derive the particle attenuation coefficient.
Known Issues:
Although the semi-analytic algorithm has the capacity of global applicable, some of the parameters in the algorithm should be estimated empirically which will cause uncertainty in some of regions, especially in the coastal waters.
Reference
Bai Yan, He Xianqiang, Pan Delu, Hao Zengzhou, Song Qingjun, Lei Hui. Remote sensing algorithm of particle attenuation coefficient in East China Sea. Proc. SPIE, 7105, 71050Y, DOI: 10.1117/12.800077, 2008.
Acknowledgment
Please cite the above references if this dataset are used. Moreover, the satellite ground station and the satellite data processing & sharing center of the SOED/SIO should be acknowledged.
