数据说明
EIO-WPO-SCS Chlorophyll a (chlor_a)
上传时间：2019-05-22 13:59:57 浏览次数：作者与来源：admin
East India Ocean Chlorophyll a (chlor_a)
Combining China's HY-1B and EOS/MODIS data to achieve daily average, ten-day average and monthly average products, total suspended matter, chlorophyll a concentration and secchi disk depth were produced. The duration of data is from May 30, 2010 to May 30, 2015, with the period of daily, 10-day and monthly. The scopes of the data include East India Ocean, West Pacific and South China Sea.
For East India Ocean, the regional scope is 80ºE ~118ºE、10ºS~21ºN.
It is the fusion product of the chlor_a retrieved by HY-1B and EOS/MODIS.
Unit: µg/l
Resolution: 1.8km
Duration: May 30, 2010 - May 30, 2015
Source: HY-1B L1 data are from the satellite ground station and the satellite data processing & sharing center of SOED/SIO. EOS/MODIS L2 data are from the NASA’s Ocean Biology Processing Group (OBPG) via site https://oceancolor.gsfc.nasa.gov/.
Version: 2018
Dataset Name: SIO_SAT_SENSOR_EIO
Product Name: SIO_SAT_SENSOR_yyyy-MM-ddTOyyyy-MM-dd_L3B_EIO_1KM_CHL_HE2016
Processing:
Based on the retrieved normalized water-leaving radiance (or remote sensing reflectance, Rrs), the Chl was estimated using the empirical model as Chl=100.4006-3.1247*R+3.1041*R^2-1.4179*R^3-0.3654*R^4, when R=log10[max(Rrs(443nm),Rrs(490nm), Rrs(520nm))/Rrs(565nm)].
Known Issues:
Due to no orbit calibration instrument onboard the HY-1B satellite, there may have calibration issue on the HY-1B/COTS L1B data, which will propagate to the derived Chl product. Moreover, the empirical algorithm based on the blue-green band ratio may overestimate the Chl in the turbid waters.
Reference
Xianqiang He, Yan Bai, Delu Pan, Qiankun Zhu. The atmospheric correction HY-1B/COCTS, Proc. SPIE, 2008,7147:714717. DOI: 10.1117/12.813244.
Yan Bai, Lianghong Jiang, Xianqiang He, Vittorio Barale. An introduction to optical remote sensing of the Asian Seas: Chinese dedicated satellite s and data processing techniques. Remote Sensing of the Asian Seas, Edited by V. Barale and M. Gade, Springer, 2019,61-79. DOI:10.1007/978-3-319-94067-0_3
Acknowledgment
Please cite the above two reference if this dataset is used. Moreover, the satellite ground station and the satellite data processing & sharing center of the SOED/SIO should be acknowledged.
West Pacific Chlorophyll a (chlor_a)
Combining China's HY-1B and EOS/MODIS data to achieve daily average, ten-day average and monthly average products, total suspended matter, chlorophyll a concentration and secchi disk depth were produced. The duration of data is from May 30, 2010 to May 30, 2015, with the period of daily, 10-day and monthly. The scopes of the data include East India Ocean, West Pacific and South China Sea.
For West Pacific, the regional scope is 121ºE~160ºE, 2ºS~46ºN.
It is the fusion product of the chlor_a retrieved by HY-1B and EOS/MODIS.
Unit: µg/l
Resolution: 1.8km
Duration: May 30, 2010 - May 30, 2015
Source: HY-1B L1 data are from the satellite ground station and the satellite data processing & sharing center of SOED/SIO. EOS/MODIS L2 data are from the NASA’s Ocean Biology Processing Group (OBPG) via site https://oceancolor.gsfc.nasa.gov/.
Version: 2018
Dataset Name: SIO_SAT_SENSOR_WPO
Product Name: SIO_SAT_SENSOR_yyyy-MM-ddTOyyyy-MM-dd_L3B_WPO_1KM_CHL_HE2016
Processing:
Based on the retrieved normalized water-leaving radiance (or remote sensing reflectance, Rrs), the Chl was estimated using the empirical model as Chl=100.4006-3.1247*R+3.1041*R^2-1.4179*R^3-0.3654*R^4, when R=log10[max(Rrs(443nm),Rrs(490nm), Rrs(520nm))/Rrs(565nm)].
Known Issues:
Due to no orbit calibration instrument onboard the HY-1B satellite, there may have calibration issue on the HY-1B/COTS L1B data, which will propagate to the derived Chl product. Moreover, the empirical algorithm based on the blue-green band ratio may overestimate the Chl in the turbid waters.
Reference
Xianqiang He, Yan Bai, Delu Pan, Qiankun Zhu. The atmospheric correction HY-1B/COCTS, Proc. SPIE, 2008,7147:714717. DOI: 10.1117/12.813244.
Yan Bai, Lianghong Jiang, Xianqiang He, Vittorio Barale. An introduction to optical remote sensing of the Asian Seas: Chinese dedicated satellite s and data processing techniques. Remote Sensing of the Asian Seas, Edited by V. Barale and M. Gade, Springer, 2019,61-79. DOI:10.1007/978-3-319-94067-0_3
Acknowledgment
Please cite the above two reference if this dataset is used. Moreover, the satellite ground station and the satellite data processing & sharing center of the SOED/SIO should be acknowledged.
South China Sea Chlorophyll a (chlor_a)
Combining China's HY-1B and EOS/MODIS data to achieve daily average, ten-day average and monthly average products, total suspended matter, chlorophyll a concentration and secchi disk depth were produced. The duration of data is from May 30, 2010 to May 30, 2015, with the period of daily, 10-day and monthly. The scopes of the data include East India Ocean, West Pacific and South China Sea.
For South China Sea, the regional scope is 98ºE~127ºE, 0~25ºN.
It is the fusion product of the chlor_a retrieved by HY-1B and EOS/MODIS.
Unit: µg/l
Resolution: 1.8km
Duration: May 30, 2010 - May 30, 2015
Source: HY-1B L1 data are from the satellite ground station and the satellite data processing & sharing center of SOED/SIO. EOS/MODIS L2 data are from the NASA’s Ocean Biology Processing Group (OBPG) via site https://oceancolor.gsfc.nasa.gov/.
Version: 2018
Dataset Name: SIO_SAT_SENSOR_SCS
Product Name: SIO_SAT_SENSOR_yyyy-MM-ddTOyyyy-MM-dd_L3B_SCS_1KM_CHL_HE2016
Processing:
Based on the retrieved normalized water-leaving radiance (or remote sensing reflectance, Rrs), the Chl was estimated using the empirical model as Chl=100.4006-3.1247*R+3.1041*R^2-1.4179*R^3-0.3654*R^4, when R=log10[max(Rrs(443nm),Rrs(490nm), Rrs(520nm))/Rrs(565nm)].
Known Issues:
Due to no orbit calibration instrument onboard the HY-1B satellite, there may have calibration issue on the HY-1B/COTS L1B data, which will propagate to the derived Chl product. Moreover, the empirical algorithm based on the blue-green band ratio may overestimate the Chl in the turbid waters.
Reference
Xianqiang He, Yan Bai, Delu Pan, Qiankun Zhu. The atmospheric correction HY-1B/COCTS, Proc. SPIE, 2008,7147:714717. DOI: 10.1117/12.813244.
Yan Bai, Lianghong Jiang, Xianqiang He, Vittorio Barale. An introduction to optical remote sensing of the Asian Seas: Chinese dedicated satellite s and data processing techniques. Remote Sensing of the Asian Seas, Edited by V. Barale and M. Gade, Springer, 2019,61-79. DOI:10.1007/978-3-319-94067-0_3
Acknowledgment
Please cite the above two reference if this dataset is used. Moreover, the satellite ground station and the satellite data processing & sharing center of the SOED/SIO should be acknowledged.
Combining China's HY-1B and EOS/MODIS data to achieve daily average, ten-day average and monthly average products, total suspended matter, chlorophyll a concentration and secchi disk depth were produced. The duration of data is from May 30, 2010 to May 30, 2015, with the period of daily, 10-day and monthly. The scopes of the data include East India Ocean, West Pacific and South China Sea.
For East India Ocean, the regional scope is 80ºE ~118ºE、10ºS~21ºN.
It is the fusion product of the chlor_a retrieved by HY-1B and EOS/MODIS.
Unit: µg/l
Resolution: 1.8km
Duration: May 30, 2010 - May 30, 2015
Source: HY-1B L1 data are from the satellite ground station and the satellite data processing & sharing center of SOED/SIO. EOS/MODIS L2 data are from the NASA’s Ocean Biology Processing Group (OBPG) via site https://oceancolor.gsfc.nasa.gov/.
Version: 2018
Dataset Name: SIO_SAT_SENSOR_EIO
Product Name: SIO_SAT_SENSOR_yyyy-MM-ddTOyyyy-MM-dd_L3B_EIO_1KM_CHL_HE2016
Processing:
Based on the retrieved normalized water-leaving radiance (or remote sensing reflectance, Rrs), the Chl was estimated using the empirical model as Chl=100.4006-3.1247*R+3.1041*R^2-1.4179*R^3-0.3654*R^4, when R=log10[max(Rrs(443nm),Rrs(490nm), Rrs(520nm))/Rrs(565nm)].
Known Issues:
Due to no orbit calibration instrument onboard the HY-1B satellite, there may have calibration issue on the HY-1B/COTS L1B data, which will propagate to the derived Chl product. Moreover, the empirical algorithm based on the blue-green band ratio may overestimate the Chl in the turbid waters.
Reference
Xianqiang He, Yan Bai, Delu Pan, Qiankun Zhu. The atmospheric correction HY-1B/COCTS, Proc. SPIE, 2008,7147:714717. DOI: 10.1117/12.813244.
Yan Bai, Lianghong Jiang, Xianqiang He, Vittorio Barale. An introduction to optical remote sensing of the Asian Seas: Chinese dedicated satellite s and data processing techniques. Remote Sensing of the Asian Seas, Edited by V. Barale and M. Gade, Springer, 2019,61-79. DOI:10.1007/978-3-319-94067-0_3
Acknowledgment
Please cite the above two reference if this dataset is used. Moreover, the satellite ground station and the satellite data processing & sharing center of the SOED/SIO should be acknowledged.
West Pacific Chlorophyll a (chlor_a)
Combining China's HY-1B and EOS/MODIS data to achieve daily average, ten-day average and monthly average products, total suspended matter, chlorophyll a concentration and secchi disk depth were produced. The duration of data is from May 30, 2010 to May 30, 2015, with the period of daily, 10-day and monthly. The scopes of the data include East India Ocean, West Pacific and South China Sea.
For West Pacific, the regional scope is 121ºE~160ºE, 2ºS~46ºN.
It is the fusion product of the chlor_a retrieved by HY-1B and EOS/MODIS.
Unit: µg/l
Resolution: 1.8km
Duration: May 30, 2010 - May 30, 2015
Source: HY-1B L1 data are from the satellite ground station and the satellite data processing & sharing center of SOED/SIO. EOS/MODIS L2 data are from the NASA’s Ocean Biology Processing Group (OBPG) via site https://oceancolor.gsfc.nasa.gov/.
Version: 2018
Dataset Name: SIO_SAT_SENSOR_WPO
Product Name: SIO_SAT_SENSOR_yyyy-MM-ddTOyyyy-MM-dd_L3B_WPO_1KM_CHL_HE2016
Processing:
Based on the retrieved normalized water-leaving radiance (or remote sensing reflectance, Rrs), the Chl was estimated using the empirical model as Chl=100.4006-3.1247*R+3.1041*R^2-1.4179*R^3-0.3654*R^4, when R=log10[max(Rrs(443nm),Rrs(490nm), Rrs(520nm))/Rrs(565nm)].
Known Issues:
Due to no orbit calibration instrument onboard the HY-1B satellite, there may have calibration issue on the HY-1B/COTS L1B data, which will propagate to the derived Chl product. Moreover, the empirical algorithm based on the blue-green band ratio may overestimate the Chl in the turbid waters.
Reference
Xianqiang He, Yan Bai, Delu Pan, Qiankun Zhu. The atmospheric correction HY-1B/COCTS, Proc. SPIE, 2008,7147:714717. DOI: 10.1117/12.813244.
Yan Bai, Lianghong Jiang, Xianqiang He, Vittorio Barale. An introduction to optical remote sensing of the Asian Seas: Chinese dedicated satellite s and data processing techniques. Remote Sensing of the Asian Seas, Edited by V. Barale and M. Gade, Springer, 2019,61-79. DOI:10.1007/978-3-319-94067-0_3
Acknowledgment
Please cite the above two reference if this dataset is used. Moreover, the satellite ground station and the satellite data processing & sharing center of the SOED/SIO should be acknowledged.
South China Sea Chlorophyll a (chlor_a)
Combining China's HY-1B and EOS/MODIS data to achieve daily average, ten-day average and monthly average products, total suspended matter, chlorophyll a concentration and secchi disk depth were produced. The duration of data is from May 30, 2010 to May 30, 2015, with the period of daily, 10-day and monthly. The scopes of the data include East India Ocean, West Pacific and South China Sea.
For South China Sea, the regional scope is 98ºE~127ºE, 0~25ºN.
It is the fusion product of the chlor_a retrieved by HY-1B and EOS/MODIS.
Unit: µg/l
Resolution: 1.8km
Duration: May 30, 2010 - May 30, 2015
Source: HY-1B L1 data are from the satellite ground station and the satellite data processing & sharing center of SOED/SIO. EOS/MODIS L2 data are from the NASA’s Ocean Biology Processing Group (OBPG) via site https://oceancolor.gsfc.nasa.gov/.
Version: 2018
Dataset Name: SIO_SAT_SENSOR_SCS
Product Name: SIO_SAT_SENSOR_yyyy-MM-ddTOyyyy-MM-dd_L3B_SCS_1KM_CHL_HE2016
Processing:
Based on the retrieved normalized water-leaving radiance (or remote sensing reflectance, Rrs), the Chl was estimated using the empirical model as Chl=100.4006-3.1247*R+3.1041*R^2-1.4179*R^3-0.3654*R^4, when R=log10[max(Rrs(443nm),Rrs(490nm), Rrs(520nm))/Rrs(565nm)].
Known Issues:
Due to no orbit calibration instrument onboard the HY-1B satellite, there may have calibration issue on the HY-1B/COTS L1B data, which will propagate to the derived Chl product. Moreover, the empirical algorithm based on the blue-green band ratio may overestimate the Chl in the turbid waters.
Reference
Xianqiang He, Yan Bai, Delu Pan, Qiankun Zhu. The atmospheric correction HY-1B/COCTS, Proc. SPIE, 2008,7147:714717. DOI: 10.1117/12.813244.
Yan Bai, Lianghong Jiang, Xianqiang He, Vittorio Barale. An introduction to optical remote sensing of the Asian Seas: Chinese dedicated satellite s and data processing techniques. Remote Sensing of the Asian Seas, Edited by V. Barale and M. Gade, Springer, 2019,61-79. DOI:10.1007/978-3-319-94067-0_3
Acknowledgment
Please cite the above two reference if this dataset is used. Moreover, the satellite ground station and the satellite data processing & sharing center of the SOED/SIO should be acknowledged.
