数据说明
TSM of Zhejiang Province River(Qiantangjaing/Oujiang/Feiyunjiang/aojiang)
上传时间：2019-10-10 09:54:13 浏览次数：作者与来源：admin
Satellite/Sensor:Landsat4,5-TM(Thematic Mapper)，Landsat7-ETM (Enhanced Thematic Mapper) ，Landsat-8 OLI（Operational Land Imager）
Unit: sr-1
Resolution: 30m,16days(Scene cloud less than 10%)
Duration: 1987 - 2017
Source: SIO and U.S. Geological Survey
Dataset Name: USGS_Landsat_OLI_ZJR
Product Name: USGS_Landsat_OLI_yyyy-MM-ddTOyyyy-MM-dd_L3A_ZJR_30M_RRS_Qiantangjaing/Oujiang/Feiyunjiang/aojiang
Processing:
The data set was subjected to Radiometric Calibration and FLAASH atmospheric correction using ENVI software. First, the digital quantized value (DN) of the original image of the Landsat satellite is converted into a physical quantity such as a radiance value or a reflectance by Radiometric Calibration. Then, FLAASH atmospheric correction can estimate the properties of the atmosphere through the image header file (including sensor basic information such as wavelength and spectral bandwidth), spectral response function, and satellite image spectral information. In terms of aerosol model selection, FLAASH's alternative aerosol models include urban aerosols, rural aerosols, marine aerosols, aerosol-free and tropospheric aerosol models, which can be selected based on the specific satellite image coverage area. The data output after FLAASH atmospheric correction is the apparent reflectivity ρw, which needs further calculation to obtain the remote sensing reflectivity Rrs. The calculation formula is as follows:
Where τ0 is the diffuse transmittance of the sun, τr is the Rayleigh optical thickness, and θo is the solar zenith angle.
For detail information，Please visit ENVI Help http://enviidl.com/help/#../Subsystems/envi/Content/PreprocessImagery/QUAC_FLAASH/FLAASH.htm?Highlight=FLAASH
The unified model of TSM inversion is：
and when the model is applied to OLI data，x=(1.0072R_rs (OLI2)+0.0002)/(1.0349R_rs (OLI5)+0.0026)
References
Xuebing Wang, Difeng Wang, Fang Gong, Xianqiang He, "Remote sensing inversion of total suspended matter concentration in Oujiang River based on Landsat-8/OLI," Proc. SPIE 10850, Ocean Optics and Information Technology,108500X (12 December 2018); doi: 10.1117/12.2505668
Acknowledgment
Landsat Download link：http://earthexplorer.usgs.gov/
All the contents of this page are quoted from U.S. Geological Survey. All project
documentation and related publications can be found at the website: https://www.usgs.gov/land-resources/nli/landsat
Unit: sr-1
Resolution: 30m,16days(Scene cloud less than 10%)
Duration: 1987 - 2017
Source: SIO and U.S. Geological Survey
Dataset Name: USGS_Landsat_OLI_ZJR
Product Name: USGS_Landsat_OLI_yyyy-MM-ddTOyyyy-MM-dd_L3A_ZJR_30M_RRS_Qiantangjaing/Oujiang/Feiyunjiang/aojiang
Processing:
The data set was subjected to Radiometric Calibration and FLAASH atmospheric correction using ENVI software. First, the digital quantized value (DN) of the original image of the Landsat satellite is converted into a physical quantity such as a radiance value or a reflectance by Radiometric Calibration. Then, FLAASH atmospheric correction can estimate the properties of the atmosphere through the image header file (including sensor basic information such as wavelength and spectral bandwidth), spectral response function, and satellite image spectral information. In terms of aerosol model selection, FLAASH's alternative aerosol models include urban aerosols, rural aerosols, marine aerosols, aerosol-free and tropospheric aerosol models, which can be selected based on the specific satellite image coverage area. The data output after FLAASH atmospheric correction is the apparent reflectivity ρw, which needs further calculation to obtain the remote sensing reflectivity Rrs. The calculation formula is as follows:
For detail information，Please visit ENVI Help http://enviidl.com/help/#../Subsystems/envi/Content/PreprocessImagery/QUAC_FLAASH/FLAASH.htm?Highlight=FLAASH
The unified model of TSM inversion is：
TSM=343.83x^(−2.185)
When the model is applied to TM or ETM+ data，x=(R_rs (TM1))/(R_rs (TM4) ) OR x=R_rs (ETM+1)/R_rs (ETM+4)；and when the model is applied to OLI data，x=(1.0072R_rs (OLI2)+0.0002)/(1.0349R_rs (OLI5)+0.0026)
References
Xuebing Wang, Difeng Wang, Fang Gong, Xianqiang He, "Remote sensing inversion of total suspended matter concentration in Oujiang River based on Landsat-8/OLI," Proc. SPIE 10850, Ocean Optics and Information Technology,108500X (12 December 2018); doi: 10.1117/12.2505668
Acknowledgment
Landsat Download link：http://earthexplorer.usgs.gov/
All the contents of this page are quoted from U.S. Geological Survey. All project
documentation and related publications can be found at the website: https://www.usgs.gov/land-resources/nli/landsat
