TY - JOUR
T1 - Atmospheric Correction and Cross-Calibration of Landsat-7/Etm+ Imagery Over Aquatic Environments: a Multiplatform Approach Using Seawifs/Modis
AU - Hu, C.
AU - Muller-Karger, Frank E
AU - Andrefouet, S.
AU - Carder, Kendall L
PY - 2001/1/1
Y1 - 2001/1/1
N2 - Atmospheric correction of Landsat/TM and Landsat-7/Enhanced Thematic Mapper (ETM+) over aquatic environments is generally more demanding than over land because the signal from the water column is small. Because the Sea-viewing Wide Field-of-view Sensor (SeaWiFS; Orbview-II satellite) and the Moderate Resolution Imaging Spectroradiometer (MODIS; Terra satellite) provide highly improved radiometric calibration, sensitivity, and spectral bands specifically designed for estimating aerosol radiance and its spectral quality, we attempted a multiplatform assessment of the path radiance and diffuse transmittance. Using SeaWiFS and ancillary data, we estimated the ETM+ path radiance and found that for a typically clear atmosphere, without knowledge of aerosol type (difficult to estimate with ETM+ data alone), the errors in the estimated aerosol radiance in Bands 1 and 2 can be a few counts (1 count corresponds to 0.0786 and 0.0817 mW cm-2 μm-1 sr-1 for Bands 1 and 2, respectively), comparable to errors in the estimated Rayleigh radiance by ignoring polarization correction. The same method can also be used to cross-calibrate the ETM+ over clear water where the target radiance (water-leaving radiance) is known. For a windless day (28 July 1999, wind <2 m s-1), ETM+ Bands 2 and 3 agreed with the SeaWiFS-predicted values to within 0.5 count (∼ 1.5-3.3% of the total signal), while Band 1 was a few counts higher (∼ 5%) than predictions, possibly due to polarization or calibration effects. For a high-wind day (5 February 2000, wind speed ∼ 10 m s-1), the agreement is less satisfactory due to uncertainties in estimating the whitecap contribution. However, the overall trend for all the bands remains the same over the period: the difference for Band 1 is consistently larger than for Bands 2 and 3. Based on these results, we propose to use Rayleigh and aerosol data estimated with SeaWiFS and/or MODIS for atmospheric correction of ETM+ over aquatic environments. We also propose to use SeaWiFS/MODIS for monitoring the long-term stability of the Landsat-7/ETM+ calibration as the mission progresses.
AB - Atmospheric correction of Landsat/TM and Landsat-7/Enhanced Thematic Mapper (ETM+) over aquatic environments is generally more demanding than over land because the signal from the water column is small. Because the Sea-viewing Wide Field-of-view Sensor (SeaWiFS; Orbview-II satellite) and the Moderate Resolution Imaging Spectroradiometer (MODIS; Terra satellite) provide highly improved radiometric calibration, sensitivity, and spectral bands specifically designed for estimating aerosol radiance and its spectral quality, we attempted a multiplatform assessment of the path radiance and diffuse transmittance. Using SeaWiFS and ancillary data, we estimated the ETM+ path radiance and found that for a typically clear atmosphere, without knowledge of aerosol type (difficult to estimate with ETM+ data alone), the errors in the estimated aerosol radiance in Bands 1 and 2 can be a few counts (1 count corresponds to 0.0786 and 0.0817 mW cm-2 μm-1 sr-1 for Bands 1 and 2, respectively), comparable to errors in the estimated Rayleigh radiance by ignoring polarization correction. The same method can also be used to cross-calibrate the ETM+ over clear water where the target radiance (water-leaving radiance) is known. For a windless day (28 July 1999, wind <2 m s-1), ETM+ Bands 2 and 3 agreed with the SeaWiFS-predicted values to within 0.5 count (∼ 1.5-3.3% of the total signal), while Band 1 was a few counts higher (∼ 5%) than predictions, possibly due to polarization or calibration effects. For a high-wind day (5 February 2000, wind speed ∼ 10 m s-1), the agreement is less satisfactory due to uncertainties in estimating the whitecap contribution. However, the overall trend for all the bands remains the same over the period: the difference for Band 1 is consistently larger than for Bands 2 and 3. Based on these results, we propose to use Rayleigh and aerosol data estimated with SeaWiFS and/or MODIS for atmospheric correction of ETM+ over aquatic environments. We also propose to use SeaWiFS/MODIS for monitoring the long-term stability of the Landsat-7/ETM+ calibration as the mission progresses.
KW - Atmospheric correction
KW - Calibration
KW - Landsat
KW - MODIS
KW - SeaWiFS
UR - https://digitalcommons.usf.edu/msc_facpub/1157
UR - http://10.1016/S0034-4257(01)00252-8
U2 - 10.1016/S0034-4257(01)00252-8
DO - 10.1016/S0034-4257(01)00252-8
M3 - Article
VL - 78
JO - Remote Sensing of Environment
JF - Remote Sensing of Environment
ER -