Atmospheric correction and cross-calibration of LANDSAT-7/ETM+ imagery over aquatic environments: A multiplatform approach using SeaWiFS/MODIS

Citation
Cm. Hu et al., Atmospheric correction and cross-calibration of LANDSAT-7/ETM+ imagery over aquatic environments: A multiplatform approach using SeaWiFS/MODIS, REMOT SEN E, 78(1-2), 2001, pp. 99-107
Citations number
30
Categorie Soggetti
Earth Sciences
Journal title
REMOTE SENSING OF ENVIRONMENT
ISSN journal
00344257 → ACNP
Volume
78
Issue
1-2
Year of publication
2001
Pages
99 - 107
Database
ISI
SICI code
0034-4257(200110)78:1-2<99:ACACOL>2.0.ZU;2-9
Abstract
Atmospheric correction of Landsat/TM and Landsat-7/Enhanced Thematic Mapper (ETM+) over aquatic environments is generally more demanding than over lan d because the signal from the water column is small. Because the Sea-viewin g Wide Field-of-view Sensor (SeaWiFS; Orbview-II satellite) and the Moderat e Resolution Imaging Spectroradiometer (MODIS; Terra satellite) provide hig hly improved radiometric calibration, sensitivity, and spectral bands speci fically designed for estimating aerosol radiance and its spectral quality, we attempted a multiplatform assessment of the path radiance and diffuse tr ansmittance. Using SeaWiFS and ancillary data, we estimated the ETM+ path r adiance 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 cou nt corresponds to 0.0786 and 0.0817 mW cm(-2) mum(-1) sr(-1) for Bands 1 an d 2, respectively), comparable to errors in the estimated Rayleigh radiance by ignoring polarization correction. The same method can also be used to c ross-calibrate the ETM+ over clear water where the target radiance (water-l eaving radiance) is known. For a windless day (28 July 1999, wind < 2 in s( -1)), ETM+ Bands 2 and 3 agreed with the SeaWiFS-predicted values to within 0.5 count (similar to 1.5-3.3% of the total signal), while Band 1 was a fe w counts higher (similar to 5%) than predictions, possibly due to polarizat ion or calibration effects. For a high-wind day (5 February 2000, wind spee d similar to 10 in s(-1)), the agreement is less satisfactory due to uncert ainties in estimating the whitecap contribution. However, the overall trend for all the bands remains the same over the period: the difference for Ban d 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 M ODIS 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. (C) 2001 Elsevier Sci ence Inc. All rights reserved.