Assessment of Landsat atmospheric correction methods for water color applications using global AERONET-OC data

Xu, Yang1,2; Feng, Lian1,3; Zhao, Dan1,3; Lu, Jianzhong2

2020-12

10.1016/j.jag.2020.102192

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION   影响因子和分区

1569-8432

1872-826X

With the longest archive of satellite remote sensing images, the Landsat series of satellites have demonstrated their great potential in aquatic environmental studies. However, although various atmospheric correction (AC) methods have been developed for Landsat observations in water color applications, a comprehensive assessment of their accuracies across different AC methods and instruments has yet to be performed. Using in situ spectral data collected by Aerosol Robotic Network-Ocean Color (AERONET-OC) sites, the performances of five types of AC methods over three different Landsat missions (i.e., Landsat 5/7/8) were evaluated. The Landsat 8 Operational Land Imager (OLI) showed more accurate AC retrievals than the other two instruments, and the results for its green and red bands appeared more reliable than those for the other wavelengths (uncertainty levels of similar to 30 %). The iterative NIR algorithm with 2-bands (NIR-SWIR2) model selection embedded in SeaDAS showed the best performances for OLI in two blue bands. Moreover, larger residual errors were found for most Landsat 5/7 bands regardless of the AC methods and spectral bands employed with an uncertainty of > 50 %. Interestingly, a simple aerosol subtraction method over the Rayleigh-corrected reflectance (Rrc) outperformed the exponential extrapolation (EXP) algorithms, especially for Landsat 5/7. Neither the image-based AC algorithm nor the surface reflectance (SR) products provided by the United States Geological Survey (USGS) showed acceptable performances over coastal environments. The uncertainties in the various Landsat reflectance products over water surfaces could be associated with a relatively poor signal-to-noise ratio (SNR) in addition to radiometric calibration uncertainties, imperfect aerosol removal methods. Future research is required to collect in situ data across a wider range of water optical properties (particularly more turbid inland waters) to examine the corresponding applicability of Landsat-series observations.

Landsat AERONET-OC Atmospheric correction Remote sensing reflectance

SCI

英语

第一 ; 通讯

National Natural Science Foundation of China[41671338][41625001] ; Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control[2017B030301012] ; High-level Special Funding of the Southern University of Science and Technology[G02296302][G02296402]

Remote Sensing

Remote Sensing

WOS:000591913700005

ELSEVIER

Web of Science

1.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen, Peoples R China
2.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan, Peoples R China
3.Southern Univ Sci & Technol, Shenzhen Municipal Engn Lab Environm IoT Technol, Shenzhen, Peoples R China

Xu, Yang,Feng, Lian,Zhao, Dan,et al. Assessment of Landsat atmospheric correction methods for water color applications using global AERONET-OC data[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2020,93.

Xu, Yang,Feng, Lian,Zhao, Dan,&Lu, Jianzhong.(2020).Assessment of Landsat atmospheric correction methods for water color applications using global AERONET-OC data.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,93.

Xu, Yang,et al."Assessment of Landsat atmospheric correction methods for water color applications using global AERONET-OC data".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 93(2020).