Remote Sensing of the Earth from Space: Atmospheric Correction

Kondratyev, K. Ya.; Kozoderov, V. V.; Smokty, Oleg I.

doi:10.1007/978-3-642-76747-0

Cited by 39 publications

(17 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The seasonal variability of atmospheric constituents imposes distinct conditions for atmospheric correction and the background information of these constituents is desirable to understand the effects on remote sensing data [75]. Figure 6 presents the monthly average of AOD 550 , U H 2 O and cloud cover frequency using 15-year MAIAC Terra products in the study area (red box in Figure 1).…”

Section: Background Of Atmospheric Constituentsmentioning

confidence: 99%

Assessment of Atmospheric Correction Methods for Sentinel-2 MSI Images Applied to Amazon Floodplain Lakes

et al. 2017

View full text Add to dashboard Cite

Satellite data provide the only viable means for extensive monitoring of remote and large freshwater systems, such as the Amazon floodplain lakes. However, an accurate atmospheric correction is required to retrieve water constituents based on surface water reflectance (R W ). In this paper, we assessed three atmospheric correction methods (Second Simulation of a Satellite Signal in the Solar Spectrum (6SV), ACOLITE and Sen2Cor) applied to an image acquired by the MultiSpectral Instrument (MSI) on-board of the European Space Agency's Sentinel-2A platform using concurrent in-situ measurements over four Amazon floodplain lakes in Brazil. In addition, we evaluated the correction of forest adjacency effects based on the linear spectral unmixing model, and performed a temporal evaluation of atmospheric constituents from Multi-Angle Implementation of Atmospheric Correction (MAIAC) products. The validation of MAIAC aerosol optical depth (AOD) indicated satisfactory retrievals over the Amazon region, with a correlation coefficient (R) of~0.7 and 0.85 for Terra and Aqua products, respectively. The seasonal distribution of the cloud cover and AOD revealed a contrast between the first and second half of the year in the study area. Furthermore, simulation of top-of-atmosphere (TOA) reflectance showed a critical contribution of atmospheric effects (>50%) to all spectral bands, especially the deep blue (92%-96%) and blue (84%-92%) bands. The atmospheric correction results of the visible bands illustrate the limitation of the methods over dark lakes (R W < 1%), and better match of the R W shape compared with in-situ measurements over turbid lakes, although the accuracy varied depending on the spectral bands and methods. Particularly above 705 nm, R W was highly affected by Amazon forest adjacency, and the proposed adjacency effect correction minimized the spectral distortions in R W (RMSE < 0.006). Finally, an extensive validation of the methods is required for distinct inland water types and atmospheric conditions.

show abstract

Section: Background Of Atmospheric Constituentsmentioning

confidence: 99%

Assessment of Atmospheric Correction Methods for Sentinel-2 MSI Images Applied to Amazon Floodplain Lakes

et al. 2017

View full text Add to dashboard Cite

show abstract

“…The illumination in the plane of image , I x y is connected with the intensity distribution in the plane object , A x y by the following relationship [6]:…”

mentioning

confidence: 99%

“…The approximate analytical expression for the spatial-frequency optical transfer function aer which equals to the frequency-contrast characteristics of the considered linear system have been obtained in [6] on the basis of polynomial approximation for the atmospheric frequency filter [6]. According to [6], the normalized optical transfer function T of the scattering aerosol-molecular atmosphere is equal to the following expression:…”

mentioning

confidence: 99%