Bio-optical spatio-temporal characterization and development of analytical algorit...
| Full text | |
| Author(s): |
Martins, Vitor Souza
;
Faria Barbosa, Claudio Clemente
;
Sander de Carvalho, Lino Augusto
;
Ferreira Jorge, Daniel Schaffer
;
Lobo, Felipe de Lucia
;
Leao de Moraes Novo, Evlyn Marcia
Total Authors: 6
|
| Document type: | Journal article |
| Source: | REMOTE SENSING; v. 9, n. 4 APR 2017. |
| Web of Science Citations: | 35 |
| Abstract | |
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 similar to 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. (AU) | |
| FAPESP's process: | 14/23903-9 - Bio-optical spatio-temporal characterization and development of analytical algorithms for the systematic monitoring of water masses circulating on the floodplain of medium and lower Amazon |
| Grantee: | Cláudio Clemente Faria Barbosa |
| Support type: | Regular Research Grants |