@Article{MacielNBMFOCL:2020:EvPoCu,
               author = "Maciel, Daniel Andrade and Novo, Evlyn M{\'a}rcia Le{\~a}o de 
                         Moraes and Barbosa, Cl{\'a}udio Clemente Faria and Martins, Vitor 
                         Souza and Flores J{\'u}nior, Rog{\'e}rio and Oliveira, Afonso 
                         Henrique and Carvalho, Lino Augusto Sander de and Lobo, Felipe de 
                         Lucia",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Iowa State University (ISU)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Universidade Federal 
                         do Rio de Janeiro (UFRJ)} and {Universidade Federal de Pelotas 
                         (UFPel)}",
                title = "Evaluating the potential of CubeSats for remote sensing 
                         reflectance retrieval over inland waters",
              journal = "International Journal of Remote Sensing",
                 year = "2020",
               volume = "41",
               number = "7",
                pages = "2807--2817",
                month = "Apr.",
             abstract = "Remote sensing plays an important role in the monitoring of inland 
                         waters. Recently, Cubesats have become an alternative data source 
                         for studies that require high spatiotemporal resolutions. However, 
                         the radiometric quality of those data was never evaluated for 
                         inland water studies. This letter presents the experimental 
                         results to assess the quality of the Remote Sensing Reflectance 
                         (Rrs) from commercial PlanetScope (PS) CubeSat constellation. The 
                         radiometric assessment was performed using in situ Rrs measured at 
                         37 field stations on distinct lakes across Lower Amazon 
                         Floodplain. In turbid lakes, PS bands presented Rrs accuracy of 
                         46% for all VNIR bands (coefficient of determination (R2 ) = 
                         0.56), while in clear water lakes the results were not 
                         satisfactory (R2 = 0.08). Furthermore, results showed a spectral 
                         dependence in the quality of Rrs retrievals for the turbid lakes, 
                         with sounder metrics in visible bands (red band: R2 = 0.83). 
                         Finally, there is a high correlation between water quality 
                         parameters (sediments concentration and Secchi Depth) and PS Rrs 
                         at the red band (R2 > 0.74). Although PS images are mostly 
                         designed for land applications, the results suggest that the 
                         radiometric quality is sufficient for the monitoring of fine-scale 
                         mixing processes between river waters and floodplain lakes.",
                  doi = "10.1080/2150704X.2019.1697003",
                  url = "http://dx.doi.org/10.1080/2150704X.2019.1697003",
                 issn = "0143-1161",
             language = "en",
           targetfile = "maciel_evaluating.pdf",
        urlaccessdate = "27 abr. 2024"
}