@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 = "13 maio 2024"
}