@InProceedings{SantosKamp:2017:AsOcCo,
author = "Santos, Jo{\~a}o Felipe Cardoso dos and Kampel, Milton",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Assessment of ocean colour remote sensing photosynthetically
available radiation in the Southeastern Brazilian margin",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "3491--3498",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Photosynthetically available radiation (PAR) comprises the
integrated irradiance between 400700 nm which reaches the sea
surface. Its importance in the marine environment is directly
related to primary productivity, which uses light in the
atmospheric carbon assimilation reactions. The algorithm for
estimating PAR with Sea-viewing Wide Field-of-View Sensor
(SeaWiFS) data was evaluated in relation to in situ measurements
during the summer and winter of 2001 and 2002. Estimates showed a
mean RMSE of ~1.77 Einstein m-2 d-1 and bias ~1.63 Einstein m-2
d-1 for the complete dataset (summer + winter). A generalized
linear model (GLM) was applied to the complete dataset decreasing
the RMSE values for < 0.7 Einstein m-2 d-1 and bias approaching
zero. PAR estimates with SeaWiFS, MODerate Imaging
Spectroradiometer (MODIS-Aqua) and MEdium Resolution Imaging
Spectrometer (MERIS) data were also compared during the winter of
2002. All three satellite estimates overestimated the in situ
measurements with a bias of ~1.5 Einstein m-2 d-1. Statistical
analyzes (RMSE, bias and r2) indicated a systematic error
corrected by GLM. After the adjustments, the estimates showed
values of bias close to zero and lower RMSE. The best performance
was observed with MODIS-Aqua data followed by SeaWiFS and MERIS,
consecutively. In general, the estimations of PAR showed a good
correlation with the in situ measurements and the linear
adjustments corrected the observed systematic error making
possible its application to other ocean colour sensors in
operation.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59598",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSLT3L",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLT3L",
targetfile = "59598.pdf",
type = "Oceanografia e sistemas costeiros",
urlaccessdate = "27 abr. 2024"
}