@InProceedings{CarvalhoBarbLoboNovo:2019:ReSeRe,
author = "Carvalho, Lino Augusto Sander de and Barbosa, Cl{\'a}udio
Clemente Faria and Lobo, Felipe de Lucia and Novo, Evlyn
M{\'a}rcia Le{\~a}o de Moraes",
affiliation = "{Universidade Federal do Rio de Janeiro (UFRJ)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Universidade Federal
do Rio de Janeiro (UFRJ} and {Instituto Nacional de Pesquisas
Espaciais (INPE)}",
title = "Comparison for chlorophyll: a remote sensing retrieval algorithms
based on standard laboratory procedures and on in-situ absorption
measurements",
booktitle = "Anais...",
year = "2019",
editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco
and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
pages = "1722--1725",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "Chlorophyll-a, Remote Sensing, Amazon Floodplain Lakes, Absorption
Spectra.",
abstract = "Water quality monitoring is vital to guaranty endless water
resources to the human population. In that sense, orbital remote
sensing can be a significant tool for large scale monitoring.
However, the retrieval of water parameters that could inform about
water quality depends on the reliability of the algorithms. This
work aims on testing the suitability of an algorithm for
retrieving the in-situ Chla absorption peak in 676 nm
(a\φ(676)) as a proxy of Chla concentration for Amazon
floodplain lakes. This way a\φ(676) could be used as a
surrogate of Chlorophyll-a (Chla) concentration. Results show
that, for the receding period, a\φ(676) instead of Chla can
be more suitable for a better understanding of Chla dynamic in
Amazon floodplain lakes. This approach also encourages the use of
in-situ absorption data to support Remote Sensing retrievals of
Chla.",
conference-location = "Santos",
conference-year = "14-17 abril 2019",
isbn = "978-85-17-00097-3",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3UA4FLE",
url = "http://urlib.net/rep/8JMKD3MGP6W34M/3UA4FLE",
targetfile = "97885.pdf",
type = "Sensoriamento remoto de {\'a}guas interiores",
urlaccessdate = "18 jan. 2021"
}