%0 Book Section
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%@nexthigherunit 8JMKD3MGPCW/3ER446E
%3 ogashawara_bio.pdf
%@mirrorrepository urlib.net/www/2011/03.29.20.55
%4 sid.inpe.br/mtc-m21b/2016/06.09.19.27
%A Ogashawara, Igor,
%A Curtarelli, Marcelo Pedroso,
%A Araújo, Carlos Alberto Sampaio de,
%A Stech, José Luiz,
%@secondarytype PRE LI
%B Environmental applications of remote sensing
%D 2016
%E Marghany, Maged,
%@secondarykey INPE--/
%I InTech
%K Water quality, chlorophyll-a, turbidity, bio-optical modeling.
%P 235-258
%T Bio-optical modeling in a tropical hypersaline lagoon environment
%X In this chapter, we attempted to present an overview of the use of remote sensing to mon‐ itor water quality parameters, mainly chlorophyll-a (chl-a) and turbidity. We summarized the main concepts of bio-optical modeling and presented a case study of the application of the Hyperspectral Imager for the Coastal Ocean (HICO) for the monitoring of water quality in a tropical hypersaline aquatic environment. Using HICO, we evaluated a set of different semi-empirical bio-optical algorithms for chl-a and turbidity estimation devel‐ oped for inland and oceanic waters in the Araruama Lagoon, RJ, Brazil, which is an ex‐ treme environment due to its high salinity values. We also developed an empirical algorithm for both water quality parameters and compared the performances. Results showed that for chl-a estimation all models have a low performance with a normalized root mean square error (NRMSE) varying from 24.13 to 30.46. For turbidity, the bio-opti‐ cal algorithms showed a better performance with the NRMSE between 15.49 and 28.04. Overall, these results highlight the importance of including extreme environments, such as the Araruama Lagoon, on the validation of bio-optical algorithms as well as the need for new orbital hyperspectral sensors which will improve the development of the field.
%@area SRE
%@electronicmailaddress
%@electronicmailaddress mpedroso@dsr.inpe.br
%@electronicmailaddress carlos@dsr.inpe.br
%@electronicmailaddress jose.stech@inpe.br
%@documentstage not transferred
%@group
%@group DSR-OBT-INPE-MCTI-GOV-BR
%@group DSR-OBT-INPE-MCTI-GOV-BR
%@group DSR-OBT-INPE-MCTI-GOV-BR
%@dissemination BNDEPOSITOLEGAL
%@isbn 978-953-51-2444-3
%@isbn 978-953-51-2443-6
%@usergroup simone
%@resumeid
%@resumeid
%@resumeid
%@resumeid 8JMKD3MGP5W/3C9JHHN
%@affiliation Indiana University
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@versiontype publisher
%@doi 10.5772/61869
%2 sid.inpe.br/mtc-m21b/2016/06.09.19.27.16