Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Algoritmo Oc5"'
Autor:
Martina Daniela Camiolo, Ezequiel Cozzolino, Claudia Gloria Simionato, María Constanza Hozbor, Carlos Ángel Lasta
Publikováno v:
Brazilian Journal of Oceanography, Vol 64, Iss 1, Pp 19-28 (2016)
Abstract Remote sensing provides a global vision of the oceans; validation is, however, an essential previous step. IFREMER developed the empirical algorithm OC5 for highly turbid (or type 2) waters and it performed well for the northwestern European
Externí odkaz:
https://doaj.org/article/64a4d4d199534c05b63a8a86dcc26f9d
Autor:
Ezequiel Cozzolino, Claudia G. Simionato, María Constanza Hozbor, Martina Daniela Camiolo, Carlos A. Lasta
Publikováno v:
Brazilian Journal of Oceanography, Volume: 64, Issue: 1, Pages: 19-28, Published: MAR 2016
Brazilian Journal of Oceanography v.64 n.1 2016
Brazilian Journal of Oceanography
Universidade de São Paulo (USP)
instacron:USP
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Brazilian Journal of Oceanography, Vol 64, Iss 1, Pp 19-28 (2016)
Brazilian Journal of Oceanography v.64 n.1 2016
Brazilian Journal of Oceanography
Universidade de São Paulo (USP)
instacron:USP
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Brazilian Journal of Oceanography, Vol 64, Iss 1, Pp 19-28 (2016)
Remote sensing provides a global vision of the oceans; validation is, however, an essential previous step. IFREMER developed the empirical algorithm OC5 for highly turbid (or type 2) waters and it performed well for the northwestern European shelf. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d0551c4d704f6b7b8d0e2bf6735f757
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1679-87592016000100019&lng=en&tlng=en
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1679-87592016000100019&lng=en&tlng=en