@InProceedings{LimaCaSuAlBaKöQu:2021:AuClCo,
author = "Lima, Thainara Munhoz Alexandre de and Carvalho, Romulo Marques
and Sutil, Ueslei Adriano and Almeida, Cl{\'a}udia Maria de and
Barbosa, Cl{\'a}udio Clemente Faria and K{\"o}rting, Thales Sehn
and Queiroz, Gilberto Ribeiro de",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Automated cloud coverage analysis with Brazil Data Cube",
booktitle = "Anais...",
year = "2021",
editor = "Vinhas, Lubia (INPE) and Gra{\c{c}}a, Alan J. Salom{\~a}o
(UERJ)",
organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 22. (GEOINFO)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "This paper approaches the topic of Data Cubes applied to the
management and monitoring of the brazilian land surface. It
presents the results of an instrumental work that aimed at
developing a tool in Python language, capable of processing raster
and vector data from cloud masks of the Brazil Data Cube STAC
catalog, with the purpose of generating statistical assessments of
the cloud coverage of a given place in a given period of time. The
program was developed in the Jupyter Notebook environment, and
hence, it is an opensource software development.",
conference-location = "On-line",
conference-year = "29 nov. a 02 dez. 2021",
issn = "2179-4847",
language = "en",
ibi = "8JMKD3MGPDW34P/45U7HU5",
url = "http://urlib.net/ibi/8JMKD3MGPDW34P/45U7HU5",
targetfile = "Lima_automated.pdf",
urlaccessdate = "11 maio 2024"
}