%0 Conference Proceedings
%4 sid.inpe.br/mtc-m16c/2021/12.09.11.47
%2 sid.inpe.br/mtc-m16c/2021/12.09.11.47.24
%@issn 2179-4847
%T Automated cloud coverage analysis with Brazil Data Cube
%D 2021
%A Lima, Thainara Munhoz Alexandre de,
%A Carvalho, Romulo Marques,
%A Sutil, Ueslei Adriano,
%A Almeida, Cláudia Maria de,
%A Barbosa, Cláudio Clemente Faria,
%A Körting, Thales Sehn,
%A Queiroz, Gilberto Ribeiro de,
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@electronicmailaddress thainara.lima@inpe.br
%@electronicmailaddress mr.romulomarques@gmail.com
%@electronicmailaddress ueslei.sutil@inpe.br
%@electronicmailaddress claudia.almeida@inpe.br
%@electronicmailaddress claudio.barbosa@inpe.br
%@electronicmailaddress thales.korting@inpe.br
%@electronicmailaddress gilberto.queiroz@inpe.br
%E Vinhas, Lubia (INPE),
%E Graça, Alan J. Salomão (UERJ),
%B Simpósio Brasileiro de Geoinformática, 22 (GEOINFO)
%C On-line
%8 29 nov. a 02 dez. 2021
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%S Anais
%X 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.
%@language en
%3 Lima_automated.pdf