@InProceedings{GonçalvesSouzEscaKamp:2018:SpDaSt,
author = "Gon{\c{c}}alves, Gabriel Crivellaro and Souza, Lucas Augusto de
and Escada, Maria Isabel Sobral and Kampel, Silvana Amaral",
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)}",
title = "Spatial database to store years of Earth observation information
obtained from field expeditions in the Amazon",
booktitle = "Anais...",
year = "2018",
editor = "Vinhas, L{\'u}bia (INPE) and Campelo, Claudio (UFCG)",
pages = "134--139",
organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 19. (GEOINFO)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Earth observation information obtained through remote sensing and
field expeditions generate large volumes of data. These
information are usually stored on physical drives such as hard
drives. However, this data must be available to all researchers
and be stored at safe places. This paper presents the preliminary
results of modeling a spatial database (SDB), and some tools for
storing Amazonian field expedition information of land use and
localities features. Now, an information subset is already being
stored in the SDB using the web platform for management. This work
contributes to highlights the relevance of database approach,
making the management, access and query of this information easier
to research purposes.",
conference-location = "Campina Grande",
conference-year = "05-07 dez. 2018",
issn = "2179-4847",
language = "pt",
ibi = "8JMKD3MGPDW34P/3SG4DG8",
url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3SG4DG8",
targetfile = "p14.pdf",
urlaccessdate = "27 abr. 2024"
}