@InProceedings{SilvaInoReiSoaKir:2015:AnExPo,
author = "Silva, Reginaldo Macedonio da and Inocencio, Leonardo Campos and
Reis, Beto Saraiva dos and Soares, Gabriel and Kirsten, Evandro",
title = "Fotos digitais obtidas com o uso de VANT para o mapeamento de
{\'a}reas verdes do Campus da Unisinos em S{\~a}o Leopoldo:
an{\'a}lise da exatid{\~a}o posicional, utilizando o software
GEOPEC",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "6281--6289",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "The use of new technologies for environmental mapping is
increasing considerably, a technology that has emerged is the
unmanned aerial vehicles (UAVs), but it should be understood what
extent such information may be used and what level of quality
data. Therefore, this study aimed to describe the pattern analysis
of positional accuracy of digital photos taken by unmanned aerial
vehicle (UAV), to analyze the level of positional quality,
enabling the construction of a digital cartographic database for
mapping green areas. Digital photos of the UAV were orthorectified
using 13 control points obtained in the field on strategic and
well-defined points. The orthorectified image was analyzed from
the coordinates coming from the field, and these are configured in
UTM projection and reference system SIRGAS2000. All points were
tracked GNSS / RTK geodetic equipment tied to the geodetic network
Campus Unisinos in S{\~a}o Leopoldo. For the study were collected
in the field 31 points, such considered without errors. The result
was within the specifications of the standard cartographic
accuracy, which will allow the use of cartographic basis for
mapping the green areas in the Unisinos Campus, located in
S{\~a}o Leopoldo / RS.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "1345",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM4HMK",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4HMK",
targetfile = "p1345.pdf",
type = "VANTs, videografia e alta resolu{\c{c}}{\~a}o",
urlaccessdate = "12 maio 2024"
}