@InProceedings{CunhaMarcRausKoni:2017:AnTePa,
author = "Cunha, Mona Izi Araujo and Marc{\'{\i}}lio, Norka da Silva
Albernaz and Rausch, Patricia Mota and Koniski, Meire Carla",
title = "Imagem termal do Landsat 8/TIRS/OLI: an{\'a}lise da temperatura
de parques urbanos",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "6081--6087",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "The vegetation replacement by buildings in the big cities favors
the temperature elevation, causing in the Brazilian population an
thermal discomfort, with some implications on the communities
health, especially during the spring-summer season. Remote sensing
is an important tool in spatial analyzes and in support of the
decision-making process related to regional planning and
management of environmental resources in urban systems and has
been of great importance in climate studies. In this context, the
objective of this paper is to analyze the temperature of two parks
in the city of Cuiab{\'a} / MT, verifying which would have a more
pleasant temperature considering their physical characteristics.
In order to obtain the values of the surface temperature, the
software ArcGIS 10.1 and the image of the satellite Landsat 8 TIRS
(Thermal Infrared Sensor) of the month of August of 2015 were
used, being carried out in the raster calculator of the software
the calculations to obtain the temperature, in degrees Celsius. It
was verified that the rounded physical form protects the M{\~a}e
Bonif{\'a}cia Park from external agents, while the Massairo
Okamura Park presents an irregular shape, being more subject to
the increase of temperature, fire, wind, humidity and others.
However, both parks have a more pleasant climate than the
surrounding environment in the range of 26.08 ° C to 31.76 ° C.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59817",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSMC9H",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMC9H",
targetfile = "59817.pdf",
type = "Mapeamento",
urlaccessdate = "27 abr. 2024"
}