@InProceedings{LimaLiesSouz:2009:EvCrUr,
author = "Lima, Grayce Suelen de and Liesenberg, Veraldo and Souza,
Cristiane Mansur de Moraes",
affiliation = "{Universidade Regional de Blumenau/Santa Catarina (FURB/SC)} and
{University of Mining and Technology/Germany (TUBAF/GE)} and
{Universidade Regional de Blumenau/Santa Catarina (FURB/SC)}",
title = "Evolu{\c{c}}{\~a}o do Crescimento urbano em Blumenau (Santa
Catarina) e a sua rela{\c{c}}{\~a}o com o aumento do Campo
T{\'e}rmico com dados TM/Landsat",
booktitle = "Anais...",
year = "2009",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio
Soares",
pages = "1409--1415",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "remote sensing, image processing, urban evolution, urban heat
island.",
abstract = "This study examined the Land apparent temperature of Blumenau city
located in South Brazil that was retrieved from a multi-temporal
Landsat TM thermal band dataset (January 01, 1990; January 01,
1997; January 01, 2004). The reflectance Landsat dataset was also
atmospherically corrected and registered to evaluate the urban
heat island effects and its relationship with land use change over
the years and normalized difference vegetation index (NDVI). A
Quickbird image collected on January 01, 2003 was also used in the
analyses and to validation of the results. The result showed that
the land apparent temperature obtained from Landsat data over
consolidated urban areas defined by the Urban Master Plan was
higher than for both suburban one and forested areas. The average
difference between urban areas was found to be 8°C higher than
forest which demonstrated the prominent relationship between land
use cover and apparent temperature. The negative correlation
between NDVI and urban areas suggested that the low percent
vegetation cover in some urban areas was the main cause of the
urban heat island. With the results of this article we can
demonstrate that remote sensing could be applied for urban
planning, in particular as a climate responsive approach to urban
planning.",
conference-location = "Natal",
conference-year = "25-30 abr. 2009",
isbn = "978-85-17-00044-7",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "3ERPFQRTBW/348P8LF",
url = "http://urlib.net/ibi/3ERPFQRTBW/348P8LF",
targetfile = "1409-1415.pdf",
type = "An{\'a}lise e Aplica{\c{c}}{\~a}o de Imagens Multitemporais",
urlaccessdate = "12 maio 2024"
}