@InProceedings{AmorimDubr:2017:InPrIn,
author = "Amorim, Margarete Cristiane de Costa Trindade and Dubreuil,
Vincent",
title = "A interfer{\^e}ncia da precipita{\c{c}}{\~a}o na intensidade e
na distribui{\c{c}}{\~a}o espacial das ilhas de calor de
superf{\'{\i}}cie nas esta{\c{c}}{\~o}es do ano em ambiente
tropical",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "1314--1320",
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 = "This article aims to assess the intensity and spatial distribution
of surface heat islands over the urban area of Presidente
Prudente, SP, Brazil, as well as its rural surroundings, on
representative days of the four seasons. Presidente Prudente is
located in the western state of S{\~a}o Paulo and has a
continental tropical climate. It is in the transition area between
the tropical, polar and equatorial masses, resulting in the
concentration of precipitation in the spring/summer season, with a
significant decrease in the autumn/winter season. For the
diagnosis of surface heat islands, we used Landsat 8, band 10
satellite images, in the thermal infrared sensor (TIRS) 1, with
spectral resolution of 10.6-19.11 m and spatial resolution of 100
m, but treated and provided with 30-meter pixel resolution by the
United States Geological Survey (USGS) (band 10). The results
showed that the shapes of the surface heat islands and their
intensities varied according to the presence of precipitation on
the days prior to when the images taken. In the representative
images of the rainy seasons (spring/summer), temperature
differences between urban and rural targets were higher than in
the less rainy seasons (autumn/winter). Thus, the presence of
precipitation proved to be a key variable in the analysis of the
surface temperature in a tropical environment.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59558",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PS4GG2",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS4GG2",
targetfile = "59558.pdf",
type = "Meteorologia e climatologia",
urlaccessdate = "27 abr. 2024"
}