@InProceedings{UmmusFerrVian:2009:RePrUt,
author = "Ummus, Marta Eichemberger and Ferreira, Nelson Jesus and Viana,
Denilson Ribeiro",
affiliation = "{Instituto Nacional de Pesquisas Espaciais/INPE} and {Instituto
Nacional de Pesquisas Espaciais/INPE} and {Instituto Nacional de
Pesquisas Espaciais/INPE}",
title = "Resultados preliminares da utiliza{\c{c}}{\~a}o de dados do
sensor MODIS para detec{\c{c}}{\~a}o de eventos frios na
regi{\~a}o Sul do Brasil",
booktitle = "Anais...",
year = "2009",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio
Soares",
pages = "1699--1706",
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 = "MOD11 product, cold events, Land Surface Temperature, eventos
frios, Plataforma de Coleta de Dados, Temperatura de
Superf{\'{\i}}cie Terrestre.",
abstract = "Pronounced declines of temperature in Southern Brazil may lead to
several phenomena that can drive to serious consequences for crops
and farms, as for instance frosts. One of the most important
parameters to understand these occurrences is Land Surface
Temperature (LST), once it is the principal indicator of energy
balance. Thus, LST data obtained through remote sensing is an
important tool for analyses like that, once they can extend over
areas not covered by conventional stations for collecting
meteorological data. The aim of this study is to correlate LST
data estimated by MOD11 product of MODIS sensor aboard Terra
platform and data recorded by data collecting landing-stages of
National Meteorology Institute (INMET). Besides it was evaluated
the ability of remote sensing data, specifically MODIS sensor, to
detect cold events. Therefore Root Mean Squared Error (RMSE) and
Bias values were calculated so as to regard three perspectives:
latitude, geomorphological subdivision and overpass time of
sensor. Achieved results show that although there are significant
differences between observed and estimated data, RMSE and Bias
values are not so high, what shows the feasibility of the use of
MODIS data to detect and analyze cold events.",
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 = "dpi.inpe.br/sbsr@80/2008/11.17.20.44",
url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.20.44",
targetfile = "1699-1706.pdf",
type = "Atmosfera",
urlaccessdate = "16 jun. 2024"
}