@InProceedings{LiberatoNasc:2011:EsAlÍn,
author = "Liberato, Ailton Marcolino and Nascimento, Geissa Samira Lima",
affiliation = "{Universidade Federal de Campina Grande – UFCG} and {Universidade
Federal de Campina Grande – UFCG}",
title = "Estimativa de albedo e {\'{\i}}ndice de {\'a}rea foliar em
regi{\~a}o tropical {\'u}mida atrav{\'e}s do algoritmo SEBAL",
booktitle = "Anais...",
year = "2011",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio
Soares",
pages = "6113--6120",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "remote sensing, vegetation, Amazon, sensoriamento remoto,
vegeta{\c{c}}{\~a}o, Amaz{\^o}nia.",
abstract = "The Leaf Area Index (LAI) is a vegetation biophysical variable
used for various primary production models across scales and
global models of climate, hydrology, biogeochemistry and ecology.
Land use changes have been discussed in the global context of
environmental impacts in the last decades, because they occur on
the earth surface and it influences directly global climate. In
the last decades Remote Sensing has been assuming great importance
in the monitoring of earth natural resources. This study to
estimate albedo data and LAI from the land surface sensor using
the images of Thematic Mapper (TM) sat{\'e}lite Landsat 5 and to
compare with values available in the scientific literature. The
study area is located in the State of Rond{\^o}nia. To carry out
the study four orbital images were obtained from the satellite
Landsat 5-TM in the path 231 and in the row 67, for the dates of
13/07/2005, 30/06 and 16/07 year of 2006, which correspond to the
days 194, 181 and 197, respectively. The image processing was
developed by using the software ERDAS 8.7. The geometric
correction for images was performed and the letters of albedo and
IAF were generated. The algorithm SEBAL estimated, satisfactorily,
the values of albedo and IAF on the surface pasture and forest
(different LAI), consistent with scientific literature.",
conference-location = "Curitiba",
conference-year = "30 abr. - 5 maio 2011",
isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "3ERPFQRTRW/3A3AHT2",
url = "http://urlib.net/ibi/3ERPFQRTRW/3A3AHT2",
targetfile = "p0469.pdf",
type = "Meteorologia, Atmosfera e Agrometeorologia",
urlaccessdate = "04 maio 2024"
}