@InProceedings{VasconcellosHenCorSilHud:2019:EsLeAr,
author = "Vasconcellos, Bruna Nascimento de and Hentz, {\^A}ngela Maria
Klein and Corte, Ana Paula Dalla and Silva, Carlos Alberto and
Hudak, Andrew Thomas",
affiliation = "{Universidade Federal do Paran{\'a} (UFPR)} and {Universidade
Federal do Paran{\'a} (UFPR)} and {Universidade Federal do
Paran{\'a} (UFPR)} and {University of Maryland} and {US Forest
Service (USDA)}",
title = "Estimation of leaf area index in a Mixed Ombrophilous Forest using
remote sensing data",
booktitle = "Anais...",
year = "2019",
editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco
and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
pages = "3377--3380",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "Hemispherical photographs, Mixed Ombrophilous Forest, Pleiades,
Vegetation Index.",
abstract = "This study was conducted to estimate leaf area index (LAI) in a
fragment of Mixed Ombrophilous Forest, in S{\~a}o Jo{\~a}o do
Triunfo, Brazil, using remote sensing techniques. The LAI was
generated from orbital images from the Pleiades sensor, based on
the relationship with vegetation indices (VI). On the ground, LAI
was estimated from the CI-110 Plant Canopy Analyzer, assumed to
measure actual LAI. The data obtained by the remote sensing
techniques were correlated with the data obtained from the field,
using the Pearson's correlation coefficient. The Normalized
Difference Vegetation Index (NDVI) correlation with LAI (r = 0.32)
was greatly surpassed by the Soil-Adjusted Vegetation Index (SAVI)
correlation with LAI (r = 0.78). Meanwhile, the model proposed by
SEBAL was moderately correlated with LAI (r = 0.66).",
conference-location = "Santos",
conference-year = "14-17 abril 2019",
isbn = "978-85-17-00097-3",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3U25CP5",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3U25CP5",
targetfile = "97376.pdf",
type = "Floresta e outros tipos de vegeta{\c{c}}{\~a}o",
urlaccessdate = "01 maio 2024"
}