@InProceedings{CassolMoraShimCarr:2017:MoAcBi,
author = "Cassol, Henrique Luis Godinho and Moraes, Elisabete Caria and
Shimabukuro, Yosio Edemir and Carreiras, Jo{\~a}o Manuel de B.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Modelagem do ac{\'u}mulo de biomassa nas Florestas
Secund{\'a}rias de Santar{\'e}m-PA",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "1526--1533",
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 = "Secondary forests are one of the major carbon sink in the
Neotropics. So, accurate estimates of their contribution to the
carbon cycle are a great challenge. Here, we propose a biomass
growth accumulation model of secondary forest using remote sensing
data, field work and age image classified. This study was
performed in Santar{\'e}m, Par{\'a} state in the Brazilian
Amazon region. Multiple regression analysis was performed to
select the best model by corrected Akaike information criterion
(AICc). The best fitted models involved age image as biomass
predictor. In spite of huge effort to obtain age image, we prove
that this variable is essential to improve accuracy in mapping
secondary forest biomass.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59397",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PS4GRS",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS4GRS",
targetfile = "59397.pdf",
type = "Floresta e outros tipos de vegeta{\c{c}}{\~a}o",
urlaccessdate = "28 abr. 2024"
}