@InProceedings{PereiraAESDJCCO:2018:EfSpRe,
author = "Pereira, Francisca Rocha de Souza and Assis, Mauro L{\'u}cio
Rodrigues de and Esp{\'{\i}}rito Santo, Ferandno and Sato,
Luciane and Dias, Emily and Jacon, Aline and Carneiro, Heitor
Guerra and Cantinho, Roberta and Ometto, Jean Pierre Henry
Balbaud",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and Minist{\'e}rio da
Ci{\^e}ncia, Tecnologia, Inova{\c{c}}{\~a}o e
Comunica{\c{c}}{\~o}es (MCTIC) and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
Minist{\'e}rio da Ci{\^e}ncia, Tecnologia, Inova{\c{c}}{\~a}o
e Comunica{\c{c}}{\~o}es (MCTIC and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "The Effects of the Spatial Resolution of Airborne Lidar Data on
Aboveground Biomass Estimation",
booktitle = "Proceedings...",
year = "2018",
organization = "IUFRO Conference",
abstract = "The amount of aboveground biomass (AGB) held in vital components
of vegetation play a significant role in the carbon cycle of
tropical forests. Reducing uncertainty of terrestrial carbon cycle
depend strongly on the accurate estimate of AGB. Lidar remote
sensing provides the most precise methodology to quantify AGB at
large scales, but the effects of the spatial resolution of
airborne lidar data on AGB estimation is unknown. Here we examine
the impact of the minimum spatial resolution threshold of lidar
data to reduce the uncertainty of AGB estimations in tropical
forest. For that we used a sizeable airborne lidar data from
Tapajos National Forest (TNF) and ten permanent field plots. We
compared two approaches: (1) we used general lidar allometric
equation of AGB estimation developed for the Amazon, testing the
best spatial resolution of lidar measurements at 25, 50 and 100
meters and compared with our ground data of forest inventory from
TNF; (2) we developed and tested a new local lidar allometric
equation to quantify AGB in TNF. Although the use of lidar cloud
cover at 50 m provides unbiased estimates of AGB, our results
demonstrated that local forest structure plays a significant role
in this general allometric equations. Our results underscored
three conclusions. First, the effects of the spatial resolution of
airborne lidar data on AGB estimation were significant. We found
that a minimum size-area of 50 meters of lidar is necessary to
produce an unbiased estimate of AGB in a local tropical forest of
Central Amazon. Second, our adjusted allometric equation for TNF,
which was based in mean canopy height model, reduced the
uncertainty of AGB from RMSE%: 36.8% to RMSE%: 26.2% (local
model). Finally, this study highlights the need of lidar
allometric equations based on local forest structure to reduce the
uncertainty of AGB estimations.",
conference-location = "Posadas, Argentina",
conference-year = "01-05 oct.",
language = "en",
targetfile = "pereira_effects.pdf",
urlaccessdate = "29 jun. 2024"
}