@Article{PereiraNVDDDKLMNOQRH:2019:PeLaEl,
author = "Pereira, Iokanam Sales and Nascimento, Henrique E. Mendon{\c{c}}a
do and Vicari, Matheus Boni and Disney, Mathias and DeLucia, Evan
H. and Domingues, Tomas and Kruijt, Bart and Lapola, David and
Meir, Patrick and Norby, Richard J. and Ometto, Jean Pierre Henry
Balbaud and Quesada, Carlos A. and Ramming, Anja and Hofhansl,
Florian",
affiliation = "{Instituto Nacional de Pesquisas da Amaz{\^o}nia (INPA)} and
{Instituto Nacional de Pesquisas da Amaz{\^o}nia (INPA)} and
{University College London} and {University College London} and
{University of Illinois Urbana-Champaign} and {Universidade de
S{\~a}o Paulo (USP)} and {Wageningen University} and
{Universidade Estadual de Campinas (UNICAMP)} and {University of
Edinburgh} and {Oak Ridge National Laboratory} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas da Amaz{\^o}nia (INPA)} and {Technical University of
Munich} and {International Institute for Applied Systems Analysis
(IIASA)}",
title = "Performance of laser-based electronic devices for structural
analysis of Amazonian terra-firme forests",
journal = "Remote Sensing",
year = "2019",
volume = "11",
number = "5",
pages = "e510",
month = "Mar.",
keywords = "carbon storage, central-eastern Amazonia, forest structure,
terra-firme forest, terrestrial laser scanning, light detection
and ranging (LiDAR).",
abstract = "We are obliged to several persons that enabled our research stay
at ZF2. We thank Bruno Takeshi, Ana Paula Rocha, and Luciano
Castilho for providing logistic support as well as all volunteer
researchers who helped during the fieldwork and setup of the
experiment. We thank Alacimar Guedes by the quality in the service
of climbing the trees. Finally, we appreciate the helpful comments
provided by the reviewers of this paper whose corrections have led
to an improvement of the text. We thank the anonymous reviewers
for their helpful suggestions and comments on the manuscript. The
AmazonFACE program provided logistical support to conduct this
study. The AmazonFACE program is funded by the Inter-American
Development Bank through a technical cooperation agreement with
the Brazilian Ministry of Science, Technology, Innovation and
Communications (Grant BR-T1284); by Brazil's Coordination for the
Improvement of Higher Education Personnel (CAPES) Grant
23038.007722/2014-77; and by Amazonas Research Foundation (FAPEAM)
Grant 2649/2014.",
doi = "10.3390/rs11050510",
url = "http://dx.doi.org/10.3390/rs11050510",
issn = "2072-4292",
language = "en",
targetfile = "remotesensing-11-00510.pdf",
urlaccessdate = "27 abr. 2024"
}