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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemarte2.sid.inpe.br
Identifier8JMKD3MGP6W34M/3U3RNTS
Repositorysid.inpe.br/marte2/2019/09.17.13.25
Last Update2019:09.17.13.25.15 (UTC) administrator
Metadata Repositorysid.inpe.br/marte2/2019/09.17.13.25.15
Metadata Last Update2019:12.13.01.05.29 (UTC) administrator
ISBN978-85-17-00097-3
Citation KeySilvaDuHaKlHuDu:2019:FoPlBr
TitleEstimating forest attributes in industrial Pinus taeda L. forest plantations in Brazil using simulated NASA's GEDI spaceborne LiDAR data
FormatInternet
Year2019
Access Date2024, May 02
Secondary TypePRE CN
Number of Files1
Size591 KiB
2. Context
Author1 Silva, Carlos Alberto
2 Duncanson, Laura
3 Hancock, Steven
4 Klauberg, Carine
5 Hudak, Andrew T.
6 Dubayah, Ralph
Affiliation1 NASA Goddard Space Flight Center
2 NASA Goddard Space Flight Center
3 University of Maryland
4 Universidade Federal de São João Del-Rei (UFSJ)
5 US Forest Service (USDA)
6 University of Maryland
Author e-Mail Address1 carlos_engflorestal@outlook.com
2 lauraiduncanson@gmail.com
3 hancock@umd.edu
4 carine_klauberg@hotmail.com
5 ahudak@fs.fed.us
6 dubayah@umd.edu
EditorGherardi, Douglas Francisco Marcolino
Sanches, Ieda DelArco
Aragão, Luiz Eduardo Oliveira e Cruz de
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 19 (SBSR)
Conference LocationSantos
Date14-17 abril 2019
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages1047-1050
Book TitleAnais
Tertiary Typefull paper
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2019-11-06 17:01:42 :: simone -> administrator :: 2019
2019-12-13 01:05:29 :: administrator -> simone :: 2019
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsspaceborne lidar
forest attributes
stand modeling
pine plantations
AbstractRemote sensing technologies can dramatically increase the efficiency of plantation management by reducing or replacing time-consuming field sampling. In this study, we evaluated the capability of the NASAs Global Ecosystem Dynamic Investigation (GEDI) spaceborne lidar system for estimating forest attributes at footprint level in industrial Pinus teada L. forest plantations in Southern Brazil. In the field, 100 field plots were measured and top canopy height (HMAX; m) and timber volume (V; m3/ha) were computed. GEDI-derived metrics were simulated using airborne lidar (ALS) data. We used multiple linear regression for modeling HMAX and V from GEDI-like metrics, and we found that models defined as a function of only three GEDI-like metrics (RH98: canopy height at 98 percentiles of energy, COV: canopy cover; FHD: foliage height diversity) had a very strong and unbiased predictive power. The promising results presented herein show that GEDI, during its lifetime time of two years, may provide an appropriate technology to assist forest managers towards more cost effective and efficient forest inventory in industrial pine forest plantations.
AreaSRE
TypeLIDAR: sensores e aplicações
ArrangementProjeto Memória 60... > Livros e livros editados > SBSR 19 > Estimating forest attributes...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP6W34M/3U3RNTS
zipped data URLhttp://urlib.net/zip/8JMKD3MGP6W34M/3U3RNTS
Languagept
Target File97584.pdf
User Groupsimone
Visibilityshown
Copyright Licenseurlib.net/www/2012/11.12.15.19
Rightsholderoriginalauthor yes
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGP6W34M/3UCAT7H
Citing Item Listsid.inpe.br/marte2/2019/11.08.12.52 1
Host Collectiondpi.inpe.br/marte2/2013/05.17.15.03.06
6. Notes
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