<?xml version="1.0" encoding="ISO-8859-1"?>
<metadatalist>
	<metadata ReferenceType="Journal Article">
		<site>mtc-m21d.sid.inpe.br 808</site>
		<holdercode>{isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}</holdercode>
		<identifier>8JMKD3MGP3W34T/465DSRP</identifier>
		<repository>sid.inpe.br/mtc-m21d/2022/01.04.12.53</repository>
		<lastupdate>2022:01.04.15.55.04 urlib.net/www/2021/06.04.03.40 simone</lastupdate>
		<metadatarepository>sid.inpe.br/mtc-m21d/2022/01.04.12.53.46</metadatarepository>
		<metadatalastupdate>2022:01.14.20.34.29 urlib.net/www/2021/06.04.03.40 administrator {D 2022}</metadatalastupdate>
		<doi>10.1016/j.rse.2021.112764</doi>
		<issn>0034-4257</issn>
		<label>20220104</label>
		<citationkey>LeiteSBALAMGCHFBHMDZCMSGVMSAGLMHXHDFVSK:2022:LaScMu</citationkey>
		<title>Large scale multi-layer fuel load characterization in tropical savanna using GEDI spaceborne lidar data</title>
		<year>2022</year>
		<month>JAN</month>
		<secondarytype>PRE PI</secondarytype>
		<numberoffiles>1</numberoffiles>
		<size>9626 KiB</size>
		<author>Leite, Rodrigo Vieira,</author>
		<author>Silva, Carlos Alberto,</author>
		<author>Broadbent, Eben North,</author>
		<author>Amaral, Cibele Hummel do,</author>
		<author>Liesenberg, Veraldo,</author>
		<author>Almeida, Danilo Roberti Alves de,</author>
		<author>Mohan, Midhun,</author>
		<author>Godinho, Sergio,</author>
		<author>Cardil, Adrian,</author>
		<author>Hamamura, Caio,</author>
		<author>Faria, Bruno Lopes de,</author>
		<author>Brancalion, Pedro H. S.,</author>
		<author>Hirsch, Andre,</author>
		<author>Marcatti, Gustavo Eduardo,</author>
		<author>Dalla Corte, Ana Paula,</author>
		<author>Zambrano, Angelica Maria Almeyda,</author>
		<author>Costa, Maira Beatriz Teixeira da,</author>
		<author>Matricardi, Eraldo Aparecido Trondoli,</author>
		<author>Silva, Anne Laura da,</author>
		<author>Goya, Lucas Ruggeri Re Y.,</author>
		<author>Valbuena, Ruben,</author>
		<author>Mendonca, Bruno Araujo Furtado de,</author>
		<author>Silva Júnior, Celso Henrique Leite,</author>
		<author>Aragão, Luiz Eduardo Oliveira e Cruz de,</author>
		<author>Garcia, Mariano,</author>
		<author>Liang, Jingjing,</author>
		<author>Merrick, Trina,</author>
		<author>Hudak, Andrew T.,</author>
		<author>Xiao, Jingfeng,</author>
		<author>Hancock, Steven,</author>
		<author>Duncason, Laura,</author>
		<author>Ferreira, Matheus Pinheiro,</author>
		<author>Valle, Denis,</author>
		<author>Saatchi, Sassan,</author>
		<author>Klauberg, Carine,</author>
		<group></group>
		<group></group>
		<group></group>
		<group></group>
		<group></group>
		<group></group>
		<group></group>
		<group></group>
		<group></group>
		<group></group>
		<group></group>
		<group></group>
		<group></group>
		<group></group>
		<group></group>
		<group></group>
		<group></group>
		<group></group>
		<group></group>
		<group></group>
		<group></group>
		<group></group>
		<group>DIOTG-CGCT-INPE-MCTI-GOV-BR</group>
		<group>DIOTG-CGCT-INPE-MCTI-GOV-BR</group>
		<affiliation>Universidade Federal de Viçosa (UFV)</affiliation>
		<affiliation>University of Florida</affiliation>
		<affiliation>University of Florida</affiliation>
		<affiliation>Universidade Federal de Viçosa (UFV)</affiliation>
		<affiliation>Universidade do Estado de Santa Catarina (UDESC)</affiliation>
		<affiliation>Universidade de São Paulo (USP)</affiliation>
		<affiliation>University of California—Berkeley</affiliation>
		<affiliation>University of Évora</affiliation>
		<affiliation>Technosylva Inc</affiliation>
		<affiliation>Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)</affiliation>
		<affiliation>Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM)</affiliation>
		<affiliation>Universidade de São Paulo (USP)</affiliation>
		<affiliation>Universidade Federal de São João Del Rei (UFSJ)</affiliation>
		<affiliation>Universidade Federal de São João Del Rei (UFSJ)</affiliation>
		<affiliation>Universidade Federal do Paraná (UFPR)</affiliation>
		<affiliation>University of Florida</affiliation>
		<affiliation>Universidade de Brasília (UnB)</affiliation>
		<affiliation>Universidade de Brasília (UnB)</affiliation>
		<affiliation>Universidade Federal de São João Del Rei (UFSJ)</affiliation>
		<affiliation>Universidade Federal de São João Del Rei (UFSJ)</affiliation>
		<affiliation>Bangor University</affiliation>
		<affiliation>Universidade Federal Rural do Rio de Janeiro (UFRRJ)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Universidad de Alcalá</affiliation>
		<affiliation>Purdue University</affiliation>
		<affiliation>Vanderbilt University</affiliation>
		<affiliation>US Department of Agriculture, Forest Service</affiliation>
		<affiliation>University of New Hampshire</affiliation>
		<affiliation>University of Edinburgh</affiliation>
		<affiliation>University of Maryland</affiliation>
		<affiliation>Instituto Militar de Engenharia (IME)</affiliation>
		<affiliation>University of Florida</affiliation>
		<affiliation>NASA-Jet Propulsion Laboratory</affiliation>
		<affiliation>Universidade Federal de São João Del Rei (UFSJ)</affiliation>
		<electronicmailaddress>rodrigo.leite@ufv.br</electronicmailaddress>
		<electronicmailaddress>c.silva@ufl.edu</electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress>celsohlsj@gmail.com</electronicmailaddress>
		<electronicmailaddress>luiz.aragao@inpe.br</electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress>carine_klauberg@hotmail.com</electronicmailaddress>
		<journal>Remote Sensing of Environment</journal>
		<volume>268</volume>
		<secondarymark>A1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_I A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE</secondarymark>
		<transferableflag>1</transferableflag>
		<contenttype>External Contribution</contenttype>
		<keywords>Active remote sensing, Fire, Modeling, Machine learning, UAV-lidar, Cerrado, Vegetation structure.</keywords>
		<abstract>Quantifying fuel load over large areas is essential to support integrated fire management initiatives in fire-prone regions to preserve carbon stock, biodiversity and ecosystem functioning. It also allows a better understanding of global climate regulation as a potential carbon sink or source. Large area assessments usually require data from spaceborne remote sensors, but most of them cannot measure the vertical variability of vegetation structure, which is required for accurately measuring fuel loads and defining management interventions. The recently launched NASA's Global Ecosystem Dynamics Investigation (GEDI) full-waveform lidar sensor holds potential to meet this demand. However, its capability for estimating fuel load has yet not been evaluated. In this study, we developed a novel framework and tested machine learning models for predicting multi-layer fuel load in the Brazilian tropical savanna (i.e., Cerrado biome) using GEDI data. First, lidar data were collected using an unnamed aerial vehicle (UAV). The flights were conducted over selected sample plots in distinct Cerrado vegetation formations (i.e., grassland, savanna, forest) where field measurements were conducted to determine the load of surface, herbaceous, shrubs and small trees, woody fuels and the total fuel load. Subsequently, GEDI-like full-waveforms were simulated from the high-density UAV-lidar 3-D point clouds from which vegetation structure metrics were calculated and correlated to field-derived fuel load components using Random Forest models. From these models, we generate fuel load maps for the entire Cerrado using all on-orbit available GEDI data. Overall, the models had better performance for woody fuels and total fuel loads (R-2 = 0.88 and 0.71, respectively). For components at the lower stratum, models had moderate to low performance (R-2 between 0.15 and 0.46) but still showed reliable results. The presented framework can be extended to other fire-prone regions where accurate measurements of fuel components are needed. We hope this study will contribute to the expansion of spaceborne lidar applications for integrated fire management activities and supporting carbon monitoring initiatives in tropical savannas worldwide.</abstract>
		<area>SRE</area>
		<language>en</language>
		<targetfile>Leite_large_2022.pdf</targetfile>
		<usergroup>administrator</usergroup>
		<usergroup>simone</usergroup>
		<readergroup>administrator</readergroup>
		<readergroup>simone</readergroup>
		<visibility>shown</visibility>
		<archivingpolicy>denypublisher allowfinaldraft24</archivingpolicy>
		<readpermission>deny from all and allow from 150.163</readpermission>
		<documentstage>not transferred</documentstage>
		<dissemination>WEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.</dissemination>
		<hostcollection>urlib.net/www/2021/06.04.03.40</hostcollection>
		<username>simone</username>
		<lasthostcollection>urlib.net/www/2021/06.04.03.40</lasthostcollection>
		<url>http://mtc-m21d.sid.inpe.br/rep-/sid.inpe.br/mtc-m21d/2022/01.04.12.53</url>
	</metadata>
</metadatalist>