Biomass forest modelling using UAV LiDAR data under fire effect

Detalhes bibliográficos
Autor(a) principal: Bayer, Andreas Paul Adolf
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/21269
Resumo: Mestrado em Engenharia Florestal e dos Recursos Naturais / Instituto Superior de Agronomia. Universidade de Lisboa
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spelling Biomass forest modelling using UAV LiDAR data under fire effectwildfiresremote sensingfire severitybiomass lossmaritime pineMestrado em Engenharia Florestal e dos Recursos Naturais / Instituto Superior de Agronomia. Universidade de LisboaThe main goal of the study is to analyse the possibility of quantifying the loss of biomass in burned forest stands using Light Detection and Ranging (LiDAR) data. Since wildfires are not uncommon in Mediterranean areas, it is useful to quantify the magnitude of fire damage in forests. With the use of remote sensing, it is possible to plan post-fire recovery management and to quantify the losses of biomass and carbon stock. Mata Nacional de Leiria (MNL) was chosen, because, after the fire in October 2017, it showed areas with low and medium-high fire severity. MNL is divided in several rectangular management units (MU). To achieve our objective, it was necessary to find a MU with burned and unburned areas. In this selection process, we used Sentinel-2 images. The fire severity was estimated by deriving a spectral index related with the effects of fire and to compute the temporal difference (pre- minus post-fire) of this index, the delta normalized burn ratio (DNBR). Forest inventory was carried out in four plots installed in the selected MU. Allometric equations were used to estimate values of stand aboveground biomass. These values were used to fit a relationship with data extracted from LiDAR cloud metrics. The LiDAR data were acquired with a VLP-16 Velodyne LiDAR PUCK™ mounted on an Unmanned Aerial Vehicles (UAV) at an altitude of 60 m above the ground. The point clouds were then processed with the FUSION software until a cloud metrics was generated and then regression models were used to fit equations related to LiDAR-derived parameters. Two biomass equations were fit, one with the whole tree metrics having a R² = 0,95 and a second one only considering the tree crown metrics presenting a R² = 0,93. The state of the forest (unburned/burned) was significant on the final equationISACarvalho, Ana Paula Soares MarquesSilva, João Manuel das NevesRepositório da Universidade de LisboaBayer, Andreas Paul Adolf2021-05-11T10:37:58Z20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.5/21269TID:203089235engBayer, A.P.A. - Biomass forest modelling using UAV LiDAR data under fire effect. Lisboa: ISA, 2019, 49 p.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-06T14:50:42Zoai:www.repository.utl.pt:10400.5/21269Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:05:53.252364Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Biomass forest modelling using UAV LiDAR data under fire effect
title Biomass forest modelling using UAV LiDAR data under fire effect
spellingShingle Biomass forest modelling using UAV LiDAR data under fire effect
Bayer, Andreas Paul Adolf
wildfires
remote sensing
fire severity
biomass loss
maritime pine
title_short Biomass forest modelling using UAV LiDAR data under fire effect
title_full Biomass forest modelling using UAV LiDAR data under fire effect
title_fullStr Biomass forest modelling using UAV LiDAR data under fire effect
title_full_unstemmed Biomass forest modelling using UAV LiDAR data under fire effect
title_sort Biomass forest modelling using UAV LiDAR data under fire effect
author Bayer, Andreas Paul Adolf
author_facet Bayer, Andreas Paul Adolf
author_role author
dc.contributor.none.fl_str_mv Carvalho, Ana Paula Soares Marques
Silva, João Manuel das Neves
Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Bayer, Andreas Paul Adolf
dc.subject.por.fl_str_mv wildfires
remote sensing
fire severity
biomass loss
maritime pine
topic wildfires
remote sensing
fire severity
biomass loss
maritime pine
description Mestrado em Engenharia Florestal e dos Recursos Naturais / Instituto Superior de Agronomia. Universidade de Lisboa
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-01-01T00:00:00Z
2021-05-11T10:37:58Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.5/21269
TID:203089235
url http://hdl.handle.net/10400.5/21269
identifier_str_mv TID:203089235
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Bayer, A.P.A. - Biomass forest modelling using UAV LiDAR data under fire effect. Lisboa: ISA, 2019, 49 p.
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv ISA
publisher.none.fl_str_mv ISA
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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