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New technologies for expedited forest inventory using smartphone applications

2023-08Journal article Open access
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dc.contributor.authorSandim, André
dc.contributor.authorAmaro, Mariana
dc.contributor.authorSilva, Maria Emilia
dc.contributor.authorCunha, Jorge
dc.contributor.authorMorais, Susana
dc.contributor.authorMarques, Alexandra
dc.contributor.authorFerreira, André
dc.contributor.authorLousada, José Luis
dc.contributor.authorFonseca, Teresa
dc.date.accessioned2024-07-02T10:55:52Z
dc.date.available2024-07-02T10:55:52Z
dc.date.issued2023-08
dc.description.abstractThe forest inventory plays a crucial role in forest management planning, and it is the first step in planning actions for forest production. However, conducting an inventory can be expensive and complex. Forest inventory applications on smartphones have emerged as an alternative to traditional methods and they aim to make field data collection more accessible to non-professionals while ensuring accuracy in determining the volume of wood in a given area. This study evaluates the effectiveness of the Katam, Arboreal, and Trestima applications compared to traditional data collection methods. The study focuses on assessing the stand density and diameter of sampled trees—two key variables that are assessed in forest inventories. Two species, maritime pine (Pinus pinaster Aiton) and Eucalyptus spp. (mainly Eucalyptus globulus and Eucalyptus nitens), were used to evaluate the performance of the methods, with assessments performed in the stands of diverse dendrometric characteristics, specifically those regarding the tree age, stand density, and topographic conditions (flat or sloping terrain). For the purpose of comparison, goodness-of-fit statistics (R2, RMSE, and BIAS) were calculated, and an analysis of the diameter distribution and comparison of the mean diameter, number of trees per hectare, and basal area were performed. In general, the applications were accurate, and the average basal area did not differ significantly from the traditional method. The diameter measurements showed good accuracy. The accuracy of the applications varied depending on the terrain and forest characteristics, with the applications performing better in areas with flat terrain, as well as with older forests that were regular and had low under-cover density. In contrast, the applications performed worse in younger, irregular forests with sloping terrain, high tree density, and those with a great deal of understory vegetation. The applications still need to evolve in evaluating other important variables (such as tree height or volume) as they are currently estimated from auxiliary variables through mathematical equations.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSandim, A.; Amaro, M.; Silva, M.E.; Cunha, J.; Morais, S.; Marques, A.; Ferreira, A.; Lousada, J.L.; Fonseca, T. New technologies for expedited forest inventory using smartphone applications. Forests 2023, 14, 1553pt_PT
dc.identifier.doi10.3390/f14081553pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/31218
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationPOCI-01-0247-FEDER-046081pt_PT
dc.relationCentre for the Research and Technology of Agro-Environmental and Biological Sciences
dc.relationForest Research Centre
dc.relation.publisherversionhttps://www.mdpi.com/journal/forestspt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectforest managementpt_PT
dc.subjectdendrometric evaluationspt_PT
dc.subjectmaritime pinept_PT
dc.subjecteucalyptuspt_PT
dc.titleNew technologies for expedited forest inventory using smartphone applicationspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCentre for the Research and Technology of Agro-Environmental and Biological Sciences
oaire.awardTitleForest Research Centre
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04033%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00239%2F2020/PT
oaire.citation.issue8pt_PT
oaire.citation.startPageArticle number 1553pt_PT
oaire.citation.titleForestspt_PT
oaire.citation.volume14pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameFidalgo Fonseca
person.givenNameTeresa de Jesus
person.identifiereWn29rkAAAAJ&hl
person.identifier.ciencia-id431D-40D3-316B
person.identifier.orcid0000-0001-6269-3605
person.identifier.scopus-author-id8310219800
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationaa1b45d3-8db7-4d92-a5c7-7eb289c546d3
relation.isAuthorOfPublication.latestForDiscoveryaa1b45d3-8db7-4d92-a5c7-7eb289c546d3
relation.isProjectOfPublication7a6510b5-ce03-44ea-88c5-007d0ab7329c
relation.isProjectOfPublication56bd0ae9-f8da-4344-b9a2-f633d4f68b89
relation.isProjectOfPublication.latestForDiscovery7a6510b5-ce03-44ea-88c5-007d0ab7329c

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