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dc.contributor.authorCARVALHO, H. F. de S.
dc.contributor.authorSILVA, T. G. F. da
dc.contributor.authorGALVINCIO, J. D.
dc.contributor.authorANTONIO, A. C. D.
dc.contributor.authorMENEZES, R. S. C.
dc.contributor.authorSANTOS, C. V. B. dos
dc.contributor.authorMIRANDA, R. de Q.
dc.contributor.authorNOBREGA, R. L. B.
dc.contributor.authorDOMINGUES, T. F.
dc.contributor.authorSILVA, E. A.
dc.contributor.authorMOURA, M. S. B. de
dc.date.accessioned2024-01-23T13:42:34Z-
dc.date.available2024-01-23T13:42:34Z-
dc.date.created2024-01-23
dc.date.issued2023
dc.identifier.citationRevista Brasileira de Geografia Física, v. 16 n. 5, p. 2641-2657, 2023.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1161183-
dc.descriptionStructural parameters of vegetation and quantification of aboveground biomass (AGB) are important in forest monitoring to understand the vital cycle of ecosystems. This activity is even more challenging in seasonally dry tropical forests such as the Caatinga biome. The feasibility of using the terrestrial laser scanner (TLS) to measure structural parameters of plants and estimate aboveground biomass was investigated as an alternative to traditional methods. The study was conducted in an area of caatinga vegetation in the municipality of Petrolina, PE, Brazil, where three experimental subareas were selected to obtain measurements, cutting, and weighing of plants with a soil surface level diameter greater than 2.5 cm, totaling 97 plants. Scans were performed with the light detection and ranging (LiDAR) technology using TLS to obtain a three-dimensional point cloud. The correlation coefficient (r2) for plant height measured in the field and obtained by TLS was 0.80. The measures of trunk diameter at soil surfacelevel and at heights of 40 and 130 cm showed r2of 0.79, 0.78, and 0.76, respectively. New exponential allometric equations were generated using input variables obtained in the field and point cloud TLS. These results demonstrate the feasibility and potential of using LiDAR-TLS in dry forests, such as caatinga vegetation. This emphasizes the need to deepen approaches, tools, and techniques using this technology throughout the year to detect variations due to senescence and, therefore, the carbon cycle
dc.language.isopor
dc.rightsopenAccess
dc.subjectFlorestas tropicais sazonalmente secas
dc.subjectLaser scanner
dc.titleUse of terrestrial laser scanner for aboveground biomass estimation in a seasonally dry tropical forest.
dc.typeArtigo de periódico
dc.subject.thesagroSolo
dc.subject.thesagroFloresta Tropical
dc.subject.thesagroCaatinga
dc.subject.thesagroBiomassa
dc.subject.thesagroVegetação
dc.subject.nalthesaurusTropical forests
dc.subject.nalthesaurusBiomass
riaa.ainfo.id1161183
riaa.ainfo.lastupdate2024-01-23
dc.identifier.doihttps://doi.org/10.26848/rbgf.v16.5.p2741-2657
dc.contributor.institutionHERICA FERNANDA DE SOUSA CARVALHO, UFPE; THIERES GEORGE FREIRE DA SILVA, Federal Rural University of Pernambuco, Serra Talhada Academic Unit, Serra Talhada, PE; JOSICLÊDA DOMICIANO GALVÍNCIO, UFPE; ANTÔNIO CELSO DANTAS ANTONINO, UFPE; ROMULO SIMÕES CEZAR MENEZES, UFPE; CLOVES VILAS BOAS DOS SANTOS, UFPE; RODRIGO DE QUEIROGA MIRANDA, University of Manitoba, Manitoba, Canada; RODOLFO LUIZ BEZERRA NÓBREGA, University of Bristol, Bristol, United Kingdom; TOMAS FERREIRA DOMINGUES, University of São Paulo, Ribeirão Preto, SP; EMANUEL ARAÚJO SILVA, UFRPE; MAGNA SOELMA BESERRA DE MOURA, CPATSA.
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