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| Registros recuperados : 196 | |
| Registros recuperados : 196 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
23/01/2024 |
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Data da última atualização: |
23/01/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
CARVALHO, H. F. de S.; SILVA, T. G. F. da; GALVINCIO, J. D.; ANTONIO, A. C. D.; MENEZES, R. S. C.; SANTOS, C. V. B. dos; MIRANDA, R. de Q.; NOBREGA, R. L. B.; DOMINGUES, T. F.; SILVA, E. A.; MOURA, M. S. B. de. |
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Afiliação: |
HERICA 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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Título: |
Use of terrestrial laser scanner for aboveground biomass estimation in a seasonally dry tropical forest. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Revista Brasileira de Geografia Física, v. 16 n. 5, p. 2641-2657, 2023. |
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DOI: |
https://doi.org/10.26848/rbgf.v16.5.p2741-2657 |
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Idioma: |
Português |
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Conteúdo: |
Structural 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 MenosStructural 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 an... Mostrar Tudo |
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Palavras-Chave: |
Florestas tropicais sazonalmente secas; Laser scanner. |
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Thesagro: |
Biomassa; Caatinga; Floresta Tropical; Solo; Vegetação. |
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Thesaurus NAL: |
Biomass; Tropical forests. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/260982/1/Use-of-terrestrial-laser-scanner-for-aboveground-biomass-estimation-in-a-seasonally-dry-tropical-forest.-2023.pdf
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Marc: |
LEADER 02641naa a2200361 a 4500
001 2161183
005 2024-01-23
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.26848/rbgf.v16.5.p2741-2657$2DOI
100 1 $aCARVALHO, H. F. de S.
245 $aUse of terrestrial laser scanner for aboveground biomass estimation in a seasonally dry tropical forest.$h[electronic resource]
260 $c2023
520 $aStructural 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
650 $aBiomass
650 $aTropical forests
650 $aBiomassa
650 $aCaatinga
650 $aFloresta Tropical
650 $aSolo
650 $aVegetação
653 $aFlorestas tropicais sazonalmente secas
653 $aLaser scanner
700 1 $aSILVA, T. G. F. da
700 1 $aGALVINCIO, J. D.
700 1 $aANTONIO, A. C. D.
700 1 $aMENEZES, R. S. C.
700 1 $aSANTOS, C. V. B. dos
700 1 $aMIRANDA, R. de Q.
700 1 $aNOBREGA, R. L. B.
700 1 $aDOMINGUES, T. F.
700 1 $aSILVA, E. A.
700 1 $aMOURA, M. S. B. de
773 $tRevista Brasileira de Geografia Física$gv. 16 n. 5, p. 2641-2657, 2023.
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Embrapa Semiárido (CPATSA) |
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