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 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
22/04/2025 |
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Data da última atualização: |
22/04/2025 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
OLIVEIRA, A. H. M.; CHAVES, J. H.; MATRICARDI, E. A. T.; FELIX, I. M.; MAGLIANO, M. M.; MARTORANO, L. G. |
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Afiliação: |
AFONSO HENRIQUE MORAES OLIVEIRA, UNIVERSIDADE FEDERAL DO OESTE DO PARÁ; JOSÉ HUMBERTO CHAVES, SERVIÇO FLORESTAL BRASILEIRO; ERALDO APARECIDO T. MATRICARDI, UNIVERSIDADE DE BRASÍLIA; IARA MUSSE FELIX, SCCON GEOSPATIAL; MAURO MENDONÇA MAGLIANO, POLÍCIA FEDERAL; LUCIETA GUERREIRO MARTORANO, CPATU. |
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Título: |
Monitoring sustainable forest management plans in the Amazon: Integrating LiDAR data and PlanetScope imagery. |
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Ano de publicação: |
2025 |
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Fonte/Imprenta: |
Remote Sensing Applications: Society and Environment, v. 38, 101535, 2025. |
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DOI: |
https://doi.org/10.1016/j.rsase.2025.101535 |
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Idioma: |
Inglês |
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Conteúdo: |
Selective logging monitoring has traditionally relied on either medium-resolution optical imagery or LiDAR data alone, limiting the detection of both spectral and structural changes in forest cover. This study proposes a integrated analytical approach in parallel of LiDAR data and PlanetScope imagery to enhance monitoring of forest disturbances caused by selective logging in the Amazon. Notably, the correlation between the volume of wood extracted and LiDAR-detected areas is high (r2 = 0.9), demonstrating the accuracy of this method in detecting logging-impacted areas. In contrast, the correlation between wood volume and PlanetScope-based mapping is moderate (r2 = 0.7), indicating that while this approach effectively detects logging-related disturbances, its accuracy is influenced by factors such as canopy structure and image resolution. LiDAR mapping detected 15.5 % of the total impacted area, compared to 13.7 % detected by PlanetScope. LiDAR achieved higher accuracy in detecting subtle structural changes, such as small clearings (<0.2 ha). Globally, PlanetScope mapping underestimated the total area of clearings, identifying 63.3 ha, whereas LiDAR detected 113.8 ha. The global accuracy of PlanetScope mapping was moderate (P = 0.62) with low recall (R = 0.41), indicating significant underestimation of disturbed forest areas. Metrics such as the global F1-Score (0.50), IoU (0.33), and relatively high RMSE (50.51) further highlight the differences between the two methods. Despite these limitations, PlanetScope mapping was more effective than systems like DETER and SAD in detecting clearings smaller than 1 ha. The integration of these technologies provides more precise and reliable data, strengthening sustainable forest management monitoring and offering critical insights to inform public policies for the Amazon forest sector MenosSelective logging monitoring has traditionally relied on either medium-resolution optical imagery or LiDAR data alone, limiting the detection of both spectral and structural changes in forest cover. This study proposes a integrated analytical approach in parallel of LiDAR data and PlanetScope imagery to enhance monitoring of forest disturbances caused by selective logging in the Amazon. Notably, the correlation between the volume of wood extracted and LiDAR-detected areas is high (r2 = 0.9), demonstrating the accuracy of this method in detecting logging-impacted areas. In contrast, the correlation between wood volume and PlanetScope-based mapping is moderate (r2 = 0.7), indicating that while this approach effectively detects logging-related disturbances, its accuracy is influenced by factors such as canopy structure and image resolution. LiDAR mapping detected 15.5 % of the total impacted area, compared to 13.7 % detected by PlanetScope. LiDAR achieved higher accuracy in detecting subtle structural changes, such as small clearings (<0.2 ha). Globally, PlanetScope mapping underestimated the total area of clearings, identifying 63.3 ha, whereas LiDAR detected 113.8 ha. The global accuracy of PlanetScope mapping was moderate (P = 0.62) with low recall (R = 0.41), indicating significant underestimation of disturbed forest areas. Metrics such as the global F1-Score (0.50), IoU (0.33), and relatively high RMSE (50.51) further highlight the differences between the two methods. Desp... Mostrar Tudo |
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Palavras-Chave: |
Manejo florestal; Manejo sustentavel. |
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Thesagro: |
Desenvolvimento Sustentável; Extração da Madeira; Madeira; Manejo. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
LEADER 02715naa a2200265 a 4500
001 2174987
005 2025-04-22
008 2025 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.rsase.2025.101535$2DOI
100 1 $aOLIVEIRA, A. H. M.
245 $aMonitoring sustainable forest management plans in the Amazon$bIntegrating LiDAR data and PlanetScope imagery.$h[electronic resource]
260 $c2025
520 $aSelective logging monitoring has traditionally relied on either medium-resolution optical imagery or LiDAR data alone, limiting the detection of both spectral and structural changes in forest cover. This study proposes a integrated analytical approach in parallel of LiDAR data and PlanetScope imagery to enhance monitoring of forest disturbances caused by selective logging in the Amazon. Notably, the correlation between the volume of wood extracted and LiDAR-detected areas is high (r2 = 0.9), demonstrating the accuracy of this method in detecting logging-impacted areas. In contrast, the correlation between wood volume and PlanetScope-based mapping is moderate (r2 = 0.7), indicating that while this approach effectively detects logging-related disturbances, its accuracy is influenced by factors such as canopy structure and image resolution. LiDAR mapping detected 15.5 % of the total impacted area, compared to 13.7 % detected by PlanetScope. LiDAR achieved higher accuracy in detecting subtle structural changes, such as small clearings (<0.2 ha). Globally, PlanetScope mapping underestimated the total area of clearings, identifying 63.3 ha, whereas LiDAR detected 113.8 ha. The global accuracy of PlanetScope mapping was moderate (P = 0.62) with low recall (R = 0.41), indicating significant underestimation of disturbed forest areas. Metrics such as the global F1-Score (0.50), IoU (0.33), and relatively high RMSE (50.51) further highlight the differences between the two methods. Despite these limitations, PlanetScope mapping was more effective than systems like DETER and SAD in detecting clearings smaller than 1 ha. The integration of these technologies provides more precise and reliable data, strengthening sustainable forest management monitoring and offering critical insights to inform public policies for the Amazon forest sector
650 $aDesenvolvimento Sustentável
650 $aExtração da Madeira
650 $aMadeira
650 $aManejo
653 $aManejo florestal
653 $aManejo sustentavel
700 1 $aCHAVES, J. H.
700 1 $aMATRICARDI, E. A. T.
700 1 $aFELIX, I. M.
700 1 $aMAGLIANO, M. M.
700 1 $aMARTORANO, L. G.
773 $tRemote Sensing Applications: Society and Environment$gv. 38, 101535, 2025.
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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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| Registros recuperados : 39 | |
| 6. |  | SOUSA, M. B. e; SILVA, K. J. D. e; ROCHA, M. de M.; NEVES, A. C. das. Estimativas de parâmetros genéticos em linhagens de feijão-caupi nos municípios de Balsas, MA e Primavera do Leste, MT. In: CONGRESSO NACIONAL DE FEIJÃO-CAUPI, 3., 2013, Recife. Feijão-Caupi como alternativa sustentável para os sistemas produtivos familiares e empresariais. Recife: IPA, 2013. CONAC 2012. Disponível em: http://www.conac2012.org/resumos/pdf/132a.pdf. Acesso em: 22 jul. 2013.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Meio-Norte. |
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| 7. | | SILVA, E. M. da; DINIZ, R. P.; SOUSA, M. B. e; BRAATZ, L. R.; OLIVEIRA, E. J. de. Geração de clones superiores de mandioca em progênies F1, S1 e S2. In: JORNADA CIENTÍFICA EMBRAPA MANDIOCA E FRUTICULTURA, 13., 2019. Foco e valor : resumos. Cruz das Almas, BA: Embrapa Mandioca e Fruticultura,2019. 119 p. il.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 10. | | SOUSA, M. B. e; SAMPAIO FILHO, J. S.; ANDRADE, L. R. B. de; OLIVEIRA, E. J. de. Near-infrared spectroscopy for early selection of waxy cassava clones via seed analysis. Frontiers in Plant Science, Frontiers Media SA, v.14, n., p., 2023 1664-462X, 2023.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 14. | | SOUSA, M. B. e; SILVA, K. J. D. e; ROCHA, M. de M.; MENEZES JUNIOR, J. A. de; LIMA, L. R. L. Adaptability and yield stability of cowpea elite lines of semi-prostrate growth habit in the cerrado biome. Revista Ciência Agronômica, v. 48, n. 5, Esp., p. 832-839, 2017.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Meio-Norte. |
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| 15. | | SOUSA, M. B. e; SILVA, K. J. D. e; ROCHA, M. de M.; MENEZES JUNIOR, J. A. de; LIMA, L. R. L. Adaptabilidade e estabilidade produtiva em linhagens elite de feijão-caupi de porte semiprostrado no Cerrado do Brasil. In: CONGRESSO NACIONAL DE FEIJÃO-CAUPI, 4., 2016, Sorriso. Feijão-caupi: avanços e desafios tecnológicos e de mercado: resumos. Brasília, DF: Embrapa, 2016. p. 133. Na publicação: Kaesel Jackson Damasceno-Silva.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Meio-Norte. |
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| 16. | | BISPO, V. R. de S.; SOUSA, M. B. e; SOUZA, G. D. de; CARVALHO, R. R. B. de; OLIVEIRA, L. A. de; OLIVEIRA, E. J. de. Classificação de genótipos de mandioca quanto à presença de compostos cianogênicos nas raízes via espectroscopia na região do visível (VIS) e infravermelho próximo (NIR). In: JORNADA CIENTÍFICA EMBRAPA MANDIOCA E FRUTICULTURA, 13., 2019. Foco e valor : resumos. Cruz das Almas, BA: Embrapa Mandioca e Fruticultura,2019. 119 p. il.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 18. | | SOUSA, M. B. e; PIRES, C. de J.; SILVA, J. D. L. da; CARVALHO, L. C. B.; SILVA, K. J. D. e; ROCHA, M. de M. Divergência genética em genótipos de feijão-caupi de porte semi-ereto e ereto. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 6., 2011, Búzios. Panorama atual e perspectivas do melhoramento de plantas no Brasil. [Búzios]: SBMP, 2011. 4 p. 1 CD-ROM.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Meio-Norte. |
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| 19. | | PIRES, C. de J.; SOUSA, M. B. e; SOUSA, C. M. B. de; LIMA, L. R. L.; SILVA, K. J. D. e; ROCHA, M. de M. Diversidade genética de genótipos de feijão-caupi de Porte Semi-Prostrado. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 6., 2011, Búzios. Panorama atual e perspectivas do melhoramento de plantas no Brasil: [anais]. Búzios: SBMP, 2011. 4 p. 1 CD-ROM.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Meio-Norte. |
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| 20. | | SILVA, P. P. dos S.; SOUSA, M. B. e; OLIVEIRA, E. J. de; MORGANTE, C. V.; OLIVEIRA, C. R. S. de; VIEIRA, S. L.; BOREL, J. C. Genome-wide association study of drought tolerance in cassava. Euphytica, v.217, n.60, 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Mandioca e Fruticultura; Embrapa Semiárido. |
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| Registros recuperados : 39 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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