Postfire tree structure from high-resolution LiDAR and RBR sentinel 2A fire severity metrics in a Pinus halepensis-dominated burned stand (2020)
- Authors:
- Autor USP: ALMEIDA, DANILO ROBERTI ALVES DE - ESALQ
- Unidade: ESALQ
- DOI: 10.3390/rs12213554
- Subjects: AERONAVES NÃO TRIPULADAS; BIOINDICADORES; IMAGEAMENTO DE SATÉLITE; INCÊNDIOS FLORESTAIS; PINHEIRO; SENSORIAMENTO REMOTO; TECNOLOGIA LIDAR
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Remote Sensing
- ISSN: 2072-4292
- Volume/Número/Paginação/Ano: v. 12, n. 21, art. 3554, p. 1-21, 2020
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
VIEDMA, Olga e ALMEIDA, Danilo Roberti Alves de e MORENO, Jose Manuel. Postfire tree structure from high-resolution LiDAR and RBR sentinel 2A fire severity metrics in a Pinus halepensis-dominated burned stand. Remote Sensing, v. 12, n. 21, p. 1-21, 2020Tradução . . Disponível em: https://doi.org/10.3390/rs12213554. Acesso em: 24 abr. 2024. -
APA
Viedma, O., Almeida, D. R. A. de, & Moreno, J. M. (2020). Postfire tree structure from high-resolution LiDAR and RBR sentinel 2A fire severity metrics in a Pinus halepensis-dominated burned stand. Remote Sensing, 12( 21), 1-21. doi:10.3390/rs12213554 -
NLM
Viedma O, Almeida DRA de, Moreno JM. Postfire tree structure from high-resolution LiDAR and RBR sentinel 2A fire severity metrics in a Pinus halepensis-dominated burned stand [Internet]. Remote Sensing. 2020 ; 12( 21): 1-21.[citado 2024 abr. 24 ] Available from: https://doi.org/10.3390/rs12213554 -
Vancouver
Viedma O, Almeida DRA de, Moreno JM. Postfire tree structure from high-resolution LiDAR and RBR sentinel 2A fire severity metrics in a Pinus halepensis-dominated burned stand [Internet]. Remote Sensing. 2020 ; 12( 21): 1-21.[citado 2024 abr. 24 ] Available from: https://doi.org/10.3390/rs12213554 - High-Density UAV-LiDAR in an Integrated Crop-Livestock-Forest System: Sampling Forest Inventory or Forest Inventory Based on Individual Tree Detection (ITD)
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Informações sobre o DOI: 10.3390/rs12213554 (Fonte: oaDOI API)
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