Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Danilo Roberti Alves de Almeida"'
Autor:
Pedro Medrado Krainovic, Angélica Faria de Resende, Nino Tavares Amazonas, Catherine Torres de Almeida, Danilo Roberti Alves de Almeida, Carina Camargo Silva, Henrique Sverzut Freire de Andrade, Ricardo Ribeiro Rodrigues, Pedro Henrique Santin Brancalion
Publikováno v:
Perspectives in Ecology and Conservation, Vol 21, Iss 4, Pp 294-301 (2023)
Restoring tropical forests still relies on expensive tree planting. Timber production from native trees offers a promising opportunity to make restoration financially viable, but species growth data are lacking. We assessed the potential of tropical
Externí odkaz:
https://doaj.org/article/00865513bf7c48e7a41cb1633dde263c
Autor:
Kleydson Diego Rocha, Carlos Alberto Silva, Diogo N. Cosenza, Midhun Mohan, Carine Klauberg, Monique Bohora Schlickmann, Jinyi Xia, Rodrigo V. Leite, Danilo Roberti Alves de Almeida, Jeff W. Atkins, Adrian Cardil, Eric Rowell, Russ Parsons, Nuria Sánchez-López, Susan J. Prichard, Andrew T. Hudak
Publikováno v:
Remote Sensing, Vol 15, Iss 4, p 1002 (2023)
Airborne Laser Scanners (ALS) and Terrestrial Laser Scanners (TLS) are two lidar systems frequently used for remote sensing forested ecosystems. The aim of this study was to compare crown metrics derived from TLS, ALS, and a combination of both for d
Externí odkaz:
https://doaj.org/article/b920732fb0124184a80f3274cb8237c4
Autor:
Ana Paula Dalla Corte, Bruna Nascimento de Vasconcellos, Franciel Eduardo Rex, Carlos Roberto Sanquetta, Midhun Mohan, Carlos Alberto Silva, Carine Klauberg, Danilo Roberti Alves de Almeida, Angelica Maria Almeyda Zambrano, Jonathan William Trautenmüller, Rodrigo Vieira Leite, Cibele Hummel do Amaral, Hudson Franklin Pessoa Veras, Karla da Silva Rocha, Anibal de Moraes, Mauro Alessandro Karasinski, Matheus Niroh Inoue Sanquetta, Eben North Broadbent
Publikováno v:
Land, Vol 11, Iss 4, p 507 (2022)
Individual tree attributes, such as stem volume and biomass, are usually predicted by using traditional field-derived allometric models. However, these models are derived from data collected from small areas and lack a level of detail of tree compone
Externí odkaz:
https://doaj.org/article/afa092b4f47d4516bff1c6e85aaf94be
Autor:
Ana Paula Dalla Corte, Ernandes M. da Cunha Neto, Franciel Eduardo Rex, Deivison Souza, Alexandre Behling, Midhun Mohan, Mateus Niroh Inoue Sanquetta, Carlos Alberto Silva, Carine Klauberg, Carlos Roberto Sanquetta, Hudson Franklin Pessoa Veras, Danilo Roberti Alves de Almeida, Gabriel Prata, Angelica Maria Almeyda Zambrano, Jonathan William Trautenmüller, Anibal de Moraes, Mauro Alessandro Karasinski, Eben North Broadbent
Publikováno v:
Drones, Vol 6, Iss 2, p 48 (2022)
Lidar point clouds have been frequently used in forest inventories. The higher point density has provided better representation of trees in forest plantations. So we developed a new approach to fill this gap in the integrated crop-livestock-forest sy
Externí odkaz:
https://doaj.org/article/8a622deaa03d4fba9376b6790a2602df
Autor:
Jaz Stoddart, Danilo Roberti Alves de Almeida, Carlos Alberto Silva, Eric Bastos Görgens, Michael Keller, Ruben Valbuena
Publikováno v:
Remote Sensing, Vol 14, Iss 4, p 933 (2022)
Current LiDAR-based methods for detecting forest change use a host of statistically selected variables which typically lack a biological link with the characteristics of the ecosystem. Consensus of the literature indicates that many authors use LiDAR
Externí odkaz:
https://doaj.org/article/275bdf26e21c4c88abc3be20827c4221
Autor:
Cristiano Rodrigues Reis, Eric Bastos Gorgens, Danilo Roberti Alves de Almeida, Carlos Henrique Souza Celes, Jacqueline Rosette, Adriano Lima, Niro Higuchi, Jean Ometto, Reynaldo Campos Santana, Luiz Carlos Estraviz Rodriguez
Publikováno v:
Forests, Vol 12, Iss 12, p 1724 (2021)
(1) Background: Forests throughout the world are managed to fulfil a range of commercial and ecosystem services. The same applies to managed areas of the Amazon forest. We explore a method of sustainable forest management (SFM) which anticipates the
Externí odkaz:
https://doaj.org/article/e9d471312c5241069854c1ceb5d608a3
Autor:
Gabriel Atticciati Prata, Eben North Broadbent, Danilo Roberti Alves de Almeida, Joseph St. Peter, Jason Drake, Paul Medley, Ana Paula Dalla Corte, Jason Vogel, Ajay Sharma, Carlos Alberto Silva, Angelica Maria Almeyda Zambrano, Ruben Valbuena, Ben Wilkinson
Publikováno v:
Remote Sensing, Vol 12, Iss 24, p 4111 (2020)
Unmanned aerial vehicles (UAV) allow efficient acquisition of forest data at very high resolution at relatively low cost, making it useful for multi-temporal assessment of detailed tree crowns and forest structure. Single-pass flight plans provide ra
Externí odkaz:
https://doaj.org/article/08503e133a214037beaaeb99ad361d25
Autor:
Rodrigo Vieira Leite, Carlos Alberto Silva, Midhun Mohan, Adrián Cardil, Danilo Roberti Alves de Almeida, Samuel de Pádua Chaves e Carvalho, Wan Shafrina Wan Mohd Jaafar, Juan Guerra-Hernández, Aaron Weiskittel, Andrew T. Hudak, Eben N. Broadbent, Gabriel Prata, Ruben Valbuena, Hélio Garcia Leite, Mariana Futia Taquetti, Alvaro Augusto Vieira Soares, Henrique Ferraço Scolforo, Cibele Hummel do Amaral, Ana Paula Dalla Corte, Carine Klauberg
Publikováno v:
Remote Sensing, Vol 12, Iss 21, p 3599 (2020)
Fast-growing Eucalyptus spp. forest plantations and their resultant wood products are economically important and may provide a low-cost means to sequester carbon for greenhouse gas reduction. The development of advanced and optimized frameworks for e
Externí odkaz:
https://doaj.org/article/a4f5228e9e4341fa916ae59aa763d2af
Autor:
Franciel Eduardo Rex, Carlos Alberto Silva, Ana Paula Dalla Corte, Carine Klauberg, Midhun Mohan, Adrián Cardil, Vanessa Sousa da Silva, Danilo Roberti Alves de Almeida, Mariano Garcia, Eben North Broadbent, Ruben Valbuena, Jaz Stoddart, Trina Merrick, Andrew Thomas Hudak
Publikováno v:
Remote Sensing, Vol 12, Iss 9, p 1498 (2020)
Accurately quantifying forest aboveground biomass (AGB) is one of the most significant challenges in remote sensing, and is critical for understanding global carbon sequestration. Here, we evaluate the effectiveness of airborne LiDAR (Light Detection
Externí odkaz:
https://doaj.org/article/423aa9411fbe4d62a336bd70bf0dbbec
Autor:
Vanessa Sousa da Silva, Carlos Alberto Silva, Midhun Mohan, Adrián Cardil, Franciel Eduardo Rex, Gabrielle Hambrecht Loureiro, Danilo Roberti Alves de Almeida, Eben North Broadbent, Eric Bastos Gorgens, Ana Paula Dalla Corte, Emanuel Araújo Silva, Rubén Valbuena, Carine Klauberg
Publikováno v:
Remote Sensing, Vol 12, Iss 9, p 1438 (2020)
Light Detection and Ranging (LiDAR) remote sensing has been established as one of the most promising tools for large-scale forest monitoring and mapping. Continuous advances in computational techniques, such as machine learning algorithms, have been
Externí odkaz:
https://doaj.org/article/444f58722cfa455cad9e3b613b91aa4e