Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Daniel de Almeida Papa"'
Autor:
Hudson Franklin Pessoa Veras, Ernandes Macedo da Cunha Neto, Iací Dandara Santos Brasil, João Paulo Sardo Madi, Emmanoella Costa Guaraná Araujo, Jorge Danilo Zea Camaño, Evandro Orfanó Figueiredo, Daniel de Almeida Papa, Matheus Pinheiro Ferreira, Ana Paula Dalla Corte, Carlos Roberto Sanquetta
Publikováno v:
Scientific Electronic Archives, Vol 16, Iss 7 (2023)
The use of remote sensing images obtained by unmanned aerial vehicle (UAV) systems enables measuring the morphometry of the tree canopy to estimate the volume stock in the Amazon Forest. In this study, we used RGB images from a low-cost UAV to map tr
Externí odkaz:
https://doaj.org/article/1b91d900196947bea68325a95cb96dc2
Autor:
Evandro Orfanó Figueiredo, Marcus Vinicio Neves d´Oliveira, Philip Martin Fearnside, Evaldo Muñoz Braz, Daniel de Almeida Papa
Publikováno v:
Revista Árvore, Vol 41, Iss 3 (2018)
ABSTRACT The precision forest management technique still has much to be improved with the incorporation of forest biometric techniques and forest profiling with airborne LIDAR. When planning the cutting of a tree in forest management, the volume to b
Externí odkaz:
https://doaj.org/article/bc8a9333da224a5e80e5aaa411b5b970
Autor:
Danilo Roberti Alves de Almeida, Scott C. Stark, Gang Shao, Juliana Schietti, Bruce Walker Nelson, Carlos Alberto Silva, Eric Bastos Gorgens, Ruben Valbuena, Daniel de Almeida Papa, Pedro Henrique Santin Brancalion
Publikováno v:
Remote Sensing, Vol 11, Iss 1, p 92 (2019)
Airborne Laser Scanning (ALS) has been considered as a primary source to model the structure and function of a forest canopy through the indicators leaf area index (LAI) and vertical canopy profiles of leaf area density (LAD). However, little is know
Externí odkaz:
https://doaj.org/article/53c7836628a540f5a5443fee3cc8bc0d
Autor:
Paula Meli, Carlos A. Silva, Matthew E. Fagan, Robin L. Chazdon, Benjamin E. Wilkinson, Angelica M. Almeyda Zambrano, Paul Foster, Daniel de Almeida Papa, Eben N. Broadbent, Danilo Roberti Alves de Almeida, Amanda L. Wendt, Eric Bastos Gorgens, Ruben Valbuena, Scott C. Stark, Pedro H. S. Brancalion, Carl Salk
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Universidade de São Paulo (USP)
instacron:USP
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Drone-based remote sensing is a promising new technology that combines the benefits of ground-based and satellite-derived forest monitoring by collecting fine-scale data over relatively large areas in a cost-effective manner. Here, we explore the pot
Autor:
Juliano Baldez Silva Minervino, Evandro Orfanó Figueiredo, Evandro José Linhares Ferreira, Hudson Franklin Pessoa Veras, Matheus Pinheiro Ferreira, Daniel de Almeida Papa, Danilo Roberti Alves de Almeida, Caio Alexandre Nascimento Santos, Arthur Formighieri, Marcio Aurélio Dantas Ferreira
Publikováno v:
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Information regarding the spatial distribution of palm trees in tropical forests is crucial for commercial exploitation and management. However, spatially continuous knowledge of palms occurrence is scarce and difficult to obtain with conventional ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99a7b3d4ace06d177aac868e5b5f50c7
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1124129
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1124129
Autor:
Benjamin E. Wilkinson, Manuel Eduardo Ferreira, Marcelo Oliveira-da-Costa, Leomar Rufino Alves Júnior, Felipe Spina Avino, Luís Cláudio de Oliveira, Gabriel Atticciati Prata, Ricardo A. Mello, Daniel de Almeida Papa, Evandro Orfanó Figueiredo, Danilo Roberti Alves de Almeida, Carlos A. Silva, Lúcio André de Castro Jorge, Marcus Vinicio Neves d'Oliveira, Pedro H. S. Brancalion, Rafael Walter Albuquerque, Eben N. Broadbent, Angelica M. Almeyda Zambrano
Publikováno v:
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Remote Sensing; Volume 12; Issue 11; Pages: 1754
Remote Sensing, Vol 12, Iss 1754, p 1754 (2020)
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Remote Sensing; Volume 12; Issue 11; Pages: 1754
Remote Sensing, Vol 12, Iss 1754, p 1754 (2020)
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Tropical forests are often located in dicult-to-access areas, which make high-quality forest structure information dicult and expensive to obtain by traditional field-based approaches. LiDAR (acronym for Light Detection And Ranging) data have been us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d12975113e1a8db3df51044bdcad9180
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1122818
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1122818
Autor:
Robin L. Chazdon, Benjamin E. Wilkinson, Danilo Roberti Alves de Almeida, Paula Meli, Angelica M. Almeyda Zambrano, Eric Bastos Gorgens, Daniel de Almeida Papa, Scott C. Stark, Ruben Valbuena, Eben N. Broadbent, Pedro H. S. Brancalion, Manuel Eduardo Ferreira, Carlos A. Silva
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
We are in an unprecedented moment for promoting forest restoration globally, with international and regional pledges to restore at least 350 million hectares by 2030. To achieve these ambitious goals, it is necessary to go beyond traditional plot-sca
Autor:
Carlos A. Silva, Adrián Cardil, Carine Klauberg, Eben N. Broadbent, Midhun Mohan, Daniel de Almeida Papa, E. R. Pinagé, Danilo Roberti Alves de Almeida, Ruben Valbuena, Wan Shafrina Wan Mohd Jaafar
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Autor:
Marcus Vinicio Neves d'Oliveira, Evandro Orfanó Figueiredo, Renato Mesquita da Cunha, Carlos A. Silva, Danilo Roberti Alves de Almeida, Bruce Walker Nelson, Luís Cláudio de Oliveira, Daniel de Almeida Papa, Ruben Valbuena, Scott C. Stark
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Sustainable forest management relies on good knowledge of forest structure obtained from ground surveys combined with remote sensing. Capable of detecting both the forest floor and canopy elements, airborne LiDAR can estimate forest structure paramet
Autor:
Bruce Walker Nelson, Eric Bastos Gorgens, Eben N. Broadbent, Matheus Pinheiro Ferreira, João P. Romanelli, Carlos A. Silva, Danilo Roberti Alves de Almeida, Ruben Valbuena, Paula Meli, Catherine Torres de Almeida, Jean-Baptiste Féret, Gabriel Atticciati Prata, Robin L. Chazdon, Joannès Guillemot, Ana Paula Dalla Corte, Cibele Hummel do Amaral, Daniel de Almeida Papa, Scott C. Stark, Angelica M. Almeyda Zambrano, Pedro H. S. Brancalion, Angélica Faria de Resende
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Remote Sensing of Environment
Remote Sensing of Environment, Elsevier, 2021, 264, pp.112582. ⟨10.1016/j.rse.2021.112582⟩
Universidade de São Paulo (USP)
instacron:USP
Remote Sensing of Environment
Remote Sensing of Environment, Elsevier, 2021, 264, pp.112582. ⟨10.1016/j.rse.2021.112582⟩
International audience; Remote sensors, onboard orbital platforms, aircraft, or unmanned aerial vehicles (UAVs) have emerged as a promising technology to enhance our understanding of changes in ecosystem composition, structure, and function of forest