Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Danilo R. A. Almeida"'
Autor:
Ruben Valbuena, Ana Hernando, Jose Antonio Manzanera, Eric B. Görgens, Danilo R. A. Almeida, Carlos A. Silva, Antonio García-Abril
Publikováno v:
European Journal of Remote Sensing, Vol 52, Iss 1, Pp 345-358 (2019)
The accurate prediction of forest above-ground biomass is nowadays key to implementing climate change mitigation policies, such as reducing emissions from deforestation and forest degradation. In this context, the coefficient of determination ($${R^2
Externí odkaz:
https://doaj.org/article/dc74c5ff351d415aaa265defa83f632b
Publikováno v:
Remote Sensing, Vol 12, Iss 21, p 3554 (2020)
Tree and plant structures remaining after fires reflect well their degree of consumption, and are therefore good indicators of fire severity. Satellite optical images are commonly used to estimate fire severity. However, depending on the severity of
Externí odkaz:
https://doaj.org/article/71a1dfe023a84982afd6d9c33e0f74c6
Autor:
Marcus V. N. d’Oliveira, Eben N. Broadbent, Luis C. Oliveira, Danilo R. A. Almeida, Daniel A. Papa, Manuel E. Ferreira, Angelica M. Almeyda Zambrano, Carlos A. Silva, Felipe S. Avino, Gabriel A. Prata, Ricardo A. Mello, Evandro O. Figueiredo, Lúcio A. de Castro Jorge, Leomar Junior, Rafael W. Albuquerque, Pedro H. S. Brancalion, Ben Wilkinson, Marcelo Oliveira-da-Costa
Publikováno v:
Remote Sensing, Vol 12, Iss 11, p 1754 (2020)
Tropical forests are often located in difficult-to-access areas, which make high-quality forest structure information difficult and expensive to obtain by traditional field-based approaches. LiDAR (acronym for Light Detection And Ranging) data have b
Externí odkaz:
https://doaj.org/article/bc8b69f6001a4e49a3e4ca26d5c656b5
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
