Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Thiago S. F. Silva"'
Autor:
Ewerton Silva, Ricardo da S. Torres, Bruna Alberton, Leonor Patricia C. Morellato, Thiago S. F. Silva
Publikováno v:
Remote Sensing, Vol 12, Iss 9, p 1409 (2020)
One of the challenges in remote phenology studies lies in how to efficiently manage large volumes of data obtained as long-term sequences of high-resolution images. A promising approach is known as image foveation, which is able to reduce the computa
Externí odkaz:
https://doaj.org/article/3aaee379bcd84dcab417e6c6b7d9bba6
Autor:
Emma R. Bush, Edward T. A. Mitchard, Thiago S. F. Silva, Edmond Dimoto, Pacôme Dimbonda, Loïc Makaga, Katharine Abernethy
Publikováno v:
Remote Sensing, Vol 12, Iss 3, p 429 (2020)
Spatial and temporal patterns of tropical leaf renewal are poorly understood and poorly parameterized in modern Earth System Models due to lack of data. Remote sensing has great potential for sampling leaf phenology across tropical landscapes but unt
Externí odkaz:
https://doaj.org/article/9a1bc5da7517404f898f49da9577ae3c
Publikováno v:
Remote Sensing, Vol 11, Iss 15, p 1746 (2019)
Solar-induced fluorescence (SIF) has been empirically linked to gross primary productivity (GPP) in multiple ecosystems and is thus a promising tool to address the current uncertainties in carbon fluxes at ecosystem to continental scales. However, st
Externí odkaz:
https://doaj.org/article/7b005c3e0c9c4915ac645ac25b35cec6
Autor:
Letícia D. M. Fonseca, Ricardo Dalagnol, Yadvinder Malhi, Sami W. Rifai, Gabriel B. Costa, Thiago S. F. Silva, Humberto R. Da Rocha, Iane B. Tavares, Laura S. Borma
Publikováno v:
Remote Sensing, Vol 11, Iss 13, p 1530 (2019)
Several studies have explored the linkages between phenology and ecosystem productivity across the Amazon basin. However, few studies have focused on flooded forests, which correspond to c.a. 14% of the basin. In this study, we assessed the seasonali
Externí odkaz:
https://doaj.org/article/d3445478f74446a992fa19a80743e0f2
Autor:
Luciana O. Pereira, Luiz F. A. Furtado, Evlyn M. L. M. Novo, Sidnei J. S. Sant’Anna, Veraldo Liesenberg, Thiago S. F. Silva
Publikováno v:
Remote Sensing, Vol 10, Iss 9, p 1355 (2018)
The aim of this study is to evaluate the potential of multifrequency and Full-polarimetric Synthetic Aperture Radar (SAR) data for retrieving both Above Ground Biomass (AGB) and Leaf Area Index (LAI) in the Amazon floodplain forest environment. Two s
Externí odkaz:
https://doaj.org/article/9c01ac9191f44e1f942d30d4e4b6ea24
Autor:
Angelo F, Bernardino, Ana Carolina A, Mazzuco, Fernanda M, Souza, Thuareag M T, Santos, Christian J, Sanders, Carlos G, Massone, Rodolfo F, Costa, Antônio Elves B, Silva, Tiago O, Ferreira, Gabriel N, Nóbrega, Thiago S F, Silva, J Boone, Kauffman
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
Both freshwater floodplain (várzeas and igapós) forests and brackish-saline mangroves are abundant and well-described ecosystems in Brazil.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c25f17947cdf41c5d82a9bcaa3b9653