Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Alber Sanchez"'
Autor:
Guilherme Mataveli, Gabriel Pereira, Alber Sanchez, Gabriel de Oliveira, Matthew W. Jones, Saulo R. Freitas, Luiz E. O. C. Aragão
Publikováno v:
Fire, Vol 6, Iss 11, p 426 (2023)
Biomass burning (BB) emissions negatively impact the biosphere and human lives. Orbital remote sensing and modelling are used to estimate BB emissions on regional to global scales, but these estimates are subject to errors related to the parameters,
Externí odkaz:
https://doaj.org/article/75d58d6f4c6941c89d3b6754301afe71
Autor:
Fabien H. Wagner, Alber Sanchez, Yuliya Tarabalka, Rodolfo G. Lotte, Matheus P. Ferreira, Marcos P. M. Aidar, Emanuel Gloor, Oliver L. Phillips, Luiz E. O. C. Aragão
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 5, Iss 4, Pp 360-375 (2019)
Abstract Mapping forest types and tree species at regional scales to provide information for ecologists and forest managers is a new challenge for the remote sensing community. Here, we assess the potential of a U‐net convolutional network, a recen
Externí odkaz:
https://doaj.org/article/687bf095f9e74e72a6ad4e0e2c69f23c
Autor:
Fabien H Wagner, Alber Sanchez, Marcos P M Aidar, André L C Rochelle, Yuliya Tarabalka, Marisa G Fonseca, Oliver L Phillips, Emanuel Gloor, Luiz E O C Aragão
Publikováno v:
PLoS ONE, Vol 15, Iss 2, p e0229448 (2020)
The Atlantic rainforest of Brazil is one of the global terrestrial hotspots of biodiversity. Despite having undergone large scale deforestation, forest cover has shown signs of increases in the last decades. Here, to understand the degradation and re
Externí odkaz:
https://doaj.org/article/b4280604e9e2480287484aa61f197d74
Autor:
Fabien Hubert Wagner, Bruno Hérault, Vivien Rossi, Thomas Hilker, Eduardo Eiji Maeda, Alber Sanchez, Alexei I Lyapustin, Lênio Soares Galvão, Yujie Wang, Luiz E O C Aragão
Publikováno v:
PLoS ONE, Vol 12, Iss 7, p e0180932 (2017)
Our limited understanding of the climate controls on tropical forest seasonality is one of the biggest sources of uncertainty in modeling climate change impacts on terrestrial ecosystems. Combining leaf production, litterfall and climate observations
Externí odkaz:
https://doaj.org/article/7f54d5da3a534668b913af6e8ed2c06f
Autor:
Graciela Tejada, Sergio Machado Corrêa, Luana S. Basso, Liana Oighstein Anderson, Luciana V. Gatti, Stephane P. Crispim, John B. Miller, Raiane A.L. Neves, Luciano Marani, Lucas G. Domingues, Egidio Arai, Manuel Gloor, Alber Sanchez, Henrique Luis Godinho Cassol, Caio S. C. Correia, John M. Melack, Luiz E. O. C. Aragão
Publikováno v:
Communications Earth & Environment, Vol 2, Iss 1, Pp 1-13 (2021)
Atmospheric methane concentrations were nearly constant between 1999 and 2006, but have been rising since by an average of ~8 ppb per year. Increases in wetland emissions, the largest natural global methane source, may be partly responsible for this
Autor:
Luciana Gatti, Camilla Cunha, Luciano Marani, Henrique Cassol, Cassiano Messias, Egidio Arai, Luana Basso, Luciana Soler, Claudio Almeida, Alberto Setzer, Lucas Domingues, Scott Denning, John Miller, Manuel Gloor, Caio Correia, Graciela Tejada, Raiane Neves, Raoni Rajão, Felipe Nunes, Britaldo Soares-Filho, Jair Schmitt, Carlos Nobre, Sergio Correa, Alber Sanchez, Luiz Aragão, Liana Anderson, Celso von Randow, Stephane Crispim, Francine Silva, Guilherme Machado
The Amazon Forest is a major locus for carbon and water cycling in the climate system whose function has been degraded in recent decades by land use and climate change. Most studies of Amazonia’s carbon balance have been limited by sparse sampling.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f80a0956edc0f596a0abb4ba40cb67a
https://doi.org/10.21203/rs.3.rs-2023624/v1
https://doi.org/10.21203/rs.3.rs-2023624/v1
The impact of natural hazards on nations and societies is a global challenge and concern. Studies worldwide have been conducted within and among countries, to examine the spatial distribution and temporal evolution of fatalities and their consequence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4be2e545e69539f15c9f7c835afcbdcd
https://doi.org/10.21203/rs.3.rs-1609882/v1
https://doi.org/10.21203/rs.3.rs-1609882/v1
Autor:
Sarah Lechler, Michelle Cristina Araujo Picoli, Michel Eustáquio Dantas Chaves, Judith A. Verstegen, Alber Sanchez, Anderson R. Soares
Publikováno v:
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences-ISPRS Archives, 43(B3), 705-711
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences-ISPRS Archives 43 (2020) B3
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2020, Pp 705-711 (2020)
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences-ISPRS Archives 43 (2020) B3
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2020, Pp 705-711 (2020)
Deforestation is a threat to biodiversity and the world’s climate. As agriculture and mining areas grow, forest loss becomes unbearable for the environment. Consequently, monitoring deforestation is crucial for decision makers to create polices. Th
Autor:
Lorena A. Santos, Rolf Simoes, Anderson R. Soares, Gilberto Ribeiro de Queiroz, Ieda Del’Arco Sanches, Michelle Cristina Araujo Picoli, Karine Reis Ferreira, Alber Sanchez, Michel Eustáquio Dantas Chaves
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-3-2020, Pp 533-539 (2020)
Currently, the overwhelming amount of Earth Observation data demands new solutions regarding processing and storage. To reduce the amount of time spent in searching, downloading and pre-processing data, the remote Sensing community is coming to an ag
Autor:
Pedro R. Andrade, Lorena A. Santos, Karine Reis Ferreira, Adeline Maciel, Rolf Simoes, Alber Sanchez, Alexandre Xavier Ywata de Carvalho, Michelle Cristina Araujo Picoli, Gilberto Camara
Publikováno v:
Scientific Data, Vol 7, Iss 1, Pp 1-10 (2020)
Scientific Data
Scientific Data
This paper presents a dataset of yearly land use and land cover classification maps for Mato Grosso State, Brazil, from 2001 to 2017. Mato Grosso is one of the world’s fast moving agricultural frontiers. To ensure multi-year compatibility, the work