Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Fabien Hubert Wagner"'
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:
Ricardo Dalagnol, Lênio Soares Galvão, Fabien Hubert Wagner, Yhasmin Mendes de Moura, Nathan Gonçalves, Yujie Wang, Alexei Lyapustin, Yan Yang, Sassan Saatchi, Luiz Eduardo Oliveira Cruz Aragão
Publikováno v:
Earth System Science Data. 15:345-358
The AnisoVeg product consists of monthly 1 km composites of anisotropy (ANI) and nadir-normalized (NAD) surface reflectance layers obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor over the entire South American continent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69ee6d4139267679e49b201b5ff56dfa
https://doi.org/10.5194/essd-15-345-2023
https://doi.org/10.5194/essd-15-345-2023
Autor:
Peter Joyce, Cristina Ruiz Villena, Yahui Huang, Alex Webb, Manuel Gloor, Fabien Hubert Wagner, Martyn P. Chipperfield, Rocío Barrio Guilló, Chris Wilson, Hartmut Boesch
Publikováno v:
eISSN
Anthropogenic emissions of methane (CH4) have made a considerable contribution towards the Earth's changing radiative budget since pre-industrial times. This is because large amounts of methane are emitted from human activities, and the global warmin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf7a4eca802cbcaa9b36966f7ace59ee
https://amt.copernicus.org/articles/16/2627/2023/
https://amt.copernicus.org/articles/16/2627/2023/
Autor:
Peter Joyce, Cristina Ruiz Villena, Yahui Huang, Alex Webb, Manuel Gloor, Fabien Hubert Wagner, Martyn P. Chipperfield, Rocío Barrio Guilló, Chris Wilson, Hartmut Boesch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50763ec8a0105b4b0f2e4db81aa34a18
https://doi.org/10.5194/egusphere-2022-924-supplement
https://doi.org/10.5194/egusphere-2022-924-supplement
Autor:
Ricardo Dalagnol, Lênio Soares Galvão, Fabien Hubert Wagner, Yhasmin Mendes Moura, Nathan Gonçalves, Yujie Wang, Alexei Lyapustin, Yan Yang, Sassan Saatchi, Luiz Eduardo Oliveira Cruz Aragão
The AnisoVeg product consists of monthly 1-km composites of anisotropy (ANI) and nadir-normalized (NAD) surface reflectance layers obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor over the entire South America. The satel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d43a6ecb41c1fde2fe55d15de490d0f0
https://essd.copernicus.org/preprints/essd-2022-166/
https://essd.copernicus.org/preprints/essd-2022-166/
Autor:
Fabien Hubert Wagner
This model package contains the R codefor Windows and the training dataset of the Super-Resolution modeldescribedin the article «INCREASING LANDSAT 5 TM SPATIAL RESOLUTION TO 15 M USING A SUPER-RESOLUTION DEEP LEARNING MODEL TRAINED WITH PAN-SHARPEN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03ddd75fb4fbcaa106e3fa591276cb10
Autor:
Fabien Hubert Wagner
This model package contains the R codes for Windows of the instance segmentation algorithm called U-net-id describedin the article «U-Net-Id, an Instance Segmentation Model for Building Extraction from Satellite Images - Case Study in the Joanópoli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0217e052ab6492b1583aff62677ba61b
Autor:
Ricardo Dalagnol, Fabien Hubert Wagner, Lênio Soares Galvão, Bruce Walker Nelson, Luiz Eduardo Oliveira e Cruz de Aragão
Bamboo-dominated forests comprise 1 % of the world’s forests. In southwest Amazon, a prior investigation mapped 16.15 million ha of bamboo-dominated forests by visual interpretation of Landsat and MODIS satellite images. They observed that the near
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d069a3547ac97dc513ab056ea869e2de
https://doi.org/10.5194/bg-2018-207
https://doi.org/10.5194/bg-2018-207