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Cibele Hummel do Amaral
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2020 – today
- 2023
- [c2]Rodrigo Vieira Leite, Carlos Alberto Silva
, Cibele Hummel do Amaral, Diogo Nepomuceno Cosenza, Monique Bohora Schlickmann, Kleydson Diego Rocha, Jinyi Xia, Midhun Mohan, Esmaeel Adrah
, Danilo Roberti Alves de Almeida, Christopher S. R. Neigh
:
Integrating Spaceborne Lidar Nasa's Gedi With Imaging Sensors To Map Aboveground Biomass In Fragmented Tropical Forests. IGARSS 2023: 1887-1889 - 2022
- [j7]Erli Pinto dos Santos
, Demetrius David da Silva, Cibele Hummel do Amaral, Elpídio Inácio Fernandes Filho, Rafael Luís Silva Dias:
A Machine Learning approach to reconstruct cloudy affected vegetation indices imagery via data fusion from Sentinel-1 and Landsat 8. Comput. Electron. Agric. 194: 106753 (2022) - 2021
- [j6]Rafael Luís Silva Dias, Demetrius David da Silva, Elpídio Inácio Fernandes Filho, Cibele Hummel do Amaral, Erli Pinto dos Santos
, Juliana Fazolo Marques, Gustavo Vieira Veloso
:
Machine learning models applied to TSS estimation in a reservoir using multispectral sensor onboard to RPA. Ecol. Informatics 65: 101414 (2021) - 2020
- [j5]Leiliane Bozzi Zeferino, Ligia Faria Tavares de Souza, Cibele Hummel do Amaral, Elpídio Inácio Fernandes Filho, Teogenes Senna de Oliveira:
Does environmental data increase the accuracy of land use and land cover classification? Int. J. Appl. Earth Obs. Geoinformation 91: 102128 (2020) - [j4]Getulio Fonseca Domingues, Vicente Paulo Soares, Helio Garcia Leite, Antônio Santana Ferraz, Carlos Antonio Alvares Soares Ribeiro
, Alexandre Simões Lorenzon
, Gustavo Eduardo Marcatti, Thaisa Ribeiro Teixeira, Nero Lemos Martins de Castro, Pedro Henrique Santos Mota, Guilherme Silverio Aquino de Souza, Sady Júnior Martins da Costa de Menezes
, Alexandre Rosa dos Santos
, Cibele Hummel do Amaral:
Artificial neural networks on integrated multispectral and SAR data for high-performance prediction of eucalyptus biomass. Comput. Electron. Agric. 168 (2020) - [j3]Rodrigo Vieira Leite
, Cibele Hummel do Amaral
, Raul de Paula Pires
, Carlos Alberto Silva
, Carlos Pedro Boechat Soares
, Renata Paulo Macedo, Antonilmar Araújo Lopes da Silva, Eben North Broadbent, Midhun Mohan, Helio Garcia Leite:
Estimating Stem Volume in Eucalyptus Plantations Using Airborne LiDAR: A Comparison of Area- and Individual Tree-Based Approaches. Remote. Sens. 12(9): 1513 (2020) - [j2]Rodrigo Vieira Leite
, Carlos Alberto Silva
, Midhun Mohan
, Adrián Cardil
, Danilo Roberti Alves de Almeida
, Samuel de Padua Chaves e Carvalho, Wan Shafrina Wan Mohd Jaafar
, Juan Guerra-Hernández
, Aaron Weiskittel
, Andrew T. Hudak
, Eben North Broadbent, Gabriel Atticciati Prata
, Ruben Valbuena
, Helio Garcia Leite, Mariana Futia Taquetti, Alvaro Augusto Vieira Soares
, Henrique Ferraço Scolforo, Cibele Hummel do Amaral
, Ana Paula Dalla Corte
, Carine Klauberg
:
Individual Tree Attribute Estimation and Uniformity Assessment in Fast-Growing Eucalyptus spp. Forest Plantations Using Lidar and Linear Mixed-Effects Models. Remote. Sens. 12(21): 3599 (2020)
2010 – 2019
- 2017
- [j1]Thomas Hilker, Lênio Soares Galvão, Luiz Eduardo Oliveira e Cruz de Aragão, Yhasmin Mendes de Moura, Cibele Hummel do Amaral, Alexei I. Lyapustin
, Jin Wu
, Albert Porcar-Castell, Marciel José Ferreira
, Liana O. Anderson, Victor A. H. F. dos Santos, Neill Prohaska, Edgard Tribuzy
, João Vitor Barbosa Ceron, Scott Saleska
, Yujie Wang, José Francisco de Carvalho Gonçalves, Raimundo Cosme de Oliveira Junior, João Victor Figueiredo Cardoso Rodrigues, Maquelle Neves Garcia:
Vegetation chlorophyll estimates in the Amazon from multi-angle MODIS observations and canopy reflectance model. Int. J. Appl. Earth Obs. Geoinformation 58: 278-287 (2017) - 2012
- [c1]Cibele Hummel do Amaral, Teodoro Isnard Ribeiro de Almeida, Carlos Roberto de Souza Filho
, Moreno Botelho, Marcos Nopper Alves
, Natasha Costa Penatti:
Correlation between the variations of clay content in soils and sediments and the spectral behavior of superjacent vegetation using spectir hyperspectral images. WHISPERS 2012: 1-4
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last updated on 2024-08-08 20:17 CEST by the dblp team
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