Cibele Hummel do Amaral

According to our database, Cibele Hummel do Amaral authored at least 9 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Integrating Spaceborne Lidar Nasa's Gedi With Imaging Sensors To Map Aboveground Biomass In Fragmented Tropical Forests.

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

A Machine Learning approach to reconstruct cloudy affected vegetation indices imagery via data fusion from Sentinel-1 and Landsat 8.

Erli Pinto dos Santos, Demetrius David da Silva, Cibele Hummel do Amaral, Elpídio Inácio Fernandes Filho, Rafael Luís Silva Dias

Comput. Electron. Agric., 2022

2021

Machine learning models applied to TSS estimation in a reservoir using multispectral sensor onboard to RPA.

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

Ecol. Informatics, 2021

2020

Individual Tree Attribute Estimation and Uniformity Assessment in Fast-Growing Eucalyptus spp. Forest Plantations Using Lidar and Linear Mixed-Effects Models.

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

Remote. Sens., 2020

Estimating Stem Volume in Eucalyptus Plantations Using Airborne LiDAR: A Comparison of Area- and Individual Tree-Based Approaches.

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

Remote. Sens., 2020

Artificial neural networks on integrated multispectral and SAR data for high-performance prediction of eucalyptus biomass.

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

Comput. Electron. Agric., 2020

Does environmental data increase the accuracy of land use and land cover classification?

Leiliane Bozzi Zeferino, Ligia Faria Tavares de Souza, Cibele Hummel do Amaral, Elpídio Inácio Fernandes Filho, Teogenes Senna de Oliveira

Int. J. Appl. Earth Obs. Geoinformation, 2020

2017

Vegetation chlorophyll estimates in the Amazon from multi-angle MODIS observations and canopy reflectance model.

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

Int. J. Appl. Earth Obs. Geoinformation, 2017

2012

Correlation between the variations of clay content in soils and sediments and the spectral behavior of superjacent vegetation using spectir hyperspectral images.

Cibele Hummel do Amaral, Teodoro Isnard Ribeiro de Almeida, Carlos Roberto de Souza Filho, Moreno Botelho, Marcos Nopper Alves, Natasha Costa Penatti

Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing, 2012