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 (WHISPERS, 2012)

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 003; Albert Porcar-Castell; Marciel José Ferreira; Liana O. Anderson; Victor A. H. F. dos Santos; Neill Prohaska; et al. (Int. J. Appl. Earth Obs. Geoinformation, 2017)

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)

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; et al. (Comput. Electron. Agric., 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)

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; et al. (Remote. Sens., 2020)

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)

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)

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 (IGARSS, 2023)

Spaceborne Lidar and Stereogrammetry Data Fusion to Predict Aboveground Biomass in Tropical Forests. - Rodrigo Vieira Leite; William C. Wagner; Margaret Wooten; Monique Bohora Schlickmann; Carlos Alberto Silva; Cibele Hummel do Amaral; Diogo Nepomuceno Cosenza; Carlos M. M. E. Torres; Ameni Mkaouar; Shashank Bhushan; David E. Shean; Paul M. Montesano; et al. (IGARSS, 2024)