Using a Multistructural Object-Based LiDAR Approach to Estimate Vascular Plant Richness in Mediterranean Forests With Complex Structure. - Javier Lopatin; Mauricio Galleguillos; Fabian Ewald Fassnacht; Andrés Ceballos; Jaime Hernández (IEEE Geosci. Remote. Sens. Lett., 2015)

Linking plant strategies (CSR) and remotely sensed plant traits. - Teja Kattenborn; Javier Lopatin; Fabian Faßnacht; Sebastian Schmidtlein (WHISPERS, 2016)

Predicting Vascular Plant Diversity in Anthropogenic Peatlands: Comparison of Modeling Methods with Free Satellite Data. - Ivan Castillo-Riffart; Mauricio Galleguillos; Javier Lopatin; Jorge F. Perez-Quezada (Remote. Sens., 2017)

Using Sentinel-2 and canopy height models to derive a landscape-level biomass map covering multiple vegetation types. - Fabian Ewald Fassnacht; Javiera Poblete-Olivares; Lucas Rivero; Javier Lopatin; Andrés Ceballos-Comisso; Mauricio Galleguillos (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Hate Speech Recognition in Chilean Tweets. - Alfonso Tobar-Arancibia; Sebastián Moreno; Javier Lopatin (SCCC, 2023)

Estimation of Foliar Carotenoid Content Using Spectroscopy Wavelet-Based Vegetation Indices. - Javier Lopatin (IEEE Geosci. Remote. Sens. Lett., 2023)

Interannual Variability of Remotely Sensed Phenology Relates to Plant Communities. - Javier Lopatin (IEEE Geosci. Remote. Sens. Lett., 2023)

CNN Sensitivity Analysis for Land Cover Map Models Using Sparse and Heterogeneous Satellite Data. - Sebastián Moreno; Javier Lopatin; Diego Corvalán; Alejandra Bravo-Diaz (CIARP (1), 2024)

Evaluating the ability of convolutional neural networks for transfer learning in Pinus radiata cover predictions. - Alejandra Bravo-Diaz; Sebastián Moreno; Javier Lopatin (Ecol. Informatics, 2024)

Convolutional neural network models with low spatial variability hamper the transfer learning process. - Alejandra Bravo-Diaz; Sebastián Moreno; Javier Lopatin (Neural Comput. Appl., 2025)