Publications

Jorge F Perez-Quezada, David Trejo, Javier Lopatin, David Aguilera, Bruce Osborne, Mauricio Galleguillos, Luca Zattera, Juan L Celis-Diez, Juan J Armesto

Biogeosciences, 2024

22. Indicators of ecosystem degradation along an elevational gradient in the Mediterranean Andes

Jorge F Perez-Quezada, Javier Lopatin, Marı́a R Donoso, Cristian Hurtado, Ivan Reyes, Oscar Seguel, Horacio E Bown

Ecol. Indic., 2023

21. Interannual Variability of Remotely Sensed Phenology Relates to Plant Communities

Javier Lopatin

IEEE Geoscience and Remote Sensing Letters, 2023

20. Hate Speech Recognition in Chilean Tweets

Alfonso Tobar-Arancibia, Sebastian Moreno, Javier Lopatin

2023 42nd IEEE International Conference of the Chilean Computer Science Society (SCCC), 2023

19. Estimation of Foliar Carotenoid Content Using Spectroscopy Wavelet-Based Vegetation Indices

Javier Lopatin

IEEE Geoscience and Remote Sensing Letters, 2023

18. Disturbance alters relationships between soil carbon pools and aboveground vegetation attributes in an anthropogenic peatland in Patagonia

Javier Lopatin, Rocı́o Araya-López, Mauricio Galleguillos, Jorge F Perez-Quezada

Ecol. Evol., 2022

17. Surviving in a hostile landscape: Nothofagus alessandrii remnant forests threatened by mega-fires and exotic pine invasion in the coastal range of central Chile

Mauro E González, Mauricio Galleguillos, Javier Lopatin, Claudia Leal, Constanza Becerra-Rodas, Antonio Lara, José San Martı́n

Oryx, 2022

16. 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. Geoinf., 2021

15. Biotic and abiotic drivers of carbon, nitrogen and phosphorus stocks in a temperate rainforest

Jorge F Perez-Quezada, Cecilia A Pérez, Carla E Brito, Juan P Fuentes, Aurora Gaxiola, David Aguilera-Riquelme, Javier Lopatin

For. Ecol. Manage., 2021

14. How canopy shadow affects invasive plant species classification in high spatial resolution remote sensing

Javier Lopatin, Klara Dolos, Teja Kattenborn, Fabian E Fassnacht

Remote Sens. Ecol. Conserv., 2019

13. UAV data as alternative to field sampling to map woody invasive species based on combined Sentinel-1 and Sentinel-2 data

Teja Kattenborn, Javier Lopatin, Michael Förster, Andreas Christian Braun, Fabian Ewald Fassnacht

Remote Sens. Environ., 2019

12. Using aboveground vegetation attributes as proxies for mapping peatland belowground carbon stocks

Javier Lopatin, Teja Kattenborn, Mauricio Galleguillos, Jorge F Perez-Quezada, Sebastian Schmidtlein

Remote Sens. Environ., 2019

11. Unmanned Aerial Vehicles for Vegetation Mapping: Opportunities and Challenges

Javier Lopatin

10. Disentangling effects of climate and land-use change on West African drylands' forage supply

Jessica Ferner, Sebastian Schmidtlein, Reginald T Guuroh, Javier Lopatin, Anja Linstädter

Glob. Environ. Change, 2018

9. Pilot study on the retrieval of DBH and diameter distribution of deciduous forest stands using cast shadows in UAV-based ortomosaics

T Kattenborn, J Lopatin, G Kattenborn, F E Fassnacht

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018

8. Monitoring Andean high altitude wetlands in central Chile with seasonal optical data: A comparison between Worldview-2 and Sentinel-2 imagery

Rocı́o A Araya-López, Javier Lopatin, Fabian E Fassnacht, H Jaime Hernández

ISPRS J. Photogramm. Remote Sens., 2018

7. Predicting Vascular Plant Diversity in Anthropogenic Peatlands: Comparison of Modeling Methods with Free Satellite Data

Ivan Castillo-Riffart, Mauricio Galleguillos, Javier Lopatin, And Jorge F Perez-Quezada

Remote Sensing, 2017

3. Comparing Generalized Linear Models and random forest to model vascular plant species richness using LiDAR data in a natural forest in central Chile

J Lopatin, K Dolos, H J Hernández, M Galleguillos, F E Fassnacht

Remote Sens. Environ., 2016

2. Using a Multistructural Object-Based LiDAR Approach to Estimate Vascular Plant Richness in Mediterranean Forests With Complex Structure

Javier Lopatin, Mauricio Galleguillos, Fabian E Fassnacht, Andrés Ceballos, Jaime Hernández

IEEE Geoscience and Remote Sensing Letters, 2015

1. Estimation of aerial biomass using discrete-wave LiDAR data in combination with different vegetation indices in plantations of Pinus radiata (D. DON), Región del Maule, Chile

Diego Valencia Delgado, Jaime H Hernández, Fabian E Fassnacht, Lissette Cortés, Javier Lopatin, Patricio Corvalán

Sustainability, Agri, Food and Environmental Research, 2014

Publications

33. Convolutional neural network models with low spatial variability hamper the transfer learning process

32. Enhanced Detection of Human-Driven Forest Alterations using Echo State Networks

31. Vegetation browning as an indicator of drought impact and ecosystem resilience

30. Environmental heterogeneity mediates plant diversity and ecosystem stability in mountain ecosystems of the Mediterranean Andes

29. CNN Sensitivity Analysis for Land Cover Map Models Using Sparse and Heterogeneous Satellite Data

28. Deadtrees.Earth - an open-access and interactive database for centimeter-scale aerial imagery to uncover global tree mortality dynamics

27. Evaluating the ability of convolutional neural networks for transfer learning in Pinus radiata cover predictions

26. Post-fire Pinus radiata invasion in a threatened biodiversity hotspot forest: A multi-scale remote sensing assessment

25. Is the change deforestation? Using time-series analysis of satellite data to disentangle deforestation from other forest degradation causes

24. Enhanced Detection of Human-Driven Forest Alterations using Echo State Networks

23. Comparison of carbon and water fluxes and the drivers of ecosystem water use efficiency in a temperate rainforest and a peatland in southern South America

22. Indicators of ecosystem degradation along an elevational gradient in the Mediterranean Andes

21. Interannual Variability of Remotely Sensed Phenology Relates to Plant Communities

20. Hate Speech Recognition in Chilean Tweets

19. Estimation of Foliar Carotenoid Content Using Spectroscopy Wavelet-Based Vegetation Indices

18. Disturbance alters relationships between soil carbon pools and aboveground vegetation attributes in an anthropogenic peatland in Patagonia

17. Surviving in a hostile landscape: Nothofagus alessandrii remnant forests threatened by mega-fires and exotic pine invasion in the coastal range of central Chile

16. Using Sentinel-2 and canopy height models to derive a landscape-level biomass map covering multiple vegetation types

15. Biotic and abiotic drivers of carbon, nitrogen and phosphorus stocks in a temperate rainforest

14. How canopy shadow affects invasive plant species classification in high spatial resolution remote sensing

13. UAV data as alternative to field sampling to map woody invasive species based on combined Sentinel-1 and Sentinel-2 data

12. Using aboveground vegetation attributes as proxies for mapping peatland belowground carbon stocks

11. Unmanned Aerial Vehicles for Vegetation Mapping: Opportunities and Challenges

10. Disentangling effects of climate and land-use change on West African drylands' forage supply

9. Pilot study on the retrieval of DBH and diameter distribution of deciduous forest stands using cast shadows in UAV-based ortomosaics

8. Monitoring Andean high altitude wetlands in central Chile with seasonal optical data: A comparison between Worldview-2 and Sentinel-2 imagery

7. Predicting Vascular Plant Diversity in Anthropogenic Peatlands: Comparison of Modeling Methods with Free Satellite Data

6. Linking plant strategies and plant traits derived by radiative transfer modelling

5. Mapping plant species in mixed grassland communities using close range imaging spectroscopy

4. Linking plant strategies (CSR) and remotely sensed plant traits

3. Comparing Generalized Linear Models and random forest to model vascular plant species richness using LiDAR data in a natural forest in central Chile

2. Using a Multistructural Object-Based LiDAR Approach to Estimate Vascular Plant Richness in Mediterranean Forests With Complex Structure

1. Estimation of aerial biomass using discrete-wave LiDAR data in combination with different vegetation indices in plantations of Pinus radiata (D. DON), Región del Maule, Chile