Institut für Geographie und Geoökologie (IFGG)

Javier Lopatin

  • Doktorand
  • Forschung
  • Gruppe: Vegetation
  • Karlsruher Institut für Technologie (KIT)
    Institut für Geographie und Geoökologie
    Kaiserstr. 12
    76131 Karlsruhe

Javier Lopatin

Remote sensing of the environment


  • Modeling ecological and hydrological parameters with LiDAR data
  • Hyperspectral remote sensing to derive tree species compositions
  • Application of path modeling methods in the context of remote sensing data

Curriculum vitae

2014 PhD student at the Institute of Geography and Geoecology (IfGG), Karlsruhe Institute of Technology (KIT). Topic: Development of a UAV-based remote sensing procedure for ecosystem monitoring.
2012 Diploma in Applied Geomatics, University of Chile.
2007-2011 Engineer in Renewable Natural Resources, University of Chile.


Lopatin J., Hernández J., Galleguillos M. and Mancilla G. 2013. An empirical modeling of runoff in small watersheds using LiDAR data. Presented at AGU (American Geophysical Union), San Francisco, USA, 9 - 13 December. Poster.


Contributions in peer-reviewed journals
2019Kattenborn, T., Lopatin, J., Förster, M., Braun, A. C., Fassnacht, F. E. (2019): UAV data as alternative to field sampling to map woody invasive species based on combined Sentinel-1 and Sentinel-2 data. Remote Sensing of Environment 227, pp. 61–73. 10.1016/j.rse.2019.03.025 PDF

Lopatin, J., Dolos, K., Kattenborn, T., Fassnacht, F. E. (2019): How canopy shadow affects invasive plant species classification in high spatial resolution remote sensing. Remote Sensing in Ecology and Conservation, pp. 1–16. Unter den Bedingungen von Open Access verfügbar 10.1002/rse2.109 PDF

Lopatin, J., Kattenborn, T., Galleguillos, M., Perez-Quezada, J., Schmidtlein, S. (2019): Using aboveground vegetation attributes as proxies for mapping peatland belowground carbon stocks. Remote Sensing of Environment 231, pp. 1–14. 10.1016/j.rse.2019.111217 PDF

2018Araya-López, R. A., Lopatin, J., Fassnacht, F. E., Hernández, H. J. (2018): Monitoring Andean high altitude wetlands in central Chile with seasonal optical data: A comparison between Worldview-2 and Sentinel-2 imagery. ISPRS Journal of Photogrammetry and Remote Sensing 145(Part B), pp. 213–224. 10.1016/j.isprsjprs.2018.04.001

Ferner, J., Schmidtlein, S., Guuroh, R. T., Lopatin, J., Linstädter, A. (2018): Disentangling effects of climate and land-use change on West African drylands’ forage supply. Global Environmental Change 53, pp. 24–38. 10.1016/j.gloenvcha.2018.08.007

Kattenborn, T., Hernández, J., Lopatin, J., Kattenborn, G., Fassnacht, F. E. (2018): Pilot study on the retrieval of DBH and diameter distribution of deciduous forest stands using cast shadows in UAV-based orthomosaics. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp. 93–99. Unter den Bedingungen von Open Access verfügbar 10.5194/isprs-annals-IV-1-93-2018 PDF

2017Castillo-Riffart, I., Galleguillos, M., Lopatin, J., Jorge, P. (2017): Predicting Vascular Plant Diversity in Anthropogenic Peatlands: Comparison of Modeling Methods with Free Satellite Data. Remote Sensing 9(7). Unter den Bedingungen von Open Access verfügbar 10.3390/rs9070681

Kattenborn, T., Fassnacht, F. E., Pierce, S., Lopatin, J., Grime, J. P., Schmidtlein, S. (2017): Linking plant strategies and plant traits derived by radiative transfer modelling. Journal of Vegetation Science 28, pp. 717–727. 10.1111/jvs.12525

Lopatin, J., Fassnacht, F. E., Kattenborn, T., Schmidtlein, S. (2017): Mapping plant species in mixed grassland communities using close range imaging spectroscopy. Remote Sensing of Environment 201, pp. 12–23. 10.1016/j.rse.2017.08.031 PDF

2016Lopatin, J., Dolos, K., Hernández, J., Galleguillos, M., Fassnacht, F. E. (2016): Comparing Generalized Linear Models and random forest to model vascular plant species richness using LiDAR data in a natural forest in central Chile. Remote Sensing of Environment 173, pp. 200–210. 10.1016/j.rse.2015.11.029

2015Lopatin, J., Galleguillos, M., Fassnacht, F. E., Ceballos, A., Hernández, J. (2015): Using a Multistructural Object-Based LiDAR Approach to Estimate Vascular Plant Richness in Mediterranean Forests With Complex Structure. IEEE Geoscience and Remote Sensing Letters 12(5), pp. 1–5. 10.1109/LGRS.2014.2372875 PDF

2014Valencia Delgado, D., Hernández, J., Fassnacht, F. E., Cortez Serey, L., Lopatin, J., Corvalán, P. (2014): 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. Sustainability, Agri, Food and Environmental Research 2(3), pp. 30–49.

Conference Proceedings
2017Lopatin, J., Fassnacht, F. E., Kattenborn, T., Schmidtlein, S. (2017): Hyperspectral classification of grassland species: towards a UAS application for semi-automatic field surveys. Presented at EGU, Vienna, Austria, 08-13 April. Oral presentation. 10.13140/RG.2.2.25184.79361

Lopatin, J., Fassnacht, F. E., Kattenborn, T., Galleguillos, M., Jorge, P., Schmidtlein, S. (2017): Mapping peatland carbon stock: a structural equation modeling approach. Presented at IAVS, Palermo, Italy, 20-24 June. Oral presentation. 10.13140/rg.2.2.15118.46406 PDF

2015Lopatin, J., Galleguillos, M., Hernández, J., Ceballos, A., Fassnacht, F. E. (2015): An Object-based LiDAR Approach to Estimate Vascular Plant Richness in Mediterranean Forest with Complex Structure. Presented at IGARSS (International Geoscience and Remote Sensing Symposium), Milan, Italy, 27-31 July. Oral presentation.

Lopatin, J., Dolos, K., Hernández, J., Galleguillos, M., Fassnacht, F. E. (2015): Comparing generalized linear models and random forest to model vascular plant species richness using LiDAR data in a natural forest in central Chile. Presented at SilviLaser, La Grande-Motte, France, 28 sep-2 oct. Oral presentation.

Acuña, M. P., Lopatin, J., Hernández, J., Estades, C. F. (2015): Testing new approaches to predict the seasonal variation of populations migratory birds on a continental scale. SOCECOL, 3- 6 November, Olmué, Chile. Oral presentation.