Javier Lopatin
@JavierLopatinRemote sensing of Vegetation; UAVs; Hyperspectral; Structural Equation modeling
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Lines of code distribution across 28 owned repositories
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32
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+18%
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Francisco Bravo
@BravoFco
Claire Robin
@Clair3
jbferet
@jbferet
Jordan Graesser
@jgrss
JavierPachecoLabrador
@JavierPachecoLabrador
Top Repositories
Python 3.X scripts for remote sensing processing
Phenological analysis of Remote Sensing data with Python
Mapping invasive tree species in Chile using UAV
Set of functions to help in Partial Least Square Path Modeling (PLS-PM) analysis in spatial ecology applications
Codes for: Javier Lopatin, Fabian E. Fassnacht, Teja Kattenborn, Sebastian Schmidtlein. Mapping plant species in mixed grassland communities using close range imaging spectroscopy. Remote Sensing of Environment 201, 12-23.
R-Codes for the paper 'Using a Multistructural Object-Based LiDAR Approach to Estimate Vascular Plant Richness in Mediterranean Forests With Complex Structure', IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 12, NO. 5
Codes for: Lopatin, J., et al. (2019). Using aboveground vegetation attributes as proxies for mapping peatland belowground carbon stocks. Remote Sens. Environ. 231, 111217
R-codes for: Lopatin, 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
Phenology metrics for the San Francisco Bay area using Time Series of Sentinel-2 data
R-codes for Ecology and Remote Sensing Modeling
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