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Javier Lopatin's Projects

cauquenes icon cauquenes

R-scripts entitled "Using Multi-Sensor Data to Derive a Landscape-Level Biomass Map Covering Multiple Vegetation Types"

clases icon clases

Theoretical and practical classes

datacube icon datacube

Examples using Data Cube Chile, and Xarray

datacubefunctions icon datacubefunctions

A set of miscellaneous functions for working in XArray and Data Cube environments.

grassland-species-classification icon grassland-species-classification

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.

lib-samsara icon lib-samsara

Package for the Satellite Alert and Monitoring System for Areas of Environmental Relevance (SAMSARA).

opendatacubechile icon opendatacubechile

Python scripts for remote sensing analysis using the Data Cube Chile architecture

peatland-carbon-stock icon peatland-carbon-stock

Codes for: Lopatin, J., et al. (2019). Using aboveground vegetation attributes as proxies for mapping peatland belowground carbon stocks. Remote Sens. Environ. 231, 111217

peatland-disturbance-c-pools icon peatland-disturbance-c-pools

Data and R scripts for the manuscript 'Disturbance alters ecological links between soil peatland carbon pools and aboveground vegetation attributes'

peatland-management icon peatland-management

Here, we explore the above- belowground interdependencies differences between a peatland with conservation and productive managements in their carbon stock

phenopy icon phenopy

Phenological analysis of Remote Sensing data with Python

pls-path-modeling icon pls-path-modeling

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

plspmspatial icon plspmspatial

Set of functions to help in Partial Least Square Path Modeling (PLS-PM) analysis in spatial ecology applications

rtm icon rtm

Repository with functions and tools for Radiative Transfer Models and Remote Sensing

simulator icon simulator

R functions for the simulation of multispectral data based on hyperspectral

speciesrichness-glmvsrf-lidar icon speciesrichness-glmvsrf-lidar

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

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