This page shows an overview of the public repositories in my Github/Gitlab:
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Repos to use the U-Net algorithm (i.e., deep learning algorithm) to make a land use/land cover classification U-netR or a 3D version used to detect deforestation UnetRDef.
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Repo with several scripts to perform different analyses for updating some of the Mexico’s Natural Capital indicators (Capital Natural de México). This repo contains much of the work I did in CONABIO (Comisión Nacional para el Conocimiento y Uso de la Biodiversidad) BiodiversidadES.
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Repo to model aboveground biomass (AGB) using LiDAR. Includes scripts for calculating AGB, extracting LiDAR metrics, fitting different models, making AGB predictions and writing a manuscript using RMarkdown. AGBLiDAR.
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Repo to calculate some basic forest’s structural and diversity attributes: VegCommunity.
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Repo to fit linear models using the forest attributes as dependent variables and image texture as independent ones: RSModels.
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Repo to extract additional parameters from the BFAST model, i.e., a method to detect disturbances from images time series (e.g., amplitude, magnitude, R2, NA percentage, stable historical period): bfast_params_extr.
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Repo that contains the files to build the GEE manual book using bookdown GEE_manual.
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Repo that contains the analyses used to discriminate between degraded and conserved forests Conserved-vs-Degraded-Forest.
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Repo to classify vegetation in high and intermediate productivity (using NDVI) to distinguish conserved forest from secondary/degraded Class-HPV-Deg.
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Repo with a leaflet html. Cuilala-map.