Language Breakdown
Lines of code distribution across 9 owned repositories
T-Shaped Developer
T-shapedDeep in R with broad versatility
Collaboration Network
Global Impact visualization
Repos
12
PRs
0
Growth
+18%
Top Collaborators
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Coding Streak
Contribution activity over the past year
Sarvio Valente
@sarviovalente
hydrostat
@hydrostat
Aleena Rayamajhi
@aleenarayamajhi
Julia Silge
@juliasilge
Juliana Abreu Araujo
@araujojuliana
Top Repositories
This repository contains a pipeline blending Python and R features, first to: download, preprocess, and compute Sentinel-1 SAR vegetation indices (all in Python); following for image sampling in R.
It contains Google Earth Engine codes (JavaScript API) to process Sentinel-1 and Landsat 8 images to compute SAR and optical vegetation indices.
R scripts for predicting soil organic carbon using soil spectral library from visible, near-infrared and shortwave-infrared (VNIR) and middle-infrared (MIR) using LASSO and PLS regression methods and the target-oriented cross-validation strategy.
This repo contains a timeline visualization of some (most known) Synthetic Aperture Radar (SAR) orbital missions.
Simple package and function to require (call) or install-to-require (if not available in R library) a package. Useful for lists of packages in common R projects. It uses pak, a flexible method to get packages from CRAN, Github, and other repositories.
Python codes to compute scattering power components from dual-pol SLC and GRD SAR data.
Google Earth Engine application that finds Sentinel-2 images that are cloud-free in a particular area of interest.
Open Source Impact
Contributions to external projects
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