autoSpectra/CITATION.cff at main · HugoMachadoRodrigues/autoSpectra · GitHub

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cff-version: 1.2.0
message: "If you use autoSpectra, please cite it using the metadata below."
type: software
title: "autoSpectra: Soil Spectral Modeling, Visualization and Prediction"
version: "0.3.0"
date-released: "2026-03-13"
license: MIT
repository-code: "https://github.com/HugoMachadoRodrigues/autoSpectra"
doi: "10.5281/zenodo.19004686"
abstract: >
  An R package and Shiny application for predicting soil physical and chemical
  properties from diffuse reflectance spectra. Supports VisNIR (350–2500 nm)
  and MIR (600–4000 cm⁻¹) spectral domains. Uses soilVAE asymmetric
  autoencoders trained on the Open Soil Spectral Library (OSSL) v1.2 with a
  canonical two-step Savitzky-Golay preprocessing pipeline (SG smooth →
  SG 1st derivative). Supports 34 OSSL Level-1 harmonized soil properties
  and sensor-agnostic prediction across all OSSL-contributing instruments.
keywords:
  - soil spectroscopy
  - near-infrared spectroscopy
  - mid-infrared spectroscopy
  - VisNIR
  - MIR
  - soil science
  - machine learning
  - autoencoder
  - R package
  - Shiny
  - OSSL
  - soil carbon
  - soil texture

authors:
  - family-names: "Rodrigues"
    given-names: "Hugo"
    orcid: "https://orcid.org/0000-0002-8070-8126"
    alias: "@Hugo_MRodrigues"

references:
  - type: article
    title: "Open Soil Spectral Library"
    authors:
      - family-names: "Safanelli"
        given-names: "José Lucas"
      - family-names: "Hengl"
        given-names: "Tomislav"
      - family-names: "Parente"
        given-names: "Leandro"
    journal: "Earth System Science Data"
    year: 2023
    doi: "10.5194/essd-15-3829-2023"
    url: "https://docs.soilspectroscopy.org"

  - type: software
    title: "prospectr: Miscellaneous Functions for Processing and Sample Selection of Spectroscopic Data"
    authors:
      - family-names: "Stevens"
        given-names: "Antoine"
      - family-names: "Ramirez-Lopez"
        given-names: "Leonardo"
    year: 2014
    url: "https://CRAN.R-project.org/package=prospectr"