Open Soil Spectral Library (OSSL): Building reproducible soil calibration models through open development and community engagement

• Published in: PloS one Vol. 20; no. 1; p. e0296545
• Main Authors: Safanelli, José L., Hengl, Tomislav, Parente, Leandro L., Minarik, Robert, Bloom, Dellena E., Todd-Brown, Katherine, Gholizadeh, Asa, Mendes, Wanderson de Sousa, Sanderman, Jonathan
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 13.01.2025; Public Library of Science (PLoS)
• Subjects: Algorithms; Analysis; Biology and Life Sciences; Calibration; Climate change; Collaboration; Community involvement; Computer and Information Sciences; data collection; Earth Sciences; Ecology and Environmental Sciences; Electrical conductivity; Electrical resistivity; Environmental monitoring; Environmental Monitoring - methods; Health aspects; I.R. radiation; Infrared analysis; Libraries; Machine Learning; Methods; model validation; Near infrared radiation; Nutrients; Open data; Physical Sciences; prediction; Prediction models; Predictions; Research and Analysis Methods; Science Policy; Scientists; Sodium; soil; Soil - chemistry; Soil properties; Soil sciences; Soil types; Spectroscopy; Spectrum analysis; Spectrum Analysis - methods; Sulfur; Testing laboratories; uncertainty; United States; Serbia

Soil spectroscopy is a widely used method for estimating soil properties that are important to environmental and agricultural monitoring. However, a bottleneck to its more widespread adoption is the need for establishing large reference datasets for training machine learning (ML) models, which are c...